// ----------------------------------------------------------------------
// TODO info is unused
extern "C" magma_int_t
magma_dhtodhe(
magma_int_t ngpu,
magma_uplo_t uplo, magma_int_t n, magma_int_t nb,
double *A, magma_int_t lda,
magmaDouble_ptr dA[], magma_int_t ldda,
magma_queue_t queues[][10],
magma_int_t *info)
{
magma_device_t orig_dev;
magma_getdevice( &orig_dev );
magma_int_t k;
if (uplo == MagmaLower) {
/* go through each block-column */
magma_int_t j, jj, jb, mj;
for (j=0; j < n; j += nb) {
jj = j/(nb*ngpu);
k = (j/nb)%ngpu;
jb = min(nb, (n-j));
mj = n-j;
magma_setdevice( k );
magma_dsetmatrix_async( mj, jb,
A(j,j), lda,
dA(k, j, jj*nb), ldda,
queues[k][0] );
}
}
else {
/* go through each block-column */
magma_int_t j, jj, jb, mj;
for (j=0; j < n; j += nb) {
jj = j/(nb*ngpu);
k = (j/nb)%ngpu;
jb = min(nb, (n-j));
mj = j+jb;
magma_setdevice( k );
magma_dsetmatrix_async( mj, jb,
A(0, j), lda,
dA(k, 0, jj*nb), ldda,
queues[k][0] );
}
}
for( k=0; k < ngpu; k++ ) {
magma_setdevice( k );
magma_queue_sync( queues[k][0] );
}
magma_setdevice( orig_dev );
return *info;
}
extern "C" magma_int_t
magma_dhtodpo(int num_gpus, char *uplo, magma_int_t m, magma_int_t n,
magma_int_t off_i, magma_int_t off_j, magma_int_t nb,
double *a, magma_int_t lda,
double **dwork, magma_int_t ldda,
cudaStream_t stream[][3], magma_int_t *info) {
magma_int_t k;
if( lapackf77_lsame(uplo, "U") ) {
magma_int_t j, jj, jb, mj;
/* go through each column */
for (j=off_j; j<n; j+=nb) {
jj = (j-off_j)/(nb*num_gpus);
k = ((j-off_j)/nb)%num_gpus;
magma_setdevice(k);
jb = min(nb, (n-j));
if(j+jb < off_j+m) mj = (j-off_i)+jb;
else mj = m;
magma_dsetmatrix_async( mj, jb,
A(off_i, j), lda,
dA(k, 0, jj*nb), ldda,
stream[k][0] );
}
} else {
magma_int_t i, ii, ib, ni;
/* go through each row */
for(i=off_i; i<m; i+=nb){
ii = (i-off_i)/(nb*num_gpus);
k = ((i-off_i)/nb)%num_gpus;
magma_setdevice(k);
ib = min(nb, (m-i));
if(i+ib < off_i+n) ni = (i-off_i)+ib;
else ni = n;
magma_dsetmatrix_async( ib, ni,
A(i, off_j), lda,
dA(k, ii*nb, 0), ldda,
stream[k][0] );
}
}
for( k=0; k<num_gpus; k++ ) {
magma_setdevice(k);
magma_queue_sync( stream[k][0] );
}
magma_setdevice(0);
return *info;
}
/**
Purpose
-------
DORMQR overwrites the general real M-by-N matrix C with
@verbatim
SIDE = MagmaLeft SIDE = MagmaRight
TRANS = MagmaNoTrans: Q * C C * Q
TRANS = MagmaTrans: Q**H * C C * Q**H
@endverbatim
where Q is a real unitary matrix defined as the product of k
elementary reflectors
Q = H(1) H(2) . . . H(k)
as returned by DGEQRF. Q is of order M if SIDE = MagmaLeft and of order N
if SIDE = MagmaRight.
Arguments
---------
@param[in]
ngpu INTEGER
Number of GPUs to use. ngpu > 0.
@param[in]
side magma_side_t
- = MagmaLeft: apply Q or Q**H from the Left;
- = MagmaRight: apply Q or Q**H from the Right.
@param[in]
trans magma_trans_t
- = MagmaNoTrans: No transpose, apply Q;
- = MagmaTrans: Conjugate transpose, apply Q**H.
@param[in]
m INTEGER
The number of rows of the matrix C. M >= 0.
@param[in]
n INTEGER
The number of columns of the matrix C. N >= 0.
@param[in]
k INTEGER
The number of elementary reflectors whose product defines
the matrix Q.
If SIDE = MagmaLeft, M >= K >= 0;
if SIDE = MagmaRight, N >= K >= 0.
@param[in]
A DOUBLE_PRECISION array, dimension (LDA,K)
The i-th column must contain the vector which defines the
elementary reflector H(i), for i = 1,2,...,k, as returned by
DGEQRF in the first k columns of its array argument A.
@param[in]
lda INTEGER
The leading dimension of the array A.
If SIDE = MagmaLeft, LDA >= max(1,M);
if SIDE = MagmaRight, LDA >= max(1,N).
@param[in]
tau DOUBLE_PRECISION array, dimension (K)
TAU(i) must contain the scalar factor of the elementary
reflector H(i), as returned by DGEQRF.
@param[in,out]
C DOUBLE_PRECISION array, dimension (LDC,N)
On entry, the M-by-N matrix C.
On exit, C is overwritten by Q*C or Q**H*C or C*Q**H or C*Q.
@param[in]
ldc INTEGER
The leading dimension of the array C. LDC >= max(1,M).
@param[out]
work (workspace) DOUBLE_PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK[0] returns the optimal LWORK.
@param[in]
lwork INTEGER
The dimension of the array WORK.
If SIDE = MagmaLeft, LWORK >= max(1,N);
if SIDE = MagmaRight, LWORK >= max(1,M).
For optimum performance LWORK >= N*NB if SIDE = MagmaLeft, and
LWORK >= M*NB if SIDE = MagmaRight, where NB is the optimal
blocksize.
\n
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued by XERBLA.
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
@ingroup magma_dgeqrf_comp
********************************************************************/
extern "C" magma_int_t
magma_dormqr_m(
magma_int_t ngpu,
magma_side_t side, magma_trans_t trans,
magma_int_t m, magma_int_t n, magma_int_t k,
double *A, magma_int_t lda,
double *tau,
double *C, magma_int_t ldc,
double *work, magma_int_t lwork,
magma_int_t *info)
{
#define A(i, j) (A + (j)*lda + (i))
#define C(i, j) (C + (j)*ldc + (i))
#define dC(gpui, i, j) (dw[gpui] + (j)*lddc + (i))
#define dA_c(gpui, ind, i, j) (dw[gpui] + maxnlocal*lddc + (ind)*lddar*lddac + (i) + (j)*lddac)
#define dA_r(gpui, ind, i, j) (dw[gpui] + maxnlocal*lddc + (ind)*lddar*lddac + (i) + (j)*lddar)
#define dT(gpui, ind) (dw[gpui] + maxnlocal*lddc + 2*lddac*lddar + (ind)*((nb+1)*nb))
#define dwork(gpui, ind) (dw[gpui] + maxnlocal*lddc + 2*lddac*lddar + 2*((nb+1)*nb) + (ind)*(lddwork*nb))
double c_zero = MAGMA_D_ZERO;
double c_one = MAGMA_D_ONE;
const char* side_ = lapack_side_const( side );
const char* trans_ = lapack_trans_const( trans );
// TODO fix memory leak (alloc after argument checks)
magma_int_t nb = 128;
double *T;
magma_dmalloc_pinned(&T, nb*nb);
//printf("calling dormqr_m with nb=%d\n", (int) nb);
double* dw[MagmaMaxGPUs];
magma_queue_t stream [MagmaMaxGPUs][2];
magma_event_t event [MagmaMaxGPUs][2];
magma_int_t ind_c;
magma_device_t igpu;
magma_device_t orig_dev;
magma_getdevice( &orig_dev );
magma_queue_t orig_stream;
magmablasGetKernelStream( &orig_stream );
*info = 0;
magma_int_t left = (side == MagmaLeft);
magma_int_t notran = (trans == MagmaNoTrans);
magma_int_t lquery = (lwork == -1);
/* NQ is the order of Q and NW is the minimum dimension of WORK */
magma_int_t nq, nw;
if (left) {
nq = m;
nw = n;
} else {
nq = n;
nw = m;
}
if (! left && side != MagmaRight) {
*info = -1;
} else if (! notran && trans != MagmaTrans) {
*info = -2;
} else if (m < 0) {
*info = -3;
} else if (n < 0) {
*info = -4;
} else if (k < 0 || k > nq) {
*info = -5;
} else if (lda < max(1,nq)) {
*info = -7;
} else if (ldc < max(1,m)) {
*info = -10;
} else if (lwork < max(1,nw) && ! lquery) {
*info = -12;
}
magma_int_t lwkopt = max(1,nw) * nb;
if (*info == 0) {
work[0] = MAGMA_D_MAKE( lwkopt, 0 );
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
else if (lquery) {
return *info;
}
/* Quick return if possible */
if (m == 0 || n == 0 || k == 0) {
work[0] = c_one;
return *info;
}
if (nb >= k) {
/* Use CPU code */
lapackf77_dormqr(side_, trans_, &m, &n, &k, A, &lda, tau,
C, &ldc, work, &lwork, info);
return *info;
}
magma_int_t lddc = (m+63)/64*64;
magma_int_t lddac = nq;
magma_int_t lddar = nb;
magma_int_t lddwork = nw;
magma_int_t nlocal[ MagmaMaxGPUs ] = { 0 };
magma_int_t nb_l=256;
magma_int_t nbl = (n-1)/nb_l+1; // number of blocks
magma_int_t maxnlocal = (nbl+ngpu-1)/ngpu*nb_l;
ngpu = min(ngpu, (n+nb_l-1)/nb_l); // Don't use GPU that will not have data.
magma_int_t ldw = maxnlocal*lddc // dC
+ 2*lddac*lddar // 2*dA
+ 2*(nb + 1 + lddwork)*nb; // 2*(dT and dwork)
for (igpu = 0; igpu < ngpu; ++igpu) {
magma_setdevice(igpu);
if (MAGMA_SUCCESS != magma_dmalloc( &dw[igpu], ldw )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
magma_xerbla( __func__, -(*info) );
return *info;
}
magma_queue_create( &stream[igpu][0] );
magma_queue_create( &stream[igpu][1] );
magma_event_create( &event[igpu][0] );
magma_event_create( &event[igpu][1] );
}
/* Use hybrid CPU-MGPU code */
if (left) {
//copy C to mgpus
for (magma_int_t i = 0; i < nbl; ++i) {
magma_int_t igpu = i%ngpu;
magma_setdevice(igpu);
magma_int_t kb = min(nb_l, n-i*nb_l);
magma_dsetmatrix_async( m, kb,
C(0, i*nb_l), ldc,
dC(igpu, 0, i/ngpu*nb_l), lddc, stream[igpu][0] );
nlocal[igpu] += kb;
}
magma_int_t i1, i2, i3;
if ( !notran ) {
i1 = 0;
i2 = k;
i3 = nb;
} else {
i1 = (k - 1) / nb * nb;
i2 = 0;
i3 = -nb;
}
ind_c = 0;
for (magma_int_t i = i1; (i3 < 0 ? i >= i2 : i < i2); i += i3) {
// start the copy of A panel
magma_int_t kb = min(nb, k - i);
for (igpu = 0; igpu < ngpu; ++igpu) {
magma_setdevice(igpu);
magma_event_sync(event[igpu][ind_c]); // check if the new data can be copied
magma_dsetmatrix_async(nq-i, kb,
A(i, i), lda,
dA_c(igpu, ind_c, i, 0), lddac, stream[igpu][0] );
// set upper triangular part of dA to identity
magmablas_dlaset_band_q( MagmaUpper, kb, kb, kb, c_zero, c_one, dA_c(igpu, ind_c, i, 0), lddac, stream[igpu][0] );
}
/* Form the triangular factor of the block reflector
H = H(i) H(i+1) . . . H(i+ib-1) */
magma_int_t nqi = nq - i;
lapackf77_dlarft("F", "C", &nqi, &kb, A(i, i), &lda,
&tau[i], T, &kb);
/* H or H' is applied to C(1:m,i:n) */
/* Apply H or H'; First copy T to the GPU */
for (igpu = 0; igpu < ngpu; ++igpu) {
magma_setdevice(igpu);
magma_dsetmatrix_async(kb, kb,
T, kb,
dT(igpu, ind_c), kb, stream[igpu][0] );
}
for (igpu = 0; igpu < ngpu; ++igpu) {
magma_setdevice(igpu);
magma_queue_sync( stream[igpu][0] ); // check if the data was copied
magmablasSetKernelStream(stream[igpu][1]);
magma_dlarfb_gpu( side, trans, MagmaForward, MagmaColumnwise,
m-i, nlocal[igpu], kb,
dA_c(igpu, ind_c, i, 0), lddac, dT(igpu, ind_c), kb,
dC(igpu, i, 0), lddc,
dwork(igpu, ind_c), lddwork);
magma_event_record(event[igpu][ind_c], stream[igpu][1] );
}
ind_c = (ind_c+1)%2;
}
for (igpu = 0; igpu < ngpu; ++igpu) {
magma_setdevice(igpu);
magma_queue_sync( stream[igpu][1] );
}
//copy C from mgpus
for (magma_int_t i = 0; i < nbl; ++i) {
magma_int_t igpu = i%ngpu;
magma_setdevice(igpu);
magma_int_t kb = min(nb_l, n-i*nb_l);
magma_dgetmatrix( m, kb,
dC(igpu, 0, i/ngpu*nb_l), lddc,
C(0, i*nb_l), ldc );
// magma_dgetmatrix_async( m, kb,
// dC(igpu, 0, i/ngpu*nb_l), lddc,
// C(0, i*nb_l), ldc, stream[igpu][0] );
}
} else {
// TODO fix memory leak T, dw, event, stream
fprintf(stderr, "The case (side == right) is not implemented\n");
*info = MAGMA_ERR_NOT_IMPLEMENTED;
magma_xerbla( __func__, -(*info) );
return *info;
/*
if ( notran ) {
i1 = 0;
i2 = k;
i3 = nb;
} else {
i1 = (k - 1) / nb * nb;
i2 = 0;
i3 = -nb;
}
mi = m;
ic = 0;
for (i = i1; (i3 < 0 ? i >= i2 : i < i2); i += i3) {
ib = min(nb, k - i);
// Form the triangular factor of the block reflector
// H = H(i) H(i+1) . . . H(i+ib-1)
i__4 = nq - i;
lapackf77_dlarft("F", "C", &i__4, &ib, A(i, i), &lda,
&tau[i], T, &ib);
// 1) copy the panel from A to the GPU, and
// 2) set upper triangular part of dA to identity
magma_dsetmatrix( i__4, ib, A(i, i), lda, dA(i, 0), ldda );
magmablas_dlaset_band( MagmaUpper, ib, ib, ib, c_zero, c_one, dA(i, 0), ldda );
// H or H' is applied to C(1:m,i:n)
ni = n - i;
jc = i;
// Apply H or H'; First copy T to the GPU
magma_dsetmatrix( ib, ib, T, ib, dT, ib );
magma_dlarfb_gpu( side, trans, MagmaForward, MagmaColumnwise,
mi, ni, ib,
dA(i, 0), ldda, dT, ib,
dC(ic, jc), lddc,
dwork, lddwork);
}
*/
}
work[0] = MAGMA_D_MAKE( lwkopt, 0 );
for (igpu = 0; igpu < ngpu; ++igpu) {
magma_setdevice(igpu);
magma_event_destroy( event[igpu][0] );
magma_event_destroy( event[igpu][1] );
magma_queue_destroy( stream[igpu][0] );
magma_queue_destroy( stream[igpu][1] );
magma_free( dw[igpu] );
}
magma_setdevice( orig_dev );
magmablasSetKernelStream( orig_stream );
return *info;
} /* magma_dormqr */
extern "C" magma_int_t
magma_dgeqp3( magma_int_t m, magma_int_t n,
double *A, magma_int_t lda,
magma_int_t *jpvt, double *tau,
double *work, magma_int_t lwork,
#if defined(PRECISION_z) || defined(PRECISION_c)
double *rwork,
#endif
magma_int_t *info )
{
/* -- MAGMA (version 1.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
August 2013
Purpose
=======
DGEQP3 computes a QR factorization with column pivoting of a
matrix A: A*P = Q*R using Level 3 BLAS.
Arguments
=========
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
A (input/output) DOUBLE_PRECISION array, dimension (LDA,N)
On entry, the M-by-N matrix A.
On exit, the upper triangle of the array contains the
min(M,N)-by-N upper trapezoidal matrix R; the elements below
the diagonal, together with the array TAU, represent the
unitary matrix Q as a product of min(M,N) elementary
reflectors.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
JPVT (input/output) INTEGER array, dimension (N)
On entry, if JPVT(J).ne.0, the J-th column of A is permuted
to the front of A*P (a leading column); if JPVT(J)=0,
the J-th column of A is a free column.
On exit, if JPVT(J)=K, then the J-th column of A*P was the
the K-th column of A.
TAU (output) DOUBLE_PRECISION array, dimension (min(M,N))
The scalar factors of the elementary reflectors.
WORK (workspace/output) DOUBLE_PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO=0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The dimension of the array WORK.
For [sd]geqp3, LWORK >= (N+1)*NB + 2*N;
for [cz]geqp3, LWORK >= (N+1)*NB,
where NB is the optimal blocksize.
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued by XERBLA.
For [cz]geqp3 only:
RWORK (workspace) DOUBLE PRECISION array, dimension (2*N)
INFO (output) INTEGER
= 0: successful exit.
< 0: if INFO = -i, the i-th argument had an illegal value.
Further Details
===============
The matrix Q is represented as a product of elementary reflectors
Q = H(1) H(2) . . . H(k), where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector
with v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in
A(i+1:m,i), and tau in TAU(i).
===================================================================== */
#define A(i, j) (A + (i) + (j)*(lda ))
#define dA(i, j) (dwork + (i) + (j)*(ldda))
double *dwork, *df;
magma_int_t ione = 1;
magma_int_t n_j, ldda, ldwork;
magma_int_t j, jb, na, nb, sm, sn, fjb, nfxd, minmn;
magma_int_t topbmn, sminmn, lwkopt, lquery;
*info = 0;
lquery = (lwork == -1);
if (m < 0) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (lda < max(1,m)) {
*info = -4;
}
nb = magma_get_dgeqp3_nb(min(m, n));
if (*info == 0) {
minmn = min(m,n);
if (minmn == 0) {
lwkopt = 1;
} else {
lwkopt = (n + 1)*nb;
#if defined(PRECISION_d) || defined(PRECISION_s)
lwkopt += 2*n;
#endif
}
work[0] = MAGMA_D_MAKE( lwkopt, 0. );
if (lwork < lwkopt && ! lquery) {
*info = -8;
}
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
} else if (lquery) {
return *info;
}
if (minmn == 0)
return *info;
#if defined(PRECISION_d) || defined(PRECISION_s)
double *rwork = work + (n + 1)*nb;
#endif
ldda = ((m+31)/32)*32;
ldwork = n*ldda + (n+1)*nb;
if (MAGMA_SUCCESS != magma_dmalloc( &dwork, ldwork )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
df = dwork + n*ldda;
// dwork used for dA
magma_queue_t stream;
magma_queue_create( &stream );
/* Move initial columns up front.
* Note jpvt uses 1-based indices for historical compatibility. */
nfxd = 0;
for (j = 0; j < n; ++j) {
if (jpvt[j] != 0) {
if (j != nfxd) {
blasf77_dswap(&m, A(0, j), &ione, A(0, nfxd), &ione);
jpvt[j] = jpvt[nfxd];
jpvt[nfxd] = j + 1;
}
else {
jpvt[j] = j + 1;
}
++nfxd;
}
else {
jpvt[j] = j + 1;
}
}
/* Factorize fixed columns
=======================
Compute the QR factorization of fixed columns and update
remaining columns. */
if (nfxd > 0) {
na = min(m,nfxd);
lapackf77_dgeqrf(&m, &na, A, &lda, tau, work, &lwork, info);
if (na < n) {
n_j = n - na;
lapackf77_dormqr( MagmaLeftStr, MagmaTransStr, &m, &n_j, &na,
A, &lda, tau, A(0, na), &lda,
work, &lwork, info );
}
}
/* Factorize free columns */
if (nfxd < minmn) {
sm = m - nfxd;
sn = n - nfxd;
sminmn = minmn - nfxd;
if (nb < sminmn) {
j = nfxd;
// Set the original matrix to the GPU
magma_dsetmatrix_async( m, sn,
A (0,j), lda,
dA(0,j), ldda, stream );
}
/* Initialize partial column norms. */
for (j = nfxd; j < n; ++j) {
rwork[j] = cblas_dnrm2(sm, A(nfxd, j), ione);
rwork[n + j] = rwork[j];
}
j = nfxd;
if (nb < sminmn) {
/* Use blocked code initially. */
magma_queue_sync( stream );
/* Compute factorization: while loop. */
topbmn = minmn - nb;
while(j < topbmn) {
jb = min(nb, topbmn - j);
/* Factorize JB columns among columns J:N. */
n_j = n - j;
if (j>nfxd) {
// Get panel to the CPU
magma_dgetmatrix( m-j, jb,
dA(j,j), ldda,
A (j,j), lda );
// Get the rows
magma_dgetmatrix( jb, n_j - jb,
dA(j,j + jb), ldda,
A (j,j + jb), lda );
}
magma_dlaqps( m, n_j, j, jb, &fjb,
A (0, j), lda,
dA(0, j), ldda,
&jpvt[j], &tau[j], &rwork[j], &rwork[n + j],
work,
&work[jb], n_j,
&df[jb], n_j );
j += fjb; /* fjb is actual number of columns factored */
}
}
/* Use unblocked code to factor the last or only block. */
if (j < minmn) {
n_j = n - j;
if (j > nfxd) {
magma_dgetmatrix( m-j, n_j,
dA(j,j), ldda,
A (j,j), lda );
}
lapackf77_dlaqp2(&m, &n_j, &j, A(0, j), &lda, &jpvt[j],
&tau[j], &rwork[j], &rwork[n+j], work );
}
}
work[0] = MAGMA_D_MAKE( lwkopt, 0. );
magma_free( dwork );
magma_queue_destroy( stream );
return *info;
} /* dgeqp3 */
extern "C" magma_int_t
magma_dsytrf_nopiv(magma_uplo_t uplo, magma_int_t n,
double *A, magma_int_t lda,
magma_int_t *info)
{
/* -- MAGMA (version 1.6.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
November 2011
Purpose
=======
DSYTRF_nopiv computes the LDLt factorization of a real symmetric
matrix A. This version does not require work space on the GPU passed
as input. GPU memory is allocated in the routine.
The factorization has the form
A = U\*\*H * D * U, if UPLO = 'U', or
A = L * D * L\*\*H, if UPLO = 'L',
where U is an upper triangular matrix, L is lower triangular, and
D is a diagonal matrix.
This is the block version of the algorithm, calling Level 3 BLAS.
Arguments
=========
UPLO (input) CHARACTER*1
= 'U': Upper triangle of A is stored;
= 'L': Lower triangle of A is stored.
N (input) INTEGER
The order of the matrix A. N >= 0.
A (input/output) DOUBLE_PRECISION array, dimension (LDA,N)
On entry, the symmetric matrix A. If UPLO = 'U', the leading
N-by-N upper triangular part of A contains the upper
triangular part of the matrix A, and the strictly lower
triangular part of A is not referenced. If UPLO = 'L', the
leading N-by-N lower triangular part of A contains the lower
triangular part of the matrix A, and the strictly upper
triangular part of A is not referenced.
On exit, if INFO = 0, the factor U or L from the Cholesky
factorization A = U\*\*H*U or A = L*L\*\*H.
Higher performance is achieved if A is in pinned memory, e.g.
allocated using cudaMallocHost.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,N).
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
if INFO = -6, the GPU memory allocation failed
> 0: if INFO = i, the leading minor of order i is not
positive definite, and the factorization could not be
completed.
===================================================================== */
/* Local variables */
double zone = MAGMA_D_ONE;
double mzone = MAGMA_D_NEG_ONE;
int upper = (uplo == MagmaUpper);
magma_int_t j, k, jb, ldda, nb, ib, iinfo;
magmaDouble_ptr dA;
magmaDouble_ptr dW;
*info = 0;
if (! upper && uplo != MagmaLower) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (lda < max(1,n)) {
*info = -4;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return MAGMA_ERR_ILLEGAL_VALUE;
}
/* Quick return */
if ( n == 0 )
return MAGMA_SUCCESS;
ldda = ((n+31)/32)*32;
nb = magma_get_dsytrf_nopiv_nb(n);
ib = min(32, nb); // inner-block for diagonal factorization
if ((MAGMA_SUCCESS != magma_dmalloc(&dA, n *ldda)) ||
(MAGMA_SUCCESS != magma_dmalloc(&dW, nb*ldda))) {
/* alloc failed so call the non-GPU-resident version */
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
magma_queue_t stream[2];
magma_event_t event;
magma_queue_create(&stream[0]);
magma_queue_create(&stream[1]);
magma_event_create( &event );
trace_init( 1, 1, 2, (CUstream_st**)stream );
//if (nb <= 1 || nb >= n)
//{
// lapackf77_dpotrf(uplo_, &n, a, &lda, info);
//} else
{
/* Use hybrid blocked code. */
if (upper) {
//=========================================================
// Compute the LDLt factorization A = U'*D*U without pivoting.
// copy matrix to GPU
for (j=0; j<n; j+=nb) {
jb = min(nb, (n-j));
trace_gpu_start( 0, 0, "set", "set" );
magma_dsetmatrix_async(j+jb, jb, A(0, j), lda, dA(0, j), ldda, stream[0]);
trace_gpu_end( 0, 0 );
}
// main loop
for (j=0; j<n; j += nb) {
jb = min(nb, (n-j));
// copy A(j,j) back to CPU
trace_gpu_start( 0, 0, "get", "get" );
magma_dgetmatrix_async(jb, jb, dA(j, j), ldda, A(j,j), lda, stream[0]);
trace_gpu_end( 0, 0 );
// copy j-th column of U back to CPU
magma_queue_wait_event( stream[1], event );
trace_gpu_start( 0, 1, "get", "get" );
magma_dgetmatrix_async(j, jb, dA(0, j), ldda, A(0, j), lda, stream[1]);
trace_gpu_end( 0, 1 );
// factorize the diagonal block
magma_queue_sync(stream[0]);
trace_cpu_start( 0, "potrf", "potrf" );
dsytrf_nopiv_cpu(MagmaUpper, jb, ib, A(j, j), lda, info);
trace_cpu_end( 0 );
if (*info != 0){
*info = *info + j;
break;
}
// copy A(j,j) back to GPU
trace_gpu_start( 0, 0, "set", "set" );
magma_dsetmatrix_async(jb, jb, A(j, j), lda, dA(j, j), ldda, stream[0]);
trace_gpu_end( 0, 0 );
if ( (j+jb) < n) {
// compute the off-diagonal blocks of current block column
magmablasSetKernelStream( stream[0] );
trace_gpu_start( 0, 0, "trsm", "trsm" );
magma_dtrsm(MagmaLeft, MagmaUpper, MagmaConjTrans, MagmaUnit,
jb, (n-j-jb),
zone, dA(j, j), ldda,
dA(j, j+jb), ldda);
magma_dcopymatrix( jb, n-j-jb, dA( j, j+jb ), ldda, dWt( 0, j+jb ), nb );
// update the trailing submatrix with D
magmablas_dlascl_diag(MagmaUpper, jb, n-j-jb,
dA(j, j), ldda,
dA(j, j+jb), ldda,
&iinfo);
magma_event_record( event, stream[0] );
trace_gpu_end( 0, 0 );
// update the trailing submatrix with U and W
trace_gpu_start( 0, 0, "gemm", "gemm" );
for (k=j+jb; k<n; k+=nb)
{
magma_int_t kb = min(nb,n-k);
magma_dgemm(MagmaConjTrans, MagmaNoTrans, kb, n-k, jb,
mzone, dWt(0, k), nb,
dA(j, k), ldda,
zone, dA(k, k), ldda);
}
trace_gpu_end( 0, 0 );
}
}
} else {
//=========================================================
// Compute the LDLt factorization A = L*D*L' without pivoting.
// copy the matrix to GPU
for (j=0; j<n; j+=nb) {
jb = min(nb, (n-j));
trace_gpu_start( 0, 0, "set", "set" );
magma_dsetmatrix_async((n-j), jb, A(j, j), lda, dA(j, j), ldda, stream[0]);
trace_gpu_end( 0, 0 );
}
// main loop
for (j=0; j<n; j+=nb) {
jb = min(nb, (n-j));
// copy A(j,j) back to CPU
trace_gpu_start( 0, 0, "get", "get" );
magma_dgetmatrix_async(jb, jb, dA(j, j), ldda, A(j,j), lda, stream[0]);
trace_gpu_end( 0, 0 );
// copy j-th row of L back to CPU
magma_queue_wait_event( stream[1], event );
trace_gpu_start( 0, 1, "get", "get" );
magma_dgetmatrix_async(jb, j, dA(j, 0), ldda, A(j, 0), lda, stream[1]);
trace_gpu_end( 0, 1 );
// factorize the diagonal block
magma_queue_sync(stream[0]);
trace_cpu_start( 0, "potrf", "potrf" );
dsytrf_nopiv_cpu(MagmaLower, jb, ib, A(j, j), lda, info);
trace_cpu_end( 0 );
if (*info != 0){
*info = *info + j;
break;
}
// copy A(j,j) back to GPU
trace_gpu_start( 0, 0, "set", "set" );
magma_dsetmatrix_async(jb, jb, A(j, j), lda, dA(j, j), ldda, stream[0]);
trace_gpu_end( 0, 0 );
if ( (j+jb) < n) {
// compute the off-diagonal blocks of current block column
magmablasSetKernelStream( stream[0] );
trace_gpu_start( 0, 0, "trsm", "trsm" );
magma_dtrsm(MagmaRight, MagmaLower, MagmaConjTrans, MagmaUnit,
(n-j-jb), jb,
zone, dA(j, j), ldda,
dA(j+jb, j), ldda);
magma_dcopymatrix( n-j-jb,jb, dA( j+jb, j ), ldda, dW( j+jb, 0 ), ldda );
// update the trailing submatrix with D
magmablas_dlascl_diag(MagmaLower, n-j-jb, jb,
dA(j, j), ldda,
dA(j+jb, j), ldda,
&iinfo);
magma_event_record( event, stream[0] );
trace_gpu_end( 0, 0 );
// update the trailing submatrix with L and W
trace_gpu_start( 0, 0, "gemm", "gemm" );
for (k=j+jb; k<n; k+=nb)
{
magma_int_t kb = min(nb,n-k);
magma_dgemm(MagmaNoTrans, MagmaConjTrans, n-k, kb, jb,
mzone, dA(k, j), ldda,
dW(k, 0), ldda,
zone, dA(k, k), ldda);
}
trace_gpu_end( 0, 0 );
}
}
}
}
trace_finalize( "dsytrf.svg","trace.css" );
magma_queue_destroy(stream[0]);
magma_queue_destroy(stream[1]);
magma_event_destroy( event );
magma_free(dW);
magma_free(dA);
return MAGMA_SUCCESS;
} /* magma_dsytrf_nopiv */
/***************************************************************************//**
Purpose
-------
DORGQR generates an M-by-N DOUBLE PRECISION matrix Q with orthonormal columns,
which is defined as the first N columns of a product of K elementary
reflectors of order M
Q = H(1) H(2) . . . H(k)
as returned by DGEQRF.
Arguments
---------
@param[in]
m INTEGER
The number of rows of the matrix Q. M >= 0.
@param[in]
n INTEGER
The number of columns of the matrix Q. M >= N >= 0.
@param[in]
k INTEGER
The number of elementary reflectors whose product defines the
matrix Q. N >= K >= 0.
@param[in,out]
A DOUBLE PRECISION array A, dimension (LDDA,N).
On entry, the i-th column must contain the vector
which defines the elementary reflector H(i), for
i = 1,2,...,k, as returned by DGEQRF_GPU in the
first k columns of its array argument A.
On exit, the M-by-N matrix Q.
@param[in]
lda INTEGER
The first dimension of the array A. LDA >= max(1,M).
@param[in]
tau DOUBLE PRECISION array, dimension (K)
TAU(i) must contain the scalar factor of the elementary
reflector H(i), as returned by DGEQRF_GPU.
@param[in]
T DOUBLE PRECISION array, dimension (NB, min(M,N)).
T contains the T matrices used in blocking the elementary
reflectors H(i), e.g., this can be the 6th argument of
magma_dgeqrf_gpu (except stored on the CPU, not the GPU).
@param[in]
nb INTEGER
This is the block size used in DGEQRF_GPU, and correspondingly
the size of the T matrices, used in the factorization, and
stored in T.
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
@ingroup magma_ungqr
*******************************************************************************/
extern "C" magma_int_t
magma_dorgqr_m(
magma_int_t m, magma_int_t n, magma_int_t k,
double *A, magma_int_t lda,
double *tau,
double *T, magma_int_t nb,
magma_int_t *info)
{
#define A(i,j) ( A + (i) + (j)*lda )
#define dA(d,i,j) (dA[d] + (i) + (j)*ldda)
#define dT(d,i,j) (dT[d] + (i) + (j)*nb)
double c_zero = MAGMA_D_ZERO;
double c_one = MAGMA_D_ONE;
magma_int_t m_kk, n_kk, k_kk, mi;
magma_int_t lwork, ldwork;
magma_int_t d, i, ib, j, jb, ki, kk;
double *work=NULL;
*info = 0;
if (m < 0) {
*info = -1;
} else if ((n < 0) || (n > m)) {
*info = -2;
} else if ((k < 0) || (k > n)) {
*info = -3;
} else if (lda < max(1,m)) {
*info = -5;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
if (n <= 0) {
return *info;
}
magma_int_t di, dn;
magma_int_t dpanel;
magma_int_t ngpu = magma_num_gpus();
magma_device_t orig_dev;
magma_getdevice( &orig_dev );
// Allocate memory on GPUs for A and workspaces
magma_int_t ldda = magma_roundup( m, 32 );
magma_int_t lddwork = magma_roundup( n, 32 );
magma_int_t min_lblocks = (n / nb) / ngpu; // min. blocks per gpu
magma_int_t last_dev = (n / nb) % ngpu; // device with last block
magma_int_t nlocal[ MagmaMaxGPUs ] = { 0 };
double *dA[ MagmaMaxGPUs ] = { NULL };
double *dT[ MagmaMaxGPUs ] = { NULL };
double *dV[ MagmaMaxGPUs ] = { NULL };
double *dW[ MagmaMaxGPUs ] = { NULL };
magma_queue_t queues[ MagmaMaxGPUs ] = { NULL };
for( d = 0; d < ngpu; ++d ) {
// example with n = 75, nb = 10, ngpu = 3
// min_lblocks = 2
// last_dev = 1
// gpu 0: 2 blocks, cols: 0- 9, 30-39, 60-69
// gpu 1: 1+ blocks, cols: 10-19, 40-49, 70-74 (partial)
// gpu 2: 1 block, cols: 20-29, 50-59
magma_setdevice( d );
nlocal[d] = min_lblocks*nb;
if ( d < last_dev ) {
nlocal[d] += nb;
}
else if ( d == last_dev ) {
nlocal[d] += (n % nb);
}
ldwork = nlocal[d]*ldda // dA
+ nb*m // dT
+ nb*ldda // dV
+ nb*lddwork; // dW
if ( MAGMA_SUCCESS != magma_dmalloc( &dA[d], ldwork )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
goto cleanup;
}
dT[d] = dA[d] + nlocal[d]*ldda;
dV[d] = dT[d] + nb*m;
dW[d] = dV[d] + nb*ldda;
magma_queue_create( d, &queues[d] );
}
trace_init( 1, ngpu, 1, queues );
// first kk columns are handled by blocked method.
// ki is start of 2nd-to-last block
if ((nb > 1) && (nb < k)) {
ki = (k - nb - 1) / nb * nb;
kk = min(k, ki + nb);
} else {
ki = 0;
kk = 0;
}
// Allocate CPU work space
// n*nb for larfb work
// m*nb for V
// nb*nb for T
lwork = (n + m + nb) * nb;
magma_dmalloc_cpu( &work, lwork );
if (work == NULL) {
*info = MAGMA_ERR_HOST_ALLOC;
goto cleanup;
}
double *work_T, *work_V;
work_T = work + n*nb;
work_V = work + n*nb + nb*nb;
// Use unblocked code for the last or only block.
if (kk < n) {
trace_cpu_start( 0, "ungqr", "ungqr last block" );
m_kk = m - kk;
n_kk = n - kk;
k_kk = k - kk;
// dorgqr requires less workspace (n*nb), but is slow if k < dorgqr's block size.
// replacing it with the 4 routines below is much faster (e.g., 60x).
//magma_int_t iinfo;
//lapackf77_dorgqr( &m_kk, &n_kk, &k_kk,
// A(kk, kk), &lda,
// &tau[kk], work, &lwork, &iinfo );
lapackf77_dlacpy( MagmaFullStr, &m_kk, &k_kk, A(kk,kk), &lda, work_V, &m_kk);
lapackf77_dlaset( MagmaFullStr, &m_kk, &n_kk, &c_zero, &c_one, A(kk, kk), &lda );
lapackf77_dlarft( MagmaForwardStr, MagmaColumnwiseStr,
&m_kk, &k_kk,
work_V, &m_kk, &tau[kk], work_T, &k_kk);
lapackf77_dlarfb( MagmaLeftStr, MagmaNoTransStr, MagmaForwardStr, MagmaColumnwiseStr,
&m_kk, &n_kk, &k_kk,
work_V, &m_kk, work_T, &k_kk, A(kk, kk), &lda, work, &n_kk );
if (kk > 0) {
for( j=kk; j < n; j += nb ) {
jb = min( n-j, nb );
d = (j / nb) % ngpu;
di = ((j / nb) / ngpu) * nb;
magma_setdevice( d );
magma_dsetmatrix( m_kk, jb,
A(kk, j), lda,
dA(d, kk, di), ldda, queues[d] );
// Set A(1:kk,kk+1:n) to zero.
magmablas_dlaset( MagmaFull, kk, jb, c_zero, c_zero, dA(d, 0, di), ldda, queues[d] );
}
}
trace_cpu_end( 0 );
}
if (kk > 0) {
// Use blocked code
// send T to all GPUs
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
trace_gpu_start( d, 0, "set", "set T" );
magma_dsetmatrix_async( nb, min(m,n), T, nb, dT[d], nb, queues[d] );
trace_gpu_end( d, 0 );
}
// queue: set Aii (V) --> laset --> laset --> larfb --> [next]
// CPU has no computation
for( i = ki; i >= 0; i -= nb ) {
ib = min(nb, k - i);
mi = m - i;
dpanel = (i / nb) % ngpu;
di = ((i / nb) / ngpu) * nb;
// Send current panel to dV on the GPUs
lapackf77_dlaset( "Upper", &ib, &ib, &c_zero, &c_one, A(i, i), &lda );
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
trace_gpu_start( d, 0, "set", "set V" );
magma_dsetmatrix_async( mi, ib,
A(i, i), lda,
dV[d], ldda, queues[d] );
trace_gpu_end( d, 0 );
}
// set panel to identity
magma_setdevice( dpanel );
trace_gpu_start( dpanel, 0, "laset", "laset" );
magmablas_dlaset( MagmaFull, i, ib, c_zero, c_zero, dA(dpanel, 0, di), ldda, queues[dpanel] );
magmablas_dlaset( MagmaFull, mi, ib, c_zero, c_one, dA(dpanel, i, di), ldda, queues[dpanel] );
trace_gpu_end( dpanel, 0 );
if (i < n) {
// Apply H to A(i:m,i:n) from the left
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
magma_indices_1D_bcyclic( nb, ngpu, d, i, n, &di, &dn );
trace_gpu_start( d, 0, "larfb", "larfb" );
magma_dlarfb_gpu( MagmaLeft, MagmaNoTrans, MagmaForward, MagmaColumnwise,
mi, dn-di, ib,
dV[d], ldda, dT(d,0,i), nb,
dA(d, i, di), ldda, dW[d], lddwork, queues[d] );
trace_gpu_end( d, 0 );
}
}
}
// copy result back to CPU
trace_cpu_start( 0, "get", "get A" );
magma_dgetmatrix_1D_col_bcyclic( ngpu, m, n, nb, dA, ldda, A, lda, queues );
trace_cpu_end( 0 );
}
#ifdef TRACING
char name[80];
snprintf( name, sizeof(name), "dorgqr-n%lld-ngpu%lld.svg", (long long) m, (long long) ngpu );
trace_finalize( name, "trace.css" );
#endif
cleanup:
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
magma_free( dA[d] );
magma_queue_destroy( queues[d] );
}
magma_free_cpu( work );
magma_setdevice( orig_dev );
return *info;
} /* magma_dorgqr */
/**
Purpose
-------
DLAHR2 reduces the first NB columns of a real general n-BY-(n-k+1)
matrix A so that elements below the k-th subdiagonal are zero. The
reduction is performed by an orthogonal similarity transformation
Q' * A * Q. The routine returns the matrices V and T which determine
Q as a block reflector I - V*T*V', and also the matrix Y = A * V.
(Note this is different than LAPACK, which computes Y = A * V * T.)
This is an auxiliary routine called by DGEHRD.
Arguments
---------
@param[in]
n INTEGER
The order of the matrix A.
@param[in]
k INTEGER
The offset for the reduction. Elements below the k-th
subdiagonal in the first NB columns are reduced to zero.
K < N.
@param[in]
nb INTEGER
The number of columns to be reduced.
@param[in,out]
A DOUBLE_PRECISION array, dimension (LDA,N-K+1)
On entry, the n-by-(n-k+1) general matrix A.
On exit, the elements on and above the k-th subdiagonal in
the first NB columns are overwritten with the corresponding
elements of the reduced matrix; the elements below the k-th
subdiagonal, with the array TAU, represent the matrix Q as a
product of elementary reflectors. The other columns of A are
unchanged. See Further Details.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,N).
@param[out]
tau DOUBLE_PRECISION array, dimension (NB)
The scalar factors of the elementary reflectors. See Further
Details.
@param[out]
T DOUBLE_PRECISION array, dimension (LDT,NB)
The upper triangular matrix T.
@param[in]
ldt INTEGER
The leading dimension of the array T. LDT >= NB.
@param[out]
Y DOUBLE_PRECISION array, dimension (LDY,NB)
The n-by-nb matrix Y.
@param[in]
ldy INTEGER
The leading dimension of the array Y. LDY >= N.
@param[in,out]
data Structure with pointers to dA, dT, dV, dW, dY
which are distributed across multiple GPUs.
Further Details
---------------
The matrix Q is represented as a product of nb elementary reflectors
Q = H(1) H(2) . . . H(nb).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(1:i+k-1) = 0, v(i+k) = 1; v(i+k+1:n) is stored on exit in
A(i+k+1:n,i), and tau in TAU(i).
The elements of the vectors v together form the (n-k+1)-by-nb matrix
V which is needed, with T and Y, to apply the transformation to the
unreduced part of the matrix, using an update of the form:
A := (I - V*T*V') * (A - Y*T*V').
The contents of A on exit are illustrated by the following example
with n = 7, k = 3 and nb = 2:
@verbatim
( a a a a a )
( a a a a a )
( a a a a a )
( h h a a a )
( v1 h a a a )
( v1 v2 a a a )
( v1 v2 a a a )
@endverbatim
where "a" denotes an element of the original matrix A, h denotes a
modified element of the upper Hessenberg matrix H, and vi denotes an
element of the vector defining H(i).
This implementation follows the hybrid algorithm and notations described in
S. Tomov and J. Dongarra, "Accelerating the reduction to upper Hessenberg
form through hybrid GPU-based computing," University of Tennessee Computer
Science Technical Report, UT-CS-09-642 (also LAPACK Working Note 219),
May 24, 2009.
@ingroup magma_dgeev_aux
********************************************************************/
extern "C" magma_int_t
magma_dlahr2_m(
magma_int_t n, magma_int_t k, magma_int_t nb,
double *A, magma_int_t lda,
double *tau,
double *T, magma_int_t ldt,
double *Y, magma_int_t ldy,
struct dgehrd_data* data )
{
#define A( i, j ) ( A + (i) + (j)*lda)
#define Y( i, j ) ( Y + (i) + (j)*ldy)
#define T( i, j ) ( T + (i) + (j)*ldt)
#define dA( d, i, j ) (data->A [d] + (i) + (j)*ldda)
#define dTi( d ) (data->Ti[d])
#define dV( d, i, j ) (data->V [d] + (i) + (j)*ldv )
#define dVd( d, i, j ) (data->Vd[d] + (i) + (j)*ldvd)
#define dY( d, i, j ) (data->Y [d] + (i) + (j)*ldda)
double c_zero = MAGMA_D_ZERO;
double c_one = MAGMA_D_ONE;
double c_neg_one = MAGMA_D_NEG_ONE;
double tmp;
magma_int_t ngpu = data->ngpu;
magma_int_t ldda = data->ldda;
magma_int_t ldv = data->ldv;
magma_int_t ldvd = data->ldvd;
magma_int_t ione = 1;
magma_int_t d, dki1, dn, nblocks, gblock, lblock, lgid;
magma_int_t n_k_i_1, n_k;
double scale;
magma_int_t i;
double ei = MAGMA_D_ZERO;
magma_int_t info_data = 0;
magma_int_t *info = &info_data;
if (n < 0) {
*info = -1;
} else if (k < 0 || k >= n) {
*info = -2;
} else if (nb < 1 || nb > n) {
*info = -3;
} else if (lda < max(1,n)) {
*info = -5;
} else if (ldt < nb) {
*info = -8;
} else if (ldy < max(1,n)) {
*info = -10;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
// adjust from 1-based indexing
k -= 1;
// Function Body
if (n <= 1)
return 0;
// zero out current top block of V on all GPUs
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
magmablasSetKernelStream( data->streams[d] );
magmablas_dlaset( MagmaFull, nb, nb, c_zero, c_zero, dV(d,k,0), ldv );
}
// set all Y=0
lapackf77_dlaset( "Full", &n, &nb, &c_zero, &c_zero, Y, &ldy );
for (i = 0; i < nb; ++i) {
n_k_i_1 = n - k - i - 1;
n_k = n - k;
if (i > 0) {
// Finish applying I - V * T * V' on right
tmp = MAGMA_D_NEGATE( tau[i-1] );
blasf77_daxpy( &n_k, &tmp, Y(k,i-1), &ione, A(k,i), &ione );
// Apply I - V * T' * V' to this column (call it b) from the
// left, using the last column of T as workspace, w.
//
// Let V = ( V1 ) and b = ( b1 ) (first i-1 rows)
// ( V2 ) ( b2 )
// where V1 is unit lower triangular
// w := b1 = A(k+1:k+i, i)
blasf77_dcopy( &i,
A(k+1,i), &ione,
T(0,nb-1), &ione );
// w := V1' * b1 = VA(k+1:k+i, 0:i-1)' * w
blasf77_dtrmv( "Lower", "Conj", "Unit", &i,
A(k+1,0), &lda,
T(0,nb-1), &ione );
// w := w + V2'*b2 = w + VA(k+i+1:n-1, 0:i-1)' * A(k+i+1:n-1, i)
blasf77_dgemv( "Conj", &n_k_i_1, &i,
&c_one, A(k+i+1,0), &lda,
A(k+i+1,i), &ione,
&c_one, T(0,nb-1), &ione );
// w := T'*w = T(0:i-1, 0:i-1)' * w
blasf77_dtrmv( "Upper", "Conj", "Non-unit", &i,
T(0,0), &ldt,
T(0,nb-1), &ione );
// b2 := b2 - V2*w = A(k+i+1:n-1, i) - VA(k+i+1:n-1, 0:i-1) * w
blasf77_dgemv( "No trans", &n_k_i_1, &i,
&c_neg_one, A(k+i+1,0), &lda,
T(0,nb-1), &ione,
&c_one, A(k+i+1,i), &ione );
// w := V1*w = VA(k+1:k+i, 0:i-1) * w
blasf77_dtrmv( "Lower", "No trans", "Unit", &i,
A(k+1,0), &lda,
T(0,nb-1), &ione );
// b1 := b1 - w = A(k+1:k+i-1, i) - w
blasf77_daxpy( &i,
&c_neg_one, T(0,nb-1), &ione,
A(k+1,i), &ione );
// Restore diagonal element, saved below during previous iteration
*A(k+i,i-1) = ei;
}
// Generate the elementary reflector H(i) to annihilate A(k+i+1:n-1,i)
lapackf77_dlarfg( &n_k_i_1,
A(k+i+1,i),
A(k+i+2,i), &ione, &tau[i] );
// Save diagonal element and set to one, to simplify multiplying by V
ei = *A(k+i+1,i);
*A(k+i+1,i) = c_one;
// compute yi = A vi = sum_g A{d} vi{d}
nblocks = (n-1) / nb / ngpu + 1;
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
magmablasSetKernelStream( data->streams[d] );
// dV(k+i+1:n-1, i) = VA(k+i:n, i)
magma_dsetvector_async( n_k_i_1,
A(k+i+1,i), 1,
dV(d, k+i+1, i), 1, data->streams[d] );
// copy column of dV -> dVd, using block cyclic distribution.
// This assumes V and Vd have been padded so that
// a 2D matrix copy doesn't access them out-of-bounds
gblock = k / nb;
lblock = gblock / ngpu;
lgid = gblock % ngpu;
if ( d < lgid ) {
lblock += 1;
}
// treat V as (nb*ngpu) x nblock matrix, and Vd as nb x nblock matrix
magmablas_dlacpy( MagmaFull, nb, nblocks-lblock,
dV (d, d*nb + lblock*nb*ngpu, i), nb*ngpu,
dVd(d, 0 + lblock*nb, i), nb );
// convert global indices (k) to local indices (dk)
magma_indices_1D_bcyclic( nb, ngpu, d, k+i+1, n, &dki1, &dn );
// dY(k:n, i) = dA(k:n, k+i+1:n) * dV(k+i+1:n, i)
// skip if matrix is empty
// each GPU copies to different temporary vector in Y,
// which are summed in separate loop below
if ( dn-dki1 > 0 ) {
magma_dgemv( MagmaNoTrans, n-k, dn-dki1,
c_one, dA (d, k, dki1), ldda,
dVd(d, dki1, i), 1,
c_zero, dY (d, k, i), 1 );
// copy vector to host, storing in column nb+d of Y
// as temporary space (Y has >= nb+ngpu columns)
magma_dgetvector_async( n-k,
dY(d, k, i), 1,
Y(k, nb+d), 1, data->streams[d] );
}
}
// while GPU is doing above Ag*v...
// Compute T(0:i,i) = [ -tau T V' vi ]
// [ tau ]
// T(0:i-1, i) = -tau VA(k+i+1:n-1, 0:i-1)' VA(k+i+1:n-1, i)
scale = MAGMA_D_NEGATE( tau[i] );
blasf77_dgemv( "Conj", &n_k_i_1, &i,
&scale, A(k+i+1,0), &lda,
A(k+i+1,i), &ione,
&c_zero, T(0,i), &ione );
// T(0:i-1, i) = T(0:i-1, 0:i-1) * T(0:i-1, i)
blasf77_dtrmv( "Upper", "No trans", "Non-unit", &i,
T(0,0), &ldt,
T(0,i), &ione );
*T(i,i) = tau[i];
// apply reflectors to next column, A(i+1), on right only.
// one axpy will be required to finish this, in the next iteration above
if ( i > 0 && i+1 < nb ) {
// Update next column, A(k:n,i+1), applying Q on right.
// One axpy will be required to finish this, in the next iteration
// above, after yi is computed.
// This updates one more row than LAPACK does (row k),
// making block above panel an even multiple of nb.
// Use last column of T as workspace, w.
magma_int_t i1 = i+1;
// If real, conjugate row of V, and undo afterwards
#if defined(PRECISION_z) || defined(PRECISION_c)
lapackf77_dlacgv( &i1, A(k+i1,0), &lda );
#endif
// w = T(0:i, 0:i+1) * VA(k+i+1, 0:i+1)'
// T is now rectangular, so we use gemv instead of trmv as in lapack.
blasf77_dgemv( "No trans", &i, &i1,
&c_one, T(0,0), &ldt,
A(k+i1,0), &lda,
&c_zero, T(0,nb-1), &ione );
#if defined(PRECISION_z) || defined(PRECISION_c)
lapackf77_dlacgv( &i1, A(k+i1,0), &lda );
#endif
// A(k:n, i+1) -= Y(k:n, 0:i) * w
blasf77_dgemv( "No trans", &n_k, &i,
&c_neg_one, Y(k,0), &ldy,
T(0,nb-1), &ione,
&c_one, A(k,i1), &ione );
}
// yi = sum_g yi{d}
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
magma_queue_sync( data->streams[d] );
magma_indices_1D_bcyclic( nb, ngpu, d, k+i+1, n, &dki1, &dn );
if ( dn-dki1 > 0 ) {
// yi = yi + yi{d}
blasf77_daxpy( &n_k, &c_one, Y(k,nb+d), &ione, Y(k,i), &ione );
}
}
}
// Restore diagonal element
*A(k+nb,nb-1) = ei;
// compute Y = Am V = sum_g Am{d} V{d} --- top part, Y(0:k-1,:)
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
magmablasSetKernelStream( data->streams[d] );
// convert global indices (k) to local indices (dk)
magma_indices_1D_bcyclic( nb, ngpu, d, k+1, n, &dki1, &dn );
// dY(0:k, :) = dA(0:k, k+i+1:n-1) * dV(k+i+1:n-1, :)
// skip if matrix is empty
// each GPU copies to different temporary block in Y,
// which are summed in separate loop below
if ( dn-dki1 > 0 ) {
magma_dgemm( MagmaNoTrans, MagmaNoTrans, k, nb, dn-dki1,
c_one, dA (d, 0, dki1), ldda,
dVd(d, dki1, 0), ldvd,
c_zero, dY (d, 0, 0), ldda );
// copy result to host, storing in columns [nb + nb*d : nb + nb*(d+1)] of Y
// as temporary space (Y has nb + nb*ngpu columns)
magma_dgetmatrix_async( k, nb,
dY(d, 0, 0), ldda,
Y(0,nb+nb*d), ldy, data->streams[d] );
}
}
// Y = sum_g Y{d}
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
magma_queue_sync( 0 );
magma_indices_1D_bcyclic( nb, ngpu, d, k+1, n, &dki1, &dn );
if ( dn-dki1 > 0 ) {
// Y = Y + Am V
for( i = 0; i < nb; ++i ) {
blasf77_daxpy( &k, &c_one, Y(0,nb+nb*d+i), &ione, Y(0,i), &ione );
}
}
}
// copy Y and T matrices to GPUs
for( d = 0; d < ngpu; ++d ) {
magma_setdevice( d );
magma_dsetmatrix_async( n, nb, Y, ldy, dY(d, 0, 0), ldda, data->streams[d] );
magma_dsetmatrix_async( nb, nb, T, nb, dTi(d), nb, data->streams[d] );
}
return 0;
} /* magma_dlahr2 */
extern "C" magma_err_t
magma_dgeqrf_gpu( magma_int_t m, magma_int_t n,
magmaDouble_ptr dA, size_t dA_offset, magma_int_t ldda,
double *tau, magmaDouble_ptr dT, size_t dT_offset,
magma_int_t *info, magma_queue_t queue)
{
/* -- clMAGMA (version 1.1.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2014
Purpose
=======
DGEQRF computes a QR factorization of a DOUBLE_PRECISION M-by-N matrix A:
A = Q * R. This version stores the triangular matrices used in
the factorization so that they can be applied directly (i.e.,
without being recomputed) later. As a result, the application
of Q is much faster.
Arguments
=========
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
A (input/output) DOUBLE_PRECISION array on the GPU, dimension (LDDA,N)
On entry, the M-by-N matrix A.
On exit, the elements on and above the diagonal of the array
contain the min(M,N)-by-N upper trapezoidal matrix R (R is
upper triangular if m >= n); the elements below the diagonal,
with the array TAU, represent the orthogonal matrix Q as a
product of min(m,n) elementary reflectors (see Further
Details).
LDDA (input) INTEGER
The leading dimension of the array A. LDDA >= max(1,M).
To benefit from coalescent memory accesses LDDA must be
dividable by 16.
TAU (output) DOUBLE_PRECISION array, dimension (min(M,N))
The scalar factors of the elementary reflectors (see Further
Details).
dT (workspace/output) DOUBLE_PRECISION array on the GPU,
dimension (2*MIN(M, N) + (N+31)/32*32 )*NB,
where NB can be obtained through magma_get_dgeqrf_nb(M).
It starts with MIN(M,N)*NB block that store the triangular T
matrices, followed by the MIN(M,N)*NB block of the diagonal
inverses for the R matrix. The rest of the array is used as workspace.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
or another error occured, such as memory allocation failed.
Further Details
===============
The matrix Q is represented as a product of elementary reflectors
Q = H(1) H(2) . . . H(k), where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i),
and tau in TAU(i).
===================================================================== */
#define a_ref(a_1,a_2) dA, (dA_offset + (a_1) + (a_2)*(ldda))
#define t_ref(a_1) dT, (dT_offset + (a_1)*nb)
#define d_ref(a_1) dT, (dT_offset + (minmn + (a_1))*nb)
#define dd_ref(a_1) dT, (dT_offset + (2*minmn+(a_1))*nb)
#define work_ref(a_1) ( work + (a_1))
#define hwork ( work + (nb)*(m))
magma_int_t i, k, minmn, old_i, old_ib, rows, cols;
magma_int_t ib, nb;
magma_int_t ldwork, lddwork, lwork, lhwork;
double *work, *ut;
/* check arguments */
*info = 0;
if (m < 0) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (ldda < max(1,m)) {
*info = -4;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
k = minmn = min(m,n);
if (k == 0)
return *info;
nb = magma_get_dgeqrf_nb(m);
lwork = (m + n + nb)*nb;
lhwork = lwork - m*nb;
if (MAGMA_SUCCESS != magma_dmalloc_cpu( &work, lwork )) {
*info = MAGMA_ERR_HOST_ALLOC;
return *info;
}
ut = hwork+nb*(n);
memset( ut, 0, nb*nb*sizeof(double));
magma_event_t event[2] = {NULL, NULL};
ldwork = m;
lddwork= n;
if ( (nb > 1) && (nb < k) ) {
/* Use blocked code initially */
old_i = 0; old_ib = nb;
for (i = 0; i < k-nb; i += nb) {
ib = min(k-i, nb);
rows = m -i;
magma_dgetmatrix_async( rows, ib,
a_ref(i,i), ldda,
work_ref(i), 0, ldwork, queue, &event[1] );
if (i>0){
/* Apply H' to A(i:m,i+2*ib:n) from the left */
cols = n-old_i-2*old_ib;
magma_dlarfb_gpu( MagmaLeft, MagmaTrans, MagmaForward, MagmaColumnwise,
m-old_i, cols, old_ib,
a_ref(old_i, old_i ), ldda, t_ref(old_i), nb,
a_ref(old_i, old_i+2*old_ib), ldda, dd_ref(0), lddwork, queue);
/* store the diagonal */
magma_dsetmatrix_async( old_ib, old_ib,
ut, 0, old_ib,
d_ref(old_i), old_ib, queue, &event[0] );
}
magma_event_sync(event[1]);
lapackf77_dgeqrf(&rows, &ib, work_ref(i), &ldwork, tau+i, hwork, &lhwork, info);
/* Form the triangular factor of the block reflector
H = H(i) H(i+1) . . . H(i+ib-1) */
lapackf77_dlarft( MagmaForwardStr, MagmaColumnwiseStr,
&rows, &ib,
work_ref(i), &ldwork, tau+i, hwork, &ib);
/* Put 0s in the upper triangular part of a panel (and 1s on the
diagonal); copy the upper triangular in ut and invert it */
magma_event_sync(event[0]);
dsplit_diag_block(ib, work_ref(i), ldwork, ut);
magma_dsetmatrix( rows, ib, work_ref(i), 0, ldwork, a_ref(i,i), ldda, queue);
if (i + ib < n) {
/* Send the triangular factor T to the GPU */
magma_dsetmatrix( ib, ib, hwork, 0, ib, t_ref(i), nb, queue );
if (i+nb < k-nb){
/* Apply H' to A(i:m,i+ib:i+2*ib) from the left */
magma_dlarfb_gpu( MagmaLeft, MagmaTrans, MagmaForward, MagmaColumnwise,
rows, ib, ib,
a_ref(i, i ), ldda, t_ref(i), nb,
a_ref(i, i+ib), ldda, dd_ref(0), lddwork, queue);
}
else {
cols = n-i-ib;
magma_dlarfb_gpu( MagmaLeft, MagmaTrans, MagmaForward, MagmaColumnwise,
rows, cols, ib,
a_ref(i, i ), ldda, t_ref(i), nb,
a_ref(i, i+ib), ldda, dd_ref(0), lddwork, queue);
/* Fix the diagonal block */
magma_dsetmatrix( ib, ib, ut, 0, ib, d_ref(i), ib , queue);
}
old_i = i;
old_ib = ib;
}
}
} else {
i = 0;
}
/* Use unblocked code to factor the last or only block. */
if (i < k) {
ib = n-i;
rows = m-i;
magma_dgetmatrix( rows, ib, a_ref(i, i), ldda, work, 0, rows, queue );
lhwork = lwork - rows*ib;
lapackf77_dgeqrf(&rows, &ib, work, &rows, tau+i, work+ib*rows, &lhwork, info);
magma_dsetmatrix( rows, ib, work, 0, rows, a_ref(i, i), ldda, queue );
}
magma_free_cpu( work );
return *info;
} /* magma_dgeqrf */
/**
Purpose
-------
DGEQRF computes a QR factorization of a real M-by-N matrix A:
A = Q * R.
This version has LAPACK-complaint arguments.
If the current stream is NULL, this version replaces it with a new
stream to overlap computation with communication.
Other versions (magma_dgeqrf_gpu and magma_dgeqrf3_gpu) store the
intermediate T matrices.
Arguments
---------
@param[in]
m INTEGER
The number of rows of the matrix A. M >= 0.
@param[in]
n INTEGER
The number of columns of the matrix A. N >= 0.
@param[in,out]
dA DOUBLE_PRECISION array on the GPU, dimension (LDDA,N)
On entry, the M-by-N matrix A.
On exit, the elements on and above the diagonal of the array
contain the min(M,N)-by-N upper trapezoidal matrix R (R is
upper triangular if m >= n); the elements below the diagonal,
with the array TAU, represent the orthogonal matrix Q as a
product of min(m,n) elementary reflectors (see Further
Details).
@param[in]
ldda INTEGER
The leading dimension of the array dA. LDDA >= max(1,M).
To benefit from coalescent memory accesses LDDA must be
divisible by 16.
@param[out]
tau DOUBLE_PRECISION array, dimension (min(M,N))
The scalar factors of the elementary reflectors (see Further
Details).
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
or another error occured, such as memory allocation failed.
Further Details
---------------
The matrix Q is represented as a product of elementary reflectors
Q = H(1) H(2) . . . H(k), where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i),
and tau in TAU(i).
@ingroup magma_dgeqrf_comp
********************************************************************/
extern "C" magma_int_t
magma_dgeqrf2_gpu( magma_int_t m, magma_int_t n,
double *dA, magma_int_t ldda,
double *tau,
magma_int_t *info )
{
#define dA(a_1,a_2) ( dA+(a_2)*(ldda) + (a_1))
#define work_ref(a_1) ( work + (a_1))
#define hwork ( work + (nb)*(m))
double *dwork;
double *work;
magma_int_t i, k, ldwork, lddwork, old_i, old_ib, rows;
magma_int_t nbmin, nx, ib, nb;
magma_int_t lhwork, lwork;
/* Function Body */
*info = 0;
if (m < 0) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (ldda < max(1,m)) {
*info = -4;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
k = min(m,n);
if (k == 0)
return *info;
nb = magma_get_dgeqrf_nb(m);
lwork = (m+n) * nb;
lhwork = lwork - (m)*nb;
if (MAGMA_SUCCESS != magma_dmalloc( &dwork, n*nb )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
if (MAGMA_SUCCESS != magma_dmalloc_pinned( &work, lwork )) {
magma_free( dwork );
*info = MAGMA_ERR_HOST_ALLOC;
return *info;
}
/* Define user stream if current stream is NULL */
magma_queue_t stream[2];
magma_queue_t orig_stream;
magmablasGetKernelStream( &orig_stream );
magma_queue_create( &stream[0] );
if (orig_stream == NULL) {
magma_queue_create( &stream[1] );
magmablasSetKernelStream(stream[1]);
}
else {
stream[1] = orig_stream;
}
nbmin = 2;
nx = nb;
ldwork = m;
lddwork= n;
if (nb >= nbmin && nb < k && nx < k) {
/* Use blocked code initially */
old_i = 0; old_ib = nb;
for (i = 0; i < k-nx; i += nb) {
ib = min(k-i, nb);
rows = m -i;
/* download i-th panel */
magma_queue_sync( stream[1] );
magma_dgetmatrix_async( rows, ib,
dA(i,i), ldda,
work_ref(i), ldwork, stream[0] );
if (i > 0) {
/* Apply H' to A(i:m,i+2*ib:n) from the left */
magma_dlarfb_gpu( MagmaLeft, MagmaConjTrans, MagmaForward, MagmaColumnwise,
m-old_i, n-old_i-2*old_ib, old_ib,
dA(old_i, old_i ), ldda, dwork, lddwork,
dA(old_i, old_i+2*old_ib), ldda, dwork+old_ib, lddwork);
magma_dsetmatrix_async( old_ib, old_ib,
work_ref(old_i), ldwork,
dA(old_i, old_i), ldda, stream[1] );
}
magma_queue_sync( stream[0] );
lapackf77_dgeqrf(&rows, &ib, work_ref(i), &ldwork, tau+i, hwork, &lhwork, info);
/* Form the triangular factor of the block reflector
H = H(i) H(i+1) . . . H(i+ib-1) */
lapackf77_dlarft( MagmaForwardStr, MagmaColumnwiseStr,
&rows, &ib,
work_ref(i), &ldwork, tau+i, hwork, &ib);
dpanel_to_q( MagmaUpper, ib, work_ref(i), ldwork, hwork+ib*ib );
/* download the i-th V matrix */
magma_dsetmatrix_async( rows, ib, work_ref(i), ldwork, dA(i,i), ldda, stream[0] );
/* download the T matrix */
magma_queue_sync( stream[1] );
magma_dsetmatrix_async( ib, ib, hwork, ib, dwork, lddwork, stream[0] );
magma_queue_sync( stream[0] );
if (i + ib < n) {
if (i+nb < k-nx) {
/* Apply H' to A(i:m,i+ib:i+2*ib) from the left */
magma_dlarfb_gpu( MagmaLeft, MagmaConjTrans, MagmaForward, MagmaColumnwise,
rows, ib, ib,
dA(i, i ), ldda, dwork, lddwork,
dA(i, i+ib), ldda, dwork+ib, lddwork);
dq_to_panel( MagmaUpper, ib, work_ref(i), ldwork, hwork+ib*ib );
}
else {
magma_dlarfb_gpu( MagmaLeft, MagmaConjTrans, MagmaForward, MagmaColumnwise,
rows, n-i-ib, ib,
dA(i, i ), ldda, dwork, lddwork,
dA(i, i+ib), ldda, dwork+ib, lddwork);
dq_to_panel( MagmaUpper, ib, work_ref(i), ldwork, hwork+ib*ib );
magma_dsetmatrix_async( ib, ib,
work_ref(i), ldwork,
dA(i,i), ldda, stream[1] );
}
old_i = i;
old_ib = ib;
}
}
} else {
i = 0;
}
magma_free( dwork );
/* Use unblocked code to factor the last or only block. */
if (i < k) {
ib = n-i;
rows = m-i;
magma_dgetmatrix_async( rows, ib, dA(i, i), ldda, work, rows, stream[1] );
magma_queue_sync( stream[1] );
lhwork = lwork - rows*ib;
lapackf77_dgeqrf(&rows, &ib, work, &rows, tau+i, work+ib*rows, &lhwork, info);
magma_dsetmatrix_async( rows, ib, work, rows, dA(i, i), ldda, stream[1] );
}
magma_free_pinned( work );
magma_queue_destroy( stream[0] );
if (orig_stream == NULL) {
magma_queue_destroy( stream[1] );
}
magmablasSetKernelStream( orig_stream );
return *info;
} /* magma_dgeqrf2_gpu */
/**
Purpose
-------
DSYGST reduces a real symmetric-definite generalized
eigenproblem to standard form.
If ITYPE = 1, the problem is A*x = lambda*B*x,
and A is overwritten by inv(U^H)*A*inv(U) or inv(L)*A*inv(L^H)
If ITYPE = 2 or 3, the problem is A*B*x = lambda*x or
B*A*x = lambda*x, and A is overwritten by U*A*U^H or L^H*A*L.
B must have been previously factorized as U^H*U or L*L^H by DPOTRF.
Arguments
---------
@param[in]
itype INTEGER
= 1: compute inv(U^H)*A*inv(U) or inv(L)*A*inv(L^H);
= 2 or 3: compute U*A*U^H or L^H*A*L.
@param[in]
uplo magma_uplo_t
- = MagmaUpper: Upper triangle of A is stored and B is factored as U^H*U;
- = MagmaLower: Lower triangle of A is stored and B is factored as L*L^H.
@param[in]
n INTEGER
The order of the matrices A and B. N >= 0.
@param[in,out]
A DOUBLE PRECISION array, dimension (LDA,N)
On entry, the symmetric matrix A. If UPLO = MagmaUpper, the leading
N-by-N upper triangular part of A contains the upper
triangular part of the matrix A, and the strictly lower
triangular part of A is not referenced. If UPLO = MagmaLower, the
leading N-by-N lower triangular part of A contains the lower
triangular part of the matrix A, and the strictly upper
triangular part of A is not referenced.
\n
On exit, if INFO = 0, the transformed matrix, stored in the
same format as A.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,N).
@param[in,out]
B DOUBLE PRECISION array, dimension (LDB,N)
The triangular factor from the Cholesky factorization of B,
as returned by DPOTRF.
B is modified by the routine but restored on exit (in lapack dsygst/dsygs2).
@param[in]
ldb INTEGER
The leading dimension of the array B. LDB >= max(1,N).
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
@ingroup magma_dsyev_comp
********************************************************************/
extern "C" magma_int_t
magma_dsygst(
magma_int_t itype, magma_uplo_t uplo, magma_int_t n,
double *A, magma_int_t lda,
double *B, magma_int_t ldb,
magma_int_t *info)
{
#define A(i_, j_) (A + (i_) + (j_)*lda)
#define B(i_, j_) (B + (i_) + (j_)*ldb)
#define dA(i_, j_) (dwork + (i_) + (j_)*ldda )
#define dB(i_, j_) (dwork + (i_) + (j_)*lddb + n*ldda)
/* Constants */
const double c_one = MAGMA_D_ONE;
const double c_neg_one = MAGMA_D_NEG_ONE;
const double c_half = MAGMA_D_HALF;
const double c_neg_half = MAGMA_D_NEG_HALF;
const double d_one = 1.0;
/* Local variables */
const char* uplo_ = lapack_uplo_const( uplo );
magma_int_t k, kb, kb2, nb;
magma_int_t ldda = n;
magma_int_t lddb = n;
magmaDouble_ptr dwork;
bool upper = (uplo == MagmaUpper);
/* Test the input parameters. */
*info = 0;
if (itype < 1 || itype > 3) {
*info = -1;
} else if (! upper && uplo != MagmaLower) {
*info = -2;
} else if (n < 0) {
*info = -3;
} else if (lda < max(1,n)) {
*info = -5;
} else if (ldb < max(1,n)) {
*info = -7;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
/* Quick return */
if ( n == 0 )
return *info;
if (MAGMA_SUCCESS != magma_dmalloc( &dwork, 2*n*n )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
nb = magma_get_dsygst_nb( n );
magma_queue_t queues[2];
magma_device_t cdev;
magma_getdevice( &cdev );
magma_queue_create( cdev, &queues[0] );
magma_queue_create( cdev, &queues[1] );
magma_dsetmatrix( n, n, A(0, 0), lda, dA(0, 0), ldda, queues[1] );
magma_dsetmatrix( n, n, B(0, 0), ldb, dB(0, 0), lddb, queues[1] );
/* Use hybrid blocked code */
if (itype == 1) {
if (upper) {
/* Compute inv(U^H)*A*inv(U) */
for (k = 0; k < n; k += nb) {
kb = min( n-k, nb );
kb2 = min( n-k-nb, nb );
/* Update the upper triangle of A(k:n,k:n) */
lapackf77_dsygst( &itype, uplo_, &kb, A(k,k), &lda, B(k,k), &ldb, info );
magma_dsetmatrix_async( kb, kb,
A(k, k), lda,
dA(k, k), ldda, queues[0] );
if (k+kb < n) {
magma_dtrsm( MagmaLeft, MagmaUpper, MagmaConjTrans, MagmaNonUnit,
kb, n-k-kb,
c_one, dB(k,k), lddb,
dA(k,k+kb), ldda, queues[1] );
magma_queue_sync( queues[0] ); // finish set dA(k,k)
magma_dsymm( MagmaLeft, MagmaUpper,
kb, n-k-kb,
c_neg_half, dA(k,k), ldda,
dB(k,k+kb), lddb,
c_one, dA(k,k+kb), ldda, queues[1] );
magma_dsyr2k( MagmaUpper, MagmaConjTrans,
n-k-kb, kb,
c_neg_one, dA(k,k+kb), ldda,
dB(k,k+kb), lddb,
d_one, dA(k+kb,k+kb), ldda, queues[1] );
// Start copying next A block
magma_queue_sync( queues[1] );
magma_dgetmatrix_async( kb2, kb2,
dA(k+kb, k+kb), ldda,
A(k+kb, k+kb), lda, queues[0] );
magma_dsymm( MagmaLeft, MagmaUpper,
kb, n-k-kb,
c_neg_half, dA(k,k), ldda,
dB(k,k+kb), lddb,
c_one, dA(k,k+kb), ldda, queues[1] );
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaNonUnit,
kb, n-k-kb,
c_one, dB(k+kb,k+kb), lddb,
dA(k,k+kb), ldda, queues[1] );
magma_queue_sync( queues[0] ); // finish get A(k+kb,k+kb)
}
}
}
else {
/* Compute inv(L)*A*inv(L^H) */
for (k = 0; k < n; k += nb) {
kb = min( n-k, nb );
kb2 = min( n-k-nb, nb );
/* Update the lower triangle of A(k:n,k:n) */
lapackf77_dsygst( &itype, uplo_, &kb, A(k,k), &lda, B(k,k), &ldb, info );
magma_dsetmatrix_async( kb, kb,
A(k, k), lda,
dA(k, k), ldda, queues[0] );
if (k+kb < n) {
magma_dtrsm( MagmaRight, MagmaLower, MagmaConjTrans, MagmaNonUnit,
n-k-kb, kb,
c_one, dB(k,k), lddb,
dA(k+kb,k), ldda, queues[1] );
magma_queue_sync( queues[0] ); // finish set dA(k,k)
magma_dsymm( MagmaRight, MagmaLower,
n-k-kb, kb,
c_neg_half, dA(k,k), ldda,
dB(k+kb,k), lddb,
c_one, dA(k+kb, k), ldda, queues[1] );
magma_dsyr2k( MagmaLower, MagmaNoTrans,
n-k-kb, kb,
c_neg_one, dA(k+kb,k), ldda,
dB(k+kb,k), lddb,
d_one, dA(k+kb,k+kb), ldda, queues[1] );
// Start copying next A block
magma_queue_sync( queues[1] );
magma_dgetmatrix_async( kb2, kb2,
dA(k+kb, k+kb), ldda,
A(k+kb, k+kb), lda, queues[0] );
magma_dsymm( MagmaRight, MagmaLower,
n-k-kb, kb,
c_neg_half, dA(k,k), ldda,
dB(k+kb,k), lddb,
c_one, dA(k+kb, k), ldda, queues[1] );
magma_dtrsm( MagmaLeft, MagmaLower, MagmaNoTrans, MagmaNonUnit,
n-k-kb, kb,
c_one, dB(k+kb,k+kb), lddb,
dA(k+kb,k), ldda, queues[1] );
magma_queue_sync( queues[0] ); // finish get A(k+kb,k+kb)
}
}
}
}
else { // itype == 2 or 3
if (upper) {
/* Compute U*A*U^H */
for (k = 0; k < n; k += nb) {
kb = min( n-k, nb );
magma_dgetmatrix_async( kb, kb,
dA(k, k), ldda,
A(k, k), lda, queues[0] );
/* Update the upper triangle of A(1:k+kb-1,1:k+kb-1) */
if (k > 0) {
magma_dtrmm( MagmaLeft, MagmaUpper, MagmaNoTrans, MagmaNonUnit,
k, kb,
c_one, dB(0,0), lddb,
dA(0,k), ldda, queues[1] );
magma_dsymm( MagmaRight, MagmaUpper,
k, kb,
c_half, dA(k,k), ldda,
dB(0,k), lddb,
c_one, dA(0,k), ldda, queues[1] );
magma_dsyr2k( MagmaUpper, MagmaNoTrans,
k, kb,
c_one, dA(0,k), ldda,
dB(0,k), lddb,
d_one, dA(0,0), ldda, queues[1] );
magma_dsymm( MagmaRight, MagmaUpper,
k, kb,
c_half, dA(k,k), ldda,
dB(0,k), lddb,
c_one, dA(0,k), ldda, queues[1] );
magma_dtrmm( MagmaRight, MagmaUpper, MagmaConjTrans, MagmaNonUnit,
k, kb,
c_one, dB(k,k), lddb,
dA(0,k), ldda, queues[1] );
}
magma_queue_sync( queues[0] ); // finish get A(k,k)
lapackf77_dsygst( &itype, uplo_, &kb, A(k, k), &lda, B(k, k), &ldb, info );
// this could be done on a 3rd queue
magma_dsetmatrix_async( kb, kb,
A(k, k), lda,
dA(k, k), ldda, queues[1] );
}
}
else {
/* Compute L^H*A*L */
for (k = 0; k < n; k += nb) {
kb = min( n-k, nb );
magma_dgetmatrix_async( kb, kb,
dA(k, k), ldda,
A(k, k), lda, queues[0] );
/* Update the lower triangle of A(1:k+kb-1,1:k+kb-1) */
if (k > 0) {
magma_dtrmm( MagmaRight, MagmaLower, MagmaNoTrans, MagmaNonUnit,
kb, k,
c_one, dB(0,0), lddb,
dA(k,0), ldda, queues[1] );
magma_dsymm( MagmaLeft, MagmaLower,
kb, k,
c_half, dA(k,k), ldda,
dB(k,0), lddb,
c_one, dA(k, 0), ldda, queues[1] );
magma_dsyr2k( MagmaLower, MagmaConjTrans,
k, kb,
c_one, dA(k,0), ldda,
dB(k,0), lddb,
d_one, dA(0,0), ldda, queues[1] );
magma_dsymm( MagmaLeft, MagmaLower,
kb, k,
c_half, dA(k,k), ldda,
dB(k,0), lddb,
c_one, dA(k, 0), ldda, queues[1] );
magma_dtrmm( MagmaLeft, MagmaLower, MagmaConjTrans, MagmaNonUnit,
kb, k,
c_one, dB(k,k), lddb,
dA(k,0), ldda, queues[1] );
}
magma_queue_sync( queues[0] ); // finish get A(k,k)
lapackf77_dsygst( &itype, uplo_, &kb, A(k,k), &lda, B(k,k), &ldb, info );
// this could be done on a 3rd queue
magma_dsetmatrix_async( kb, kb,
A(k, k), lda,
dA(k, k), ldda, queues[1] );
}
}
}
magma_queue_sync( queues[0] ); // finish set dA(k,k) for itype 1
magma_dgetmatrix( n, n, dA(0, 0), ldda, A(0, 0), lda, queues[1] );
magma_queue_destroy( queues[0] );
magma_queue_destroy( queues[1] );
magma_free( dwork );
return *info;
} /* magma_dsygst_gpu */
extern "C" magma_int_t
magma_dpotrf2_mgpu(
magma_int_t num_gpus, magma_uplo_t uplo, magma_int_t m, magma_int_t n,
magma_int_t off_i, magma_int_t off_j, magma_int_t nb,
magmaDouble_ptr *d_lA, size_t d_lA_offset, magma_int_t ldda,
magmaDouble_ptr *d_lP, magma_int_t lddp,
double *a, magma_int_t lda, magma_int_t h,
magma_queue_t *queues,
magma_int_t *info )
{
/* -- clMAGMA (version 1.3.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2014
Purpose
=======
DPOTRF computes the Cholesky factorization of a real symmetric
positive definite matrix dA.
The factorization has the form
dA = U**H * U, if UPLO = 'U', or
dA = L * L**H, if UPLO = 'L',
where U is an upper triangular matrix and L is lower triangular.
This is the block version of the algorithm, calling Level 3 BLAS.
Arguments
=========
UPLO (input) CHARACTER*1
= 'U': Upper triangle of dA is stored;
= 'L': Lower triangle of dA is stored.
N (input) INTEGER
The order of the matrix dA. N >= 0.
dA (input/output) DOUBLE_PRECISION array on the GPU, dimension (LDDA,N)
On entry, the symmetric matrix dA. If UPLO = 'U', the leading
N-by-N upper triangular part of dA contains the upper
triangular part of the matrix dA, and the strictly lower
triangular part of dA is not referenced. If UPLO = 'L', the
leading N-by-N lower triangular part of dA contains the lower
triangular part of the matrix dA, and the strictly upper
triangular part of dA is not referenced.
On exit, if INFO = 0, the factor U or L from the Cholesky
factorization dA = U**H * U or dA = L * L**H.
LDDA (input) INTEGER
The leading dimension of the array dA. LDDA >= max(1,N).
To benefit from coalescent memory accesses LDDA must be
divisible by 16.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, the leading minor of order i is not
positive definite, and the factorization could not be
completed.
===================================================================== */
magma_int_t j, jb, nb0, nb2, dd, d, id, j_local, j_local2, buf;
double c_one = MAGMA_D_ONE;
double c_neg_one = MAGMA_D_NEG_ONE;
double d_one = 1.0;
double d_neg_one = -1.0;
magmaDouble_ptr dlpanel;
size_t dlpanel_offset;
magma_int_t n_local[MagmaMaxGPUs], ldpanel;
magma_event_t events[MagmaMaxGPUs];
*info = 0;
if ( (uplo != MagmaUpper) && (uplo != MagmaLower) ) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if ((uplo != MagmaUpper) && num_gpus*ldda < max(1,n)) {
*info = -4;
} else if ((uplo == MagmaUpper) && ldda < max(1,m)) {
*info = -4;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
{
for( d=0; d<num_gpus; d++ ) {
/* local-n and local-ld */
if (uplo == MagmaUpper) {
n_local[d] = ((n/nb)/num_gpus)*nb;
if (d < (n/nb)%num_gpus)
n_local[d] += nb;
else if (d == (n/nb)%num_gpus)
n_local[d] += n%nb;
} else {
n_local[d] = ((m/nb)/num_gpus)*nb;
if (d < (m/nb)%num_gpus)
n_local[d] += nb;
else if (d == (m/nb)%num_gpus)
n_local[d] += m%nb;
}
}
/* Use blocked code. */
if (uplo == MagmaUpper)
{
/* ---------------------------------------------- */
/* Upper-triangular case */
/* > Compute the Cholesky factorization A = U'*U. */
/* ---------------------------------------------- */
for(j=0;j<m;j+=nb){
/* Set the GPU number that holds the current panel */
id = (j/nb)%num_gpus;
buf = (j/nb)%num_gpus;
/* Set the local index where the current panel is */
j_local = j/(nb*num_gpus);
jb = min(nb, (m-j));
if(j>0){
magma_queue_sync(queues[id*2]); // wait for the column on CPU
/* broadcast off-diagonal column to all gpus */
d = (j/nb+1)%num_gpus;
for(dd=0;dd<num_gpus;dd++){
if(d != id){
//magma_queue_sync(queues[2*d]);
magma_dsetmatrix_async( j, jb,
Aup(0,j), lda,
dlP(d,jb,0,buf), lddp,
queues[d*2], NULL );
}
d = (d+1)%num_gpus;
}
}
/* Update the current diagonal block */
if( j > 0 ) {
magma_dsyrk(MagmaUpper, MagmaConjTrans, jb, j,
d_neg_one, dlA(id, 0, nb*j_local), ldda,
d_one, dlA(id, j, nb*j_local), ldda,
queues[2*id+1]);
}
/* send the diagonal to cpu */
magma_queue_sync(queues[2*id+1]);// wait for syrk
magma_dgetmatrix_async( jb, jb,
dlA(id, j, nb*j_local), ldda,
Aup(j,j), lda,
queues[2*id], NULL);
if(j>0){
/* Compute the local block column of the panel. */
d = (j/nb+1)%num_gpus;
for(dd=0;dd<num_gpus;dd++){
j_local2 = j_local+1;
if(d>id) j_local2 --;
nb0 = nb*j_local2;
if(n_local[d]>nb0){
/* wait for the off-diagonal */
if(d!=id){
dlpanel = d_lP[d];
dlpanel_offset = dlP_offset(jb, 0, buf);
ldpanel = lddp;
/* wait for the offdiagonal column */
magma_queue_sync(queues[d*2]);
}else{
dlpanel = d_lA[d];
dlpanel_offset = dlA_offset(0, nb*j_local);
ldpanel = ldda;
}
/* update the panel */
magma_dgemm(MagmaConjTrans, MagmaNoTrans,
jb, n_local[d]-nb0, j,
c_neg_one, dlpanel, dlpanel_offset, ldpanel,
dlA(d, 0, nb0), ldda,
c_one, dlA(d, j, nb0), ldda,
queues[2*d+1]);
}
d = (d+1)%num_gpus;
}
}
/* factor the diagonal */
magma_queue_sync( queues[id*2] ); // wait for the diagonal
lapackf77_dpotrf(MagmaUpperStr, &jb, Aup(j,j), &lda, info);
if (*info != 0) {
*info = *info + j;
break;
}
/* send the diagonal to gpus */
if ( (j+jb) < n) {
d = (j/nb+1)%num_gpus;
for( dd=0; dd<num_gpus; dd++ ) {
if( d == id ) {
dlpanel = d_lA[d];
dlpanel_offset = dlA_offset(j, nb*j_local);
ldpanel = ldda;
} else {
dlpanel = d_lP[d];
dlpanel_offset = dlP_offset(0, 0, buf);
ldpanel = lddp;
}
magma_dsetmatrix_async( jb, jb,
Aup(j,j), lda,
dlpanel, dlpanel_offset, ldpanel,
queues[d*2], NULL);
d = (d+1)%num_gpus;
}
} else {
magma_dsetmatrix_async( jb, jb,
Aup(j,j), lda,
dlA(id, j, nb*j_local), ldda,
queues[id*2], NULL );
}
/* panel-factorize the off-diagonal */
if((j+jb)<n){
d = (j/nb+1)%num_gpus;
for(dd=0;dd<num_gpus;dd++){
/* next column */
j_local2 = j_local+1;
if(d>id) j_local2--;
if( d == id ) {
dlpanel = d_lA[d];
dlpanel_offset = dlA_offset(j, nb*j_local);
ldpanel = ldda;
} else {
dlpanel = d_lP[d];
dlpanel_offset = dlP_offset(0, 0, buf);
ldpanel = lddp;
}
nb2 = n_local[d]-nb*j_local2;
nb0 = min(nb, nb2 );
magma_queue_sync( queues[2*d]); // wait for the diagonal
if(j+jb < m && d == (j/nb+1)%num_gpus){
/* owns the next column, look-ahead the column */
magma_dtrsm( MagmaLeft, MagmaUpper, MagmaConjTrans, MagmaNonUnit,
jb, nb0, c_one,
dlpanel, dlpanel_offset, ldpanel,
dlA(d, j, nb*j_local2), ldda,
queues[2*d+1]);
/* send the column to cpu */
if(j+jb < m){
magma_queue_sync(queues[2*d+1]); // wait for lookahead
magma_dgetmatrix_async( (j+jb), nb0,
dlA(d, 0, nb*j_local2), ldda,
Aup(0,j+jb), lda,
queues[2*d], NULL);
}
/* update the remaining blocks */
nb2 = nb2 - nb0;
magma_dtrsm( MagmaLeft, MagmaUpper, MagmaConjTrans, MagmaNonUnit,
jb, nb2, c_one,
dlpanel, dlpanel_offset, ldpanel,
dlA(d, j, nb*j_local2+nb0), ldda,
queues[2*d+1]);
}else if(nb2 > 0){
/* update the entire trailing matrix */
magma_dtrsm( MagmaLeft, MagmaUpper, MagmaConjTrans, MagmaNonUnit,
jb, nb2, c_one,
dlpanel, dlpanel_offset, ldpanel,
dlA(d, j, nb*j_local2), ldda,
queues[d*2+1]);
}
d = (d+1)%num_gpus;
}
}
}
} else {
/* -------------------------------------------- */
/* Lower-triangular case */
/* Compute the Cholesky factorization A = L*L'. */
/* -------------------------------------------- */
for (j=0; j<n; j+=nb) {
/* Set the GPU number that holds the current panel */
id = (j/nb)%num_gpus;
buf = (j/nb)%num_gpus;
/* Set the local index where the current panel is */
j_local = j/(nb*num_gpus);
jb = min(nb, (n-j));
if( j > 0 ) {
/* needed on pluto... */
//magma_setdevice(id);
magma_queue_sync( queues[id*2] ); // wait for the column on CPU
/* broadcast offdiagonal row to all gpus */
d = (j/nb+1)%num_gpus;
for( dd=0; dd<num_gpus; dd++ ) {
if( d != id ) {
/* wait for it on CPU */
//magma_queue_sync( queues[d*2] );
/* send it to GPU */
magma_dsetmatrix_async( jb, j,
Alo(j,0), lda,
dlPT(d,0,jb,buf), nb,
queues[d*2], NULL );
clFlush(queues[d*2]);
}
d = (d+1)%num_gpus;
}
}
/* Update the current diagonal block */
if( j > 0 ) {
magma_dsyrk(MagmaLower, MagmaNoTrans, jb, j,
d_neg_one, dlA(id, nb*j_local, 0), ldda,
d_one, dlA(id, nb*j_local, j), ldda,
queues[id*2+1]);
magma_queue_sync( queues[id*2+1] ); // wait for syrk
}
/* update the offdiagonal blocks */
if ( j > 0 ) {
/* compute the block-rows of the panel */
d = (j/nb+1)%num_gpus;
for( dd=0; dd<num_gpus; dd++ ) {
j_local2 = j_local+1;
if( d > id ) j_local2 --;
nb0 = nb*j_local2;
if( nb0 < n_local[d] ) {
if( d != id ) {
//dlpanel = dlPT(d);
dlpanel = d_lP[d];
dlpanel_offset = dlPT_offset(0, jb, buf);
ldpanel = nb;
/* wait for offdiagonal row */
magma_queue_sync(queues[d*2]);
} else {
dlpanel = d_lA[d];
dlpanel_offset = dlA_offset(nb*j_local, 0);
ldpanel = ldda;
}
magma_dgemm( MagmaNoTrans, MagmaConjTrans,
n_local[d]-nb0, jb, j,
c_neg_one, dlA(d, nb0, 0), ldda,
dlpanel, dlpanel_offset, ldpanel,
c_one, dlA(d, nb0, j), ldda,
queues[d*2+1]);
}
d = (d+1)%num_gpus;
}
}
/* send the diagonal to cpu */
magma_dgetmatrix_async( jb, jb,
dlA(id, nb*j_local, j), ldda,
Alo(j,j), lda,
queues[id*2], &events[id] );
clFlush(queues[id*2]);
/* factor the diagonal */
magma_queue_sync( queues[id*2] );
lapackf77_dpotrf(MagmaLowerStr, &jb, Alo(j,j), &lda, info);
if (*info != 0) {
printf("row number: %d\n", (int) j);
*info = *info + j;
break;
}
/* send the diagonal to gpus */
if ( (j+jb) < m ) {
d = (j/nb+1)%num_gpus;
for( dd=0; dd<num_gpus; dd++ ) {
if( d == id ) {
dlpanel = d_lA[d];
dlpanel_offset = dlA_offset(nb*j_local, j);
ldpanel = ldda;
} else {
//dlpanel = dlPT(d);
dlpanel = d_lP[d];
dlpanel_offset = dlPT_offset(0, 0, buf);
ldpanel = nb;
}
magma_dsetmatrix_async( jb, jb,
Alo(j,j), lda,
dlpanel, dlpanel_offset, ldpanel,
queues[d*2], NULL );
clFlush(queues[d*2]);
d = (d+1)%num_gpus;
}
} else {
magma_dsetmatrix_async( jb, jb,
Alo(j,j), lda,
dlA(id, nb*j_local, j), ldda,
queues[id*2], NULL );
clFlush(queues[id*2]);
}
/* factorize off-diagonal blocks */
if ( (j+jb) < m ) {
d = (j/nb+1)%num_gpus;
for( dd=0; dd<num_gpus; dd++ ) {
/* next column */
j_local2 = j_local+1;
if( d > id ) j_local2--;
if( d == id ) {
dlpanel = d_lA[d];
dlpanel_offset = dlA_offset(nb*j_local, j);
ldpanel = ldda;
} else {
//dlpanel = dlPT(d);
dlpanel = d_lP[d];
dlpanel_offset = dlPT_offset(0, 0, buf);
ldpanel = nb;
}
nb2 = n_local[d] - j_local2*nb;
nb0 = min(nb, nb2 );
magma_queue_sync(queues[d*2]);
// wait for the diagonal
if( j+jb < n && d == (j/nb+1)%num_gpus ) {
/* owns the next column, look-ahead the column */
magma_dtrsm( MagmaRight, MagmaLower, MagmaConjTrans, MagmaNonUnit,
nb0, jb, c_one,
dlpanel, dlpanel_offset, ldpanel,
dlA(d, nb*j_local2, j), ldda,
queues[d*2+1]);
/* send the column to cpu */
if( j+jb < n ) {
magma_queue_sync( queues[d*2+1] ); // wait for lookahead
magma_dgetmatrix_async( nb0, j+jb,
dlA(d, nb*j_local2, 0), ldda,
Alo(j+jb,0), lda,
queues[d*2], NULL);
clFlush(queues[d*2]);
}
/* update the remaining blocks */
nb2 = nb2 - nb0;
magma_dtrsm( MagmaRight, MagmaLower, MagmaConjTrans, MagmaNonUnit,
nb2, jb, c_one,
dlpanel, dlpanel_offset, ldpanel,
dlA(d, nb*j_local2+nb0, j), ldda,
queues[d*2+1]);
} else if( nb2 > 0 ) {
/* update the entire trailing matrix */
magma_dtrsm( MagmaRight, MagmaLower, MagmaConjTrans, MagmaNonUnit,
nb2, jb, c_one,
dlpanel, dlpanel_offset, ldpanel,
dlA(d, nb*j_local2, j), ldda,
queues[d*2+1]);
}
d = (d+1)%num_gpus;
}
}
}
} /* end of else not upper */
/* clean up */
for( d=0; d<num_gpus; d++ ) {
magma_queue_sync( queues[d*2] );
magma_queue_sync( queues[d*2+1] );
}
} /* end of not lapack */
return *info;
} /* magma_dpotrf_mgpu */
extern "C" magma_int_t
magma_dgeqrf(magma_int_t m, magma_int_t n,
double *A, magma_int_t lda, double *tau,
double *work, magma_int_t lwork,
magma_int_t *info )
{
/* -- MAGMA (version 1.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
August 2013
Purpose
=======
DGEQRF computes a QR factorization of a DOUBLE_PRECISION M-by-N matrix A:
A = Q * R. This version does not require work space on the GPU
passed as input. GPU memory is allocated in the routine.
If the current stream is NULL, this version replaces it with user defined
stream to overlap computation with communication.
Arguments
=========
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
A (input/output) DOUBLE_PRECISION array, dimension (LDA,N)
On entry, the M-by-N matrix A.
On exit, the elements on and above the diagonal of the array
contain the min(M,N)-by-N upper trapezoidal matrix R (R is
upper triangular if m >= n); the elements below the diagonal,
with the array TAU, represent the orthogonal matrix Q as a
product of min(m,n) elementary reflectors (see Further
Details).
Higher performance is achieved if A is in pinned memory, e.g.
allocated using magma_malloc_pinned.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
TAU (output) DOUBLE_PRECISION array, dimension (min(M,N))
The scalar factors of the elementary reflectors (see Further
Details).
WORK (workspace/output) DOUBLE_PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
Higher performance is achieved if WORK is in pinned memory, e.g.
allocated using magma_malloc_pinned.
LWORK (input) INTEGER
The dimension of the array WORK. LWORK >= max( N*NB, 2*NB*NB ),
where NB can be obtained through magma_get_dgeqrf_nb(M).
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
or another error occured, such as memory allocation failed.
Further Details
===============
The matrix Q is represented as a product of elementary reflectors
Q = H(1) H(2) . . . H(k), where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i),
and tau in TAU(i).
===================================================================== */
#define A(i,j) ( A + (i) + (j)*lda )
#define dA(i,j) (dA + (i) + (j)*ldda)
double *dA, *dwork, *dT;
double c_one = MAGMA_D_ONE;
magma_int_t i, k, lddwork, old_i, old_ib;
magma_int_t ib, ldda;
/* Function Body */
*info = 0;
magma_int_t nb = magma_get_dgeqrf_nb(min(m, n));
// need 2*nb*nb to store T and upper triangle of V simultaneously
magma_int_t lwkopt = max(n*nb, 2*nb*nb);
work[0] = MAGMA_D_MAKE( (double)lwkopt, 0 );
int lquery = (lwork == -1);
if (m < 0) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (lda < max(1,m)) {
*info = -4;
} else if (lwork < max(1, lwkopt) && ! lquery) {
*info = -7;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
else if (lquery)
return *info;
k = min(m,n);
if (k == 0) {
work[0] = c_one;
return *info;
}
// largest N for larfb is n-nb (trailing matrix lacks 1st panel)
lddwork = ((n+31)/32)*32 - nb;
ldda = ((m+31)/32)*32;
magma_int_t num_gpus = magma_num_gpus();
if( num_gpus > 1 ) {
/* call multiple-GPU interface */
return magma_dgeqrf4(num_gpus, m, n, A, lda, tau, work, lwork, info);
}
// allocate space for dA, dwork, and dT
if (MAGMA_SUCCESS != magma_dmalloc( &dA, n*ldda + nb*lddwork + nb*nb )) {
/* Switch to the "out-of-core" (out of GPU-memory) version */
return magma_dgeqrf_ooc(m, n, A, lda, tau, work, lwork, info);
}
/* Define user stream if current stream is NULL */
magma_queue_t stream[3], current_stream;
magmablasGetKernelStream(¤t_stream);
magma_queue_create( &stream[0] );
magma_queue_create( &stream[2] );
if (current_stream == NULL) {
magma_queue_create( &stream[1] );
magmablasSetKernelStream(stream[1]);
}
else
stream[1] = current_stream;
dwork = dA + n*ldda;
dT = dA + n*ldda + nb*lddwork;
if ( (nb > 1) && (nb < k) ) {
/* Use blocked code initially.
Asynchronously send the matrix to the GPU except the first panel. */
magma_dsetmatrix_async( m, n-nb,
A(0,nb), lda,
dA(0,nb), ldda, stream[2] );
old_i = 0;
old_ib = nb;
for (i = 0; i < k-nb; i += nb) {
ib = min(k-i, nb);
if (i>0) {
/* download i-th panel */
magma_queue_sync( stream[1] );
magma_dgetmatrix_async( m-i, ib,
dA(i,i), ldda,
A(i,i), lda, stream[0] );
/* Apply H' to A(i:m,i+2*ib:n) from the left */
magma_dlarfb_gpu( MagmaLeft, MagmaTrans, MagmaForward, MagmaColumnwise,
m-old_i, n-old_i-2*old_ib, old_ib,
dA(old_i, old_i), ldda, dT, nb,
dA(old_i, old_i+2*old_ib), ldda, dwork, lddwork);
magma_dgetmatrix_async( i, ib,
dA(0,i), ldda,
A(0,i), lda, stream[2] );
magma_queue_sync( stream[0] );
}
magma_int_t rows = m-i;
lapackf77_dgeqrf(&rows, &ib, A(i,i), &lda, tau+i, work, &lwork, info);
/* Form the triangular factor of the block reflector
H = H(i) H(i+1) . . . H(i+ib-1) */
lapackf77_dlarft( MagmaForwardStr, MagmaColumnwiseStr,
&rows, &ib, A(i,i), &lda, tau+i, work, &ib);
dpanel_to_q(MagmaUpper, ib, A(i,i), lda, work+ib*ib);
/* download the i-th V matrix */
magma_dsetmatrix_async( rows, ib, A(i,i), lda, dA(i,i), ldda, stream[0] );
/* download the T matrix */
magma_dsetmatrix_async( ib, ib, work, ib, dT, nb, stream[0] );
magma_queue_sync( stream[0] );
if (i + ib < n) {
if (i+ib < k-nb) {
/* Apply H' to A(i:m,i+ib:i+2*ib) from the left (look-ahead) */
magma_dlarfb_gpu( MagmaLeft, MagmaTrans, MagmaForward, MagmaColumnwise,
rows, ib, ib,
dA(i, i ), ldda, dT, nb,
dA(i, i+ib), ldda, dwork, lddwork);
dq_to_panel(MagmaUpper, ib, A(i,i), lda, work+ib*ib);
}
else {
/* After last panel, update whole trailing matrix. */
/* Apply H' to A(i:m,i+ib:n) from the left */
magma_dlarfb_gpu( MagmaLeft, MagmaTrans, MagmaForward, MagmaColumnwise,
rows, n-i-ib, ib,
dA(i, i ), ldda, dT, nb,
dA(i, i+ib), ldda, dwork, lddwork);
dq_to_panel(MagmaUpper, ib, A(i,i), lda, work+ib*ib);
}
old_i = i;
old_ib = ib;
}
}
} else {
i = 0;
}
/* Use unblocked code to factor the last or only block. */
if (i < k) {
ib = n-i;
if (i != 0) {
magma_dgetmatrix( m, ib, dA(0,i), ldda, A(0,i), lda );
}
magma_int_t rows = m-i;
lapackf77_dgeqrf(&rows, &ib, A(i,i), &lda, tau+i, work, &lwork, info);
}
magma_queue_destroy( stream[0] );
magma_queue_destroy( stream[2] );
if (current_stream == NULL) {
magma_queue_destroy( stream[1] );
magmablasSetKernelStream(NULL);
}
magma_free( dA );
return *info;
} /* magma_dgeqrf */
extern "C" magma_err_t
magma_dgetrf2_mgpu(magma_int_t num_gpus,
magma_int_t m, magma_int_t n, magma_int_t nb, magma_int_t offset,
magmaDouble_ptr *d_lAT, size_t dlAT_offset, magma_int_t lddat,
magma_int_t *ipiv,
magmaDouble_ptr *d_lAP, size_t dlAP_offset,
double *w, magma_int_t ldw,
magma_int_t *info, magma_queue_t *queues)
{
/* -- clMAGMA (version 1.1.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2014
Purpose
=======
DGETRF computes an LU factorization of a general M-by-N matrix A
using partial pivoting with row interchanges.
The factorization has the form
A = P * L * U
where P is a permutation matrix, L is lower triangular with unit
diagonal elements (lower trapezoidal if m > n), and U is upper
triangular (upper trapezoidal if m < n).
This is the right-looking Level 3 BLAS version of the algorithm.
Use two buffer to send panels..
Arguments
=========
NUM_GPUS
(input) INTEGER
The number of GPUS to be used for the factorization.
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
A (input/output) DOUBLE_PRECISION array on the GPU, dimension (LDDA,N).
On entry, the M-by-N matrix to be factored.
On exit, the factors L and U from the factorization
A = P*L*U; the unit diagonal elements of L are not stored.
LDDA (input) INTEGER
The leading dimension of the array A. LDDA >= max(1,M).
IPIV (output) INTEGER array, dimension (min(M,N))
The pivot indices; for 1 <= i <= min(M,N), row i of the
matrix was interchanged with row IPIV(i).
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
if INFO = -7, internal GPU memory allocation failed.
> 0: if INFO = i, U(i,i) is exactly zero. The factorization
has been completed, but the factor U is exactly
singular, and division by zero will occur if it is used
to solve a system of equations.
===================================================================== */
#define inAT(id,i,j) d_lAT[(id)], (((offset)+(i)*nb)*lddat + (j)*nb)
#define inAT_offset(i, j) (((offset)+(i)*nb)*lddat + (j)*nb)
#define W(j) (w+((j)%num_gpus)*nb*ldw)
double c_one = MAGMA_D_ONE;
double c_neg_one = MAGMA_D_NEG_ONE;
magma_int_t block_size = 32;
magma_int_t iinfo, n_local[4];
magma_int_t maxm, mindim;
magma_int_t i, ii, d, dd, rows, cols, s, ldpan[4];
magma_int_t id, i_local, i_local2, nb0, nb1;
magmaDouble_ptr d_panel[4], panel_local[4];
size_t d_panel_offset[4];
size_t panel_local_offset[4];
//cudaStream_t streaml[4][2];
/* Check arguments */
*info = 0;
if (m < 0)
*info = -2;
else if (n < 0)
*info = -3;
else if (num_gpus*lddat < max(1,n))
*info = -5;
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
/* Quick return if possible */
if (m == 0 || n == 0)
return *info;
/* Function Body */
mindim = min(m, n);
//nb = magma_get_dgetrf_nb(m);
if( num_gpus > ceil((double)n/nb) ) {
*info = -1;
return *info;
}
else{
printf("dgetrf2_mgpu num_gpu: %d\n", num_gpus);
/* Use hybrid blocked code. */
maxm = ((m + block_size-1)/block_size)*block_size;
/* some initializations */
for(i=0; i<num_gpus; i++){
n_local[i] = ((n/nb)/num_gpus)*nb;
if (i < (n/nb)%num_gpus)
n_local[i] += nb;
else if (i == (n/nb)%num_gpus)
n_local[i] += n%nb;
/* workspaces */
//d_panel[i] = &(d_lAP[i][nb*maxm]); /* temporary panel storage */
d_panel[i] = d_lAP[i];
d_panel_offset[i] = nb*maxm;
}
/* start sending the panel to cpu */
nb0 = min(mindim, nb);
if( nb0 == nb )
magma_dtranspose( d_lAP[0], 0, maxm, inAT(0,0,0), lddat, nb0, maxm, queues[2*0+1] );
else
magma_dtranspose2( d_lAP[0], 0, maxm, inAT(0,0,0), lddat, nb0, maxm, queues[2*0+1] );
magma_dgetmatrix_async( m, nb0,
d_lAP[0], 0, maxm,
W(0), 0, ldw, queues[2*0+1], NULL );
clFlush(queues[2*0+1]);
/* ------------------------------------------------------------------------------------- */
s = mindim / nb;
for( i=0; i<s; i++ )
{
/* Set the GPU number that holds the current panel */
id = i%num_gpus;
/* Set the local index where the current panel is */
i_local = i/num_gpus;
// cols for gpu panel
cols = maxm - i*nb;
// rows for cpu panel
rows = m - i*nb;
/* synchrnoize i-th panel from id-th gpu into work */
magma_queue_sync( queues[2*id+1] );
/* i-th panel factorization */
lapackf77_dgetrf( &rows, &nb, W(i), &ldw, ipiv+i*nb, &iinfo);
if ( (*info == 0) && (iinfo > 0) ) {
*info = iinfo + i*nb;
//break;
}
/* start sending the panel to all the gpus */
d = (i+1)%num_gpus;
for( dd=0; dd<num_gpus; dd++ ) {
magma_dsetmatrix_async( rows, nb,
W(i), 0, ldw,
d_lAP[d], dlAP_offset, cols, queues[2*d+1], NULL );
d = (d+1)%num_gpus;
}
/* apply the pivoting */
d = (i+1)%num_gpus;
for( dd=0; dd<num_gpus; dd++ ) {
if(dd==0){
// row offset will be added to ipiv in long2
magma_dpermute_long2( lddat, inAT(d,0,0), lddat, ipiv, nb, i*nb, queues[2*d] );
}else{
// ipiv is already added by row offset, calling long3
//magma_dpermute_long2( lddat, inAT(d,0,0), lddat, ipiv, nb, i*nb, queues[2*d] );
magma_dpermute_long3( lddat, inAT(d,0,0), lddat, ipiv, nb, i*nb, queues[2*d] );
}
d = (d+1)%num_gpus;
}
/* update the trailing-matrix/look-ahead */
d = (i+1)%num_gpus;
for( dd=0; dd<num_gpus; dd++ ) {
/* storage for panel */
if( d == id ) {
/* the panel belond to this gpu */
//panel_local[d] = inAT(d,i,i_local);
panel_local[d] = d_lAT[d];
panel_local_offset[d] = inAT_offset(i, i_local);
ldpan[d] = lddat;
/* next column */
i_local2 = i_local+1;
} else {
/* the panel belong to another gpu */
//panel_local[d] = &d_panel[d][(i%2)*nb*maxm];
panel_local[d] = d_panel[d];
panel_local_offset[d] = d_panel_offset[d] + (i%2)*nb*maxm;
//panel_local[d] = d_panel[d];
ldpan[d] = nb;
/* next column */
i_local2 = i_local;
if( d < id ) i_local2 ++;
}
/* the size of the next column */
if ( s > (i+1) ) {
nb0 = nb;
} else {
nb0 = n_local[d]-nb*(s/num_gpus);
if( d < s%num_gpus ) nb0 -= nb;
}
if( d == (i+1)%num_gpus) {
/* owns the next column, look-ahead the column */
nb1 = nb0;
/* make sure all the pivoting has been applied */
//magma_queue_sync(queues[2*d]);
} else {
/* update the entire trailing matrix */
nb1 = n_local[d] - i_local2*nb;
/* synchronization to make sure panel arrived on gpu */
//magma_queue_sync(queues[2*d+1]);
}
/*
magma_queue_sync(queues[2*d]);
magma_queue_sync(queues[2*d+1]);
*/
//magma_dtranspose(panel_local[d], panel_local_offset[d], ldpan[d], d_lAP[d], 0, cols, cols, nb, queues[2*d]);
/* gpu updating the trailing matrix */
if(d == (i+1)%num_gpus){
magma_queue_sync(queues[2*d]);
magma_dtranspose(panel_local[d], panel_local_offset[d], ldpan[d], d_lAP[d], 0, cols, cols, nb, queues[2*d+1]);
magma_queue_sync(queues[2*d+1]);
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
nb1, nb, c_one,
panel_local[d], panel_local_offset[d], ldpan[d],
inAT(d, i, i_local2), lddat, queues[2*d+1]);
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
nb1, m-(i+1)*nb, nb,
c_neg_one, inAT(d, i, i_local2), lddat,
panel_local[d], panel_local_offset[d]+nb*ldpan[d], ldpan[d],
c_one, inAT(d, i+1, i_local2), lddat,
queues[2*d+1]);
}else{
magma_queue_sync(queues[2*d+1]);
magma_dtranspose(panel_local[d], panel_local_offset[d], ldpan[d], d_lAP[d], 0, cols, cols, nb, queues[2*d]);
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
nb1, nb, c_one,
panel_local[d], panel_local_offset[d], ldpan[d],
inAT(d, i, i_local2), lddat, queues[2*d]);
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
nb1, m-(i+1)*nb, nb,
c_neg_one, inAT(d, i, i_local2), lddat,
panel_local[d], panel_local_offset[d]+nb*ldpan[d], ldpan[d],
c_one, inAT(d, i+1, i_local2), lddat,
queues[2*d]);
}
if( d == (i+1)%num_gpus )
{
/* Set the local index where the current panel is */
int loff = i+1;
int i_local = (i+1)/num_gpus;
int ldda = maxm - (i+1)*nb;
int cols = m - (i+1)*nb;
nb0 = min(nb, mindim - (i+1)*nb); /* size of the diagonal block */
if( nb0 > 0 ) {
/* transpose the panel for sending it to cpu */
if( i+1 < s )
magma_dtranspose( d_lAP[d], 0, ldda, inAT(d,loff,i_local), lddat, nb0, ldda, queues[2*d+1] );
else
magma_dtranspose2( d_lAP[d], 0, ldda, inAT(d,loff,i_local), lddat, nb0, ldda, queues[2*d+1] );
//clFinish(queues[2*d+1]);
/* send the panel to cpu */
magma_dgetmatrix_async( cols, nb0,
d_lAP[d], 0, ldda,
W(i+1), 0, ldw, queues[2*d+1], NULL );
}
} else {
//trace_gpu_end( d, 0 );
}
d = (d+1)%num_gpus;
}
/* update the remaining matrix by gpu owning the next panel */
if( (i+1) < s ) {
int i_local = (i+1)/num_gpus;
int rows = m - (i+1)*nb;
d = (i+1)%num_gpus;
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
n_local[d] - (i_local+1)*nb, nb,
c_one, panel_local[d], panel_local_offset[d], ldpan[d],
inAT(d,i,i_local+1), lddat, queues[2*d] );
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
n_local[d]-(i_local+1)*nb, rows, nb,
c_neg_one, inAT(d,i,i_local+1), lddat,
panel_local[d], panel_local_offset[d]+nb*ldpan[d], ldpan[d],
c_one, inAT(d,i+1, i_local+1), lddat, queues[2*d] );
}
} /* end of for i=1..s */
/* ------------------------------------------------------------------------------ */
/* Set the GPU number that holds the last panel */
id = s%num_gpus;
/* Set the local index where the last panel is */
i_local = s/num_gpus;
/* size of the last diagonal-block */
nb0 = min(m - s*nb, n - s*nb);
rows = m - s*nb;
cols = maxm - s*nb;
if( nb0 > 0 ) {
/* wait for the last panel on cpu */
magma_queue_sync( queues[2*id+1]);
/* factor on cpu */
lapackf77_dgetrf( &rows, &nb0, W(s), &ldw, ipiv+s*nb, &iinfo);
if ( (*info == 0) && (iinfo > 0) )
*info = iinfo + s*nb;
/* send the factor to gpus */
for( d=0; d<num_gpus; d++ ) {
i_local2 = i_local;
if( d < id ) i_local2 ++;
if( d == id || n_local[d] > i_local2*nb ) {
magma_dsetmatrix_async( rows, nb0,
W(s), 0, ldw,
d_lAP[d], 0, cols, queues[2*d+1], NULL );
}
}
for( d=0; d<num_gpus; d++ ) {
if(d==0){
magma_dpermute_long2( lddat, inAT(d,0,0), lddat, ipiv, nb0, s*nb, queues[2*d] );
}else{
//magma_dpermute_long2( lddat, inAT(d,0,0), lddat, ipiv, nb0, s*nb, queues[2*d] );
magma_dpermute_long3( lddat, inAT(d,0,0), lddat, ipiv, nb0, s*nb, queues[2*d] );
}
}
for( d=0; d<num_gpus; d++ ) {
//magma_queue_sync( queues[2*d+1] );
/* wait for the pivoting to be done */
magma_queue_sync( queues[2*d] );
i_local2 = i_local;
if( d < id ) i_local2++;
if( d == id ) {
/* the panel belond to this gpu */
//panel_local[d] = inAT(d,s,i_local);
panel_local[d] = d_lAT[d];
panel_local_offset[d] = inAT_offset(s, i_local);
/* next column */
nb1 = n_local[d] - i_local*nb-nb0;
magma_dtranspose2( panel_local[d], panel_local_offset[d], lddat, d_lAP[d], 0, cols, rows, nb0, queues[2*d+1]);
if( nb1 > 0 ){
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
nb1, nb0, c_one,
panel_local[d], panel_local_offset[d], lddat,
d_lAT[d], inAT_offset(s,i_local)+nb0, lddat, queues[2*d+1]);
}
} else if( n_local[d] > i_local2*nb ) {
/* the panel belong to another gpu */
//panel_local[d] = &d_panel[d][(s%2)*nb*maxm];
panel_local[d] = d_panel[d];
panel_local_offset[d] = d_panel_offset[d] + (s%2)*nb*maxm;
//panel_local[d] = d_panel[d];
/* next column */
nb1 = n_local[d] - i_local2*nb;
magma_dtranspose2( panel_local[d], panel_local_offset[d], nb, d_lAP[d], 0, cols, rows, nb0, queues[2*d+1]);
//cublasDtrsm
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
nb1, nb0, c_one,
panel_local[d], panel_local_offset[d], nb,
inAT(d,s,i_local2), lddat, queues[2*d+1]);
}
}
} /* if( nb0 > 0 ) */
/* clean up */
for( d=0; d<num_gpus; d++ ) {
magma_queue_sync( queues[2*d] );
magma_queue_sync( queues[2*d+1] );
//magma_queue_destroy(streaml[d][0]);
//magma_queue_destroy(streaml[d][1]);
}
}
return *info;
/* End of MAGMA_DGETRF2_MGPU */
}
/**
Purpose
=======
DSYTRF_nopiv computes the LDLt factorization of a real symmetric
matrix A. This version does not require work space on the GPU passed
as input. GPU memory is allocated in the routine.
The factorization has the form
A = U^H * D * U , if UPLO = 'U', or
A = L * D * L^H, if UPLO = 'L',
where U is an upper triangular matrix, L is lower triangular, and
D is a diagonal matrix.
This is the block version of the algorithm, calling Level 3 BLAS.
Arguments
---------
@param[in]
UPLO CHARACTER*1
- = 'U': Upper triangle of A is stored;
- = 'L': Lower triangle of A is stored.
@param[in]
N INTEGER
The order of the matrix A. N >= 0.
@param[in,out]
A DOUBLE_PRECISION array, dimension (LDA,N)
On entry, the symmetric matrix A. If UPLO = 'U', the leading
N-by-N upper triangular part of A contains the upper
triangular part of the matrix A, and the strictly lower
triangular part of A is not referenced. If UPLO = 'L', the
leading N-by-N lower triangular part of A contains the lower
triangular part of the matrix A, and the strictly upper
triangular part of A is not referenced.
\n
On exit, if INFO = 0, the factor U or L from the Cholesky
factorization A = U^H D U or A = L D L^H.
\n
Higher performance is achieved if A is in pinned memory.
@param[in]
LDA INTEGER
The leading dimension of the array A. LDA >= max(1,N).
@param[out]
INFO INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
if INFO = -6, the GPU memory allocation failed
- > 0: if INFO = i, the leading minor of order i is not
positive definite, and the factorization could not be
completed.
@ingroup magma_dsysv_comp
******************************************************************* */
extern "C" magma_int_t
magma_dsytrf_nopiv(
magma_uplo_t uplo, magma_int_t n,
double *A, magma_int_t lda,
magma_int_t *info)
{
#define A(i, j) ( A +(j)*lda + (i))
#define dA(i, j) (dA +(j)*ldda + (i))
#define dW(i, j) (dW +(j)*ldda + (i))
#define dWt(i, j) (dW +(j)*nb + (i))
double zone = MAGMA_D_ONE;
double mzone = MAGMA_D_NEG_ONE;
int upper = (uplo == MagmaUpper);
magma_int_t j, k, jb, ldda, nb, ib, iinfo;
magmaDouble_ptr dA;
magmaDouble_ptr dW;
*info = 0;
if (! upper && uplo != MagmaLower) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (lda < max(1,n)) {
*info = -4;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return MAGMA_ERR_ILLEGAL_VALUE;
}
/* Quick return */
if ( n == 0 )
return MAGMA_SUCCESS;
ldda = ((n+31)/32)*32;
nb = magma_get_dsytrf_nopiv_nb(n);
ib = min(32, nb); // inner-block for diagonal factorization
if ((MAGMA_SUCCESS != magma_dmalloc(&dA, n *ldda)) ||
(MAGMA_SUCCESS != magma_dmalloc(&dW, nb*ldda))) {
/* alloc failed so call the non-GPU-resident version */
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
magma_queue_t stream[2];
magma_event_t event;
magma_queue_create(&stream[0]);
magma_queue_create(&stream[1]);
magma_event_create( &event );
trace_init( 1, 1, 2, stream );
/* Use hybrid blocked code. */
if (upper) {
//=========================================================
// Compute the LDLt factorization A = U'*D*U without pivoting.
// copy matrix to GPU
for (j=0; j<n; j+=nb) {
jb = min(nb, (n-j));
trace_gpu_start( 0, 0, "set", "set" );
magma_dsetmatrix_async(j+jb, jb, A(0, j), lda, dA(0, j), ldda, stream[0]);
trace_gpu_end( 0, 0 );
}
// main loop
for (j=0; j<n; j += nb) {
jb = min(nb, (n-j));
// copy A(j,j) back to CPU
trace_gpu_start( 0, 0, "get", "get" );
if ( j!=0) {
//magma_event_sync(event);
magma_dgetmatrix_async(jb, jb, dA(j, j), ldda, A(j,j), lda, stream[1]);
}
trace_gpu_end( 0, 0 );
// factorize the diagonal block
magma_queue_sync(stream[1]);
trace_cpu_start( 0, "potrf", "potrf" );
dsytrf_nopiv_cpu(MagmaUpper, jb, ib, A(j, j), lda, info);
trace_cpu_end( 0 );
if (*info != 0){
*info = *info + j;
break;
}
// copy A(j,j) back to GPU
trace_gpu_start( 0, 0, "set", "set" );
magma_dsetmatrix_async(jb, jb, A(j, j), lda, dA(j, j), ldda, stream[0]);
trace_gpu_end( 0, 0 );
// copy j-th column of U back to CPU
trace_gpu_start( 0, 1, "get", "get" );
magma_dgetmatrix_async(j, jb, dA(0, j), ldda, A(0, j), lda, stream[1]);
trace_gpu_end( 0, 1 );
if ( (j+jb) < n) {
// compute the off-diagonal blocks of current block column
magmablasSetKernelStream( stream[0] );
trace_gpu_start( 0, 0, "trsm", "trsm" );
magma_dtrsm(MagmaLeft, MagmaUpper, MagmaConjTrans, MagmaUnit,
jb, (n-j-jb),
zone, dA(j, j), ldda,
dA(j, j+jb), ldda);
magma_dcopymatrix( jb, n-j-jb, dA( j, j+jb ), ldda, dWt( 0, j+jb ), nb );
// update the trailing submatrix with D
magmablas_dlascl_diag(MagmaUpper, jb, n-j-jb,
dA(j, j), ldda,
dA(j, j+jb), ldda,
&iinfo);
trace_gpu_end( 0, 0 );
// update the trailing submatrix with U and W
trace_gpu_start( 0, 0, "gemm", "gemm" );
for (k=j+jb; k<n; k+=nb) {
magma_int_t kb = min(nb,n-k);
magma_dgemm(MagmaConjTrans, MagmaNoTrans, kb, n-k, jb,
mzone, dWt(0, k), nb,
dA(j, k), ldda,
zone, dA(k, k), ldda);
if (k==j+jb) {
// magma_event_record( event, stream[0] );
magma_queue_sync( stream[0] );
}
}
trace_gpu_end( 0, 0 );
}
}
} else {
//=========================================================
// Compute the LDLt factorization A = L*D*L' without pivoting.
// copy the matrix to GPU
for (j=0; j<n; j+=nb) {
jb = min(nb, (n-j));
trace_gpu_start( 0, 0, "set", "set" );
magma_dsetmatrix_async((n-j), jb, A(j, j), lda, dA(j, j), ldda, stream[0]);
trace_gpu_end( 0, 0 );
}
// main loop
for (j=0; j<n; j+=nb) {
jb = min(nb, (n-j));
// copy A(j,j) back to CPU
trace_gpu_start( 0, 0, "get", "get" );
if (j!=0) {
//magma_event_sync(event);
magma_dgetmatrix_async(jb, jb, dA(j, j), ldda, A(j,j), lda, stream[1]);
}
trace_gpu_end( 0, 0 );
// factorize the diagonal block
magma_queue_sync(stream[1]);
trace_cpu_start( 0, "potrf", "potrf" );
dsytrf_nopiv_cpu(MagmaLower, jb, ib, A(j, j), lda, info);
trace_cpu_end( 0 );
if (*info != 0){
*info = *info + j;
break;
}
// copy A(j,j) back to GPU
trace_gpu_start( 0, 0, "set", "set" );
magma_dsetmatrix_async(jb, jb, A(j, j), lda, dA(j, j), ldda, stream[0]);
trace_gpu_end( 0, 0 );
// copy j-th row of L back to CPU
trace_gpu_start( 0, 1, "get", "get" );
magma_dgetmatrix_async(jb, j, dA(j, 0), ldda, A(j, 0), lda, stream[1]);
trace_gpu_end( 0, 1 );
if ( (j+jb) < n) {
// compute the off-diagonal blocks of current block column
magmablasSetKernelStream( stream[0] );
trace_gpu_start( 0, 0, "trsm", "trsm" );
magma_dtrsm(MagmaRight, MagmaLower, MagmaConjTrans, MagmaUnit,
(n-j-jb), jb,
zone, dA(j, j), ldda,
dA(j+jb, j), ldda);
magma_dcopymatrix( n-j-jb,jb, dA( j+jb, j ), ldda, dW( j+jb, 0 ), ldda );
// update the trailing submatrix with D
magmablas_dlascl_diag(MagmaLower, n-j-jb, jb,
dA(j, j), ldda,
dA(j+jb, j), ldda,
&iinfo);
trace_gpu_end( 0, 0 );
// update the trailing submatrix with L and W
trace_gpu_start( 0, 0, "gemm", "gemm" );
for (k=j+jb; k<n; k+=nb) {
magma_int_t kb = min(nb,n-k);
magma_dgemm(MagmaNoTrans, MagmaConjTrans, n-k, kb, jb,
mzone, dA(k, j), ldda,
dW(k, 0), ldda,
zone, dA(k, k), ldda);
if (k==j+jb) {
//magma_event_record( event, stream[0] );
magma_queue_sync(stream[0]);
}
}
trace_gpu_end( 0, 0 );
}
}
}
trace_finalize( "dsytrf.svg","trace.css" );
magma_queue_destroy(stream[0]);
magma_queue_destroy(stream[1]);
magma_event_destroy( event );
magma_free(dW);
magma_free(dA);
return MAGMA_SUCCESS;
} /* magma_dsytrf_nopiv */
/**
Purpose
-------
DGETRF_m computes an LU factorization of a general M-by-N matrix A
using partial pivoting with row interchanges. This version does not
require work space on the GPU passed as input. GPU memory is allocated
in the routine. The matrix may not fit entirely in the GPU memory.
The factorization has the form
A = P * L * U
where P is a permutation matrix, L is lower triangular with unit
diagonal elements (lower trapezoidal if m > n), and U is upper
triangular (upper trapezoidal if m < n).
This is the right-looking Level 3 BLAS version of the algorithm.
Note: The factorization of big panel is done calling multiple-gpu-interface.
Pivots are applied on GPU within the big panel.
Arguments
---------
@param[in]
num_gpus INTEGER
The number of GPUs. num_gpus > 0.
@param[in]
m INTEGER
The number of rows of the matrix A. M >= 0.
@param[in]
n INTEGER
The number of columns of the matrix A. N >= 0.
@param[in,out]
A DOUBLE_PRECISION array, dimension (LDA,N)
On entry, the M-by-N matrix to be factored.
On exit, the factors L and U from the factorization
A = P*L*U; the unit diagonal elements of L are not stored.
\n
Higher performance is achieved if A is in pinned memory, e.g.
allocated using magma_malloc_pinned.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,M).
@param[out]
ipiv INTEGER array, dimension (min(M,N))
The pivot indices; for 1 <= i <= min(M,N), row i of the
matrix was interchanged with row IPIV(i).
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
or another error occured, such as memory allocation failed.
- > 0: if INFO = i, U(i,i) is exactly zero. The factorization
has been completed, but the factor U is exactly
singular, and division by zero will occur if it is used
to solve a system of equations.
@ingroup magma_dgesv_comp
********************************************************************/
extern "C" magma_int_t
magma_dgetrf_m(magma_int_t num_gpus, magma_int_t m, magma_int_t n,
double *A, magma_int_t lda,
magma_int_t *ipiv, magma_int_t *info)
{
#define A(i,j) (A + (j)*lda + (i))
#define dAT(d,i,j) (dAT[d] + (i)*nb*ldn_local + (j)*nb)
#define dPT(d,i,j) (dPT[d] + (i)*nb*nb + (j)*nb*maxm)
magma_timer_t time=0, time_total=0, time_alloc=0, time_set=0, time_get=0, time_comp=0;
timer_start( time_total );
real_Double_t flops;
double c_one = MAGMA_D_ONE;
double c_neg_one = MAGMA_D_NEG_ONE;
double *dAT[MagmaMaxGPUs], *dA[MagmaMaxGPUs], *dPT[MagmaMaxGPUs];
magma_int_t iinfo = 0, nb, nbi, maxm, n_local[MagmaMaxGPUs], ldn_local;
magma_int_t N, M, NB, NBk, I, d, num_gpus0 = num_gpus;
magma_int_t ii, jj, h, offset, ib, rows, s;
magma_queue_t stream[MagmaMaxGPUs][2];
magma_event_t event[MagmaMaxGPUs][2];
*info = 0;
if (m < 0)
*info = -1;
else if (n < 0)
*info = -2;
else if (lda < max(1,m))
*info = -4;
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
/* Quick return if possible */
if (m == 0 || n == 0)
return *info;
/* initialize nb */
nb = magma_get_dgetrf_nb(m);
maxm = ((m + 31)/32)*32;
/* figure out NB */
size_t freeMem, totalMem;
cudaMemGetInfo( &freeMem, &totalMem );
freeMem /= sizeof(double);
/* number of columns in the big panel */
h = 1+(2+num_gpus0);
NB = (magma_int_t)(0.8*freeMem/maxm-h*nb);
const char* ngr_nb_char = getenv("MAGMA_NGR_NB");
if ( ngr_nb_char != NULL ) NB = max( nb, min( NB, atoi(ngr_nb_char) ) );
//NB = 5*max(nb,32);
if ( num_gpus0 > ceil((double)NB/nb) ) {
num_gpus = (int)ceil((double)NB/nb);
h = 1+(2+num_gpus);
NB = (magma_int_t)(0.8*freeMem/maxm-h*nb);
} else {
num_gpus = num_gpus0;
}
if ( num_gpus*NB >= n ) {
#ifdef CHECK_DGETRF_OOC
printf( " * still fit in GPU memory.\n" );
#endif
NB = n;
} else {
#ifdef CHECK_DGETRF_OOC
printf( " * don't fit in GPU memory.\n" );
#endif
NB = num_gpus*NB;
NB = max( nb, (NB / nb) * nb); /* making sure it's devisable by nb (x64) */
}
#ifdef CHECK_DGETRF_OOC
if ( NB != n ) printf( " * running in out-core mode (n=%d, NB=%d, nb=%d, freeMem=%.2e).\n", n, NB, nb, (double)freeMem );
else printf( " * running in in-core mode (n=%d, NB=%d, nb=%d, freeMem=%.2e).\n", n, NB, nb, (double)freeMem );
#endif
if ( (nb <= 1) || (nb >= min(m,n)) ) {
/* Use CPU code for scalar of one tile. */
lapackf77_dgetrf(&m, &n, A, &lda, ipiv, info);
} else {
/* Use hybrid blocked code. */
/* allocate memory on GPU to store the big panel */
timer_start( time_alloc );
n_local[0] = (NB/nb)/num_gpus;
if ( NB%(nb*num_gpus) != 0 ) n_local[0] ++;
n_local[0] *= nb;
ldn_local = ((n_local[0]+31)/32)*32;
for( d=0; d < num_gpus; d++ ) {
magma_setdevice(d);
if (MAGMA_SUCCESS != magma_dmalloc( &dA[d], (ldn_local+h*nb)*maxm )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
dPT[d] = dA[d] + nb*maxm; /* for storing the previous panel from CPU */
dAT[d] = dA[d] + h*nb*maxm; /* for storing the big panel */
magma_queue_create( &stream[d][0] );
magma_queue_create( &stream[d][1] );
magma_event_create( &event[d][0] );
magma_event_create( &event[d][1] );
}
//magma_setdevice(0);
timer_stop( time_alloc );
for( I=0; I < n; I += NB ) {
M = m;
N = min( NB, n-I ); /* number of columns in this big panel */
s = min( max(m-I,0), N )/nb; /* number of small block-columns in this big panel */
maxm = ((M + 31)/32)*32;
if ( num_gpus0 > ceil((double)N/nb) ) {
num_gpus = (int)ceil((double)N/nb);
} else {
num_gpus = num_gpus0;
}
for( d=0; d < num_gpus; d++ ) {
n_local[d] = ((N/nb)/num_gpus)*nb;
if (d < (N/nb)%num_gpus)
n_local[d] += nb;
else if (d == (N/nb)%num_gpus)
n_local[d] += N%nb;
}
ldn_local = ((n_local[0]+31)/32)*32;
/* upload the next big panel into GPU, transpose (A->A'), and pivot it */
timer_start( time );
magmablas_dsetmatrix_transpose_mgpu(num_gpus, stream, A(0,I), lda,
dAT, ldn_local, dA, maxm, M, N, nb);
for( d=0; d < num_gpus; d++ ) {
magma_setdevice(d);
magma_queue_sync( stream[d][0] );
magma_queue_sync( stream[d][1] );
magmablasSetKernelStream(NULL);
}
time_set += timer_stop( time );
timer_start( time );
/* == --------------------------------------------------------------- == */
/* == loop around the previous big-panels to update the new big-panel == */
for( offset = 0; offset < min(m,I); offset += NB ) {
NBk = min( m-offset, NB );
/* start sending the first tile from the previous big-panels to gpus */
for( d=0; d < num_gpus; d++ ) {
magma_setdevice(d);
nbi = min( nb, NBk );
magma_dsetmatrix_async( (M-offset), nbi,
A(offset,offset), lda,
dA[d], (maxm-offset), stream[d][0] );
/* make sure the previous update finished */
magmablasSetKernelStream(stream[d][0]);
//magma_queue_sync( stream[d][1] );
magma_queue_wait_event( stream[d][0], event[d][0] );
/* transpose */
magmablas_dtranspose( M-offset, nbi, dA[d], maxm-offset, dPT(d,0,0), nb );
}
/* applying the pivot from the previous big-panel */
for( d=0; d < num_gpus; d++ ) {
magma_setdevice(d);
magmablasSetKernelStream(stream[d][1]);
magmablas_dpermute_long3( dAT(d,0,0), ldn_local, ipiv, NBk, offset );
}
/* == going through each block-column of previous big-panels == */
for( jj=0, ib=offset/nb; jj < NBk; jj += nb, ib++ ) {
ii = offset+jj;
rows = maxm - ii;
nbi = min( nb, NBk-jj );
for( d=0; d < num_gpus; d++ ) {
magma_setdevice(d);
/* wait for a block-column on GPU */
magma_queue_sync( stream[d][0] );
/* start sending next column */
if ( jj+nb < NBk ) {
magma_dsetmatrix_async( (M-ii-nb), min(nb,NBk-jj-nb),
A(ii+nb,ii+nb), lda,
dA[d], (rows-nb), stream[d][0] );
/* make sure the previous update finished */
magmablasSetKernelStream(stream[d][0]);
//magma_queue_sync( stream[d][1] );
magma_queue_wait_event( stream[d][0], event[d][(1+jj/nb)%2] );
/* transpose next column */
magmablas_dtranspose( M-ii-nb, nb, dA[d], rows-nb, dPT(d,0,(1+jj/nb)%2), nb );
}
/* update with the block column */
magmablasSetKernelStream(stream[d][1]);
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
n_local[d], nbi, c_one, dPT(d,0,(jj/nb)%2), nb, dAT(d,ib,0), ldn_local );
if ( M > ii+nb ) {
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
n_local[d], M-(ii+nb), nbi, c_neg_one, dAT(d,ib,0), ldn_local,
dPT(d,1,(jj/nb)%2), nb, c_one, dAT(d,ib+1,0), ldn_local );
}
magma_event_record( event[d][(jj/nb)%2], stream[d][1] );
} /* end of for each block-columns in a big-panel */
}
} /* end of for each previous big-panels */
for( d=0; d < num_gpus; d++ ) {
magma_setdevice(d);
magma_queue_sync( stream[d][0] );
magma_queue_sync( stream[d][1] );
magmablasSetKernelStream(NULL);
}
/* calling magma-gpu interface to panel-factorize the big panel */
if ( M > I ) {
//magma_dgetrf1_mgpu(num_gpus, M-I, N, nb, I, dAT, ldn_local, ipiv+I, dA, A(0,I), lda,
// (magma_queue_t **)stream, &iinfo);
magma_dgetrf2_mgpu(num_gpus, M-I, N, nb, I, dAT, ldn_local, ipiv+I, dA, A(0,I), lda,
stream, &iinfo);
if ( iinfo < 0 ) {
*info = iinfo;
break;
} else if ( iinfo != 0 ) {
*info = iinfo + I * NB;
//break;
}
/* adjust pivots */
for( ii=I; ii < min(I+N,m); ii++ )
ipiv[ii] += I;
}
time_comp += timer_stop( time );
/* download the current big panel to CPU */
timer_start( time );
magmablas_dgetmatrix_transpose_mgpu(num_gpus, stream, dAT, ldn_local, A(0,I), lda, dA, maxm, M, N, nb);
for( d=0; d < num_gpus; d++ ) {
magma_setdevice(d);
magma_queue_sync( stream[d][0] );
magma_queue_sync( stream[d][1] );
magmablasSetKernelStream(NULL);
}
time_get += timer_stop( time );
} /* end of for */
timer_stop( time_total );
flops = FLOPS_DGETRF( m, n ) / 1e9;
timer_printf(" memory-allocation time: %e\n", time_alloc );
timer_printf(" NB=%d nb=%d\n", (int) NB, (int) nb );
timer_printf(" memcopy and transpose %e seconds\n", time_set );
timer_printf(" total time %e seconds\n", time_total );
timer_printf(" Performance %f GFlop/s, %f seconds without htod and dtoh\n", flops / (time_comp), time_comp );
timer_printf(" Performance %f GFlop/s, %f seconds with htod\n", flops / (time_comp + time_set), time_comp + time_set );
timer_printf(" Performance %f GFlop/s, %f seconds with dtoh\n", flops / (time_comp + time_get), time_comp + time_get );
timer_printf(" Performance %f GFlop/s, %f seconds without memory-allocation\n", flops / (time_total - time_alloc), time_total - time_alloc );
for( d=0; d < num_gpus0; d++ ) {
magma_setdevice(d);
magma_free( dA[d] );
magma_event_destroy( event[d][0] );
magma_event_destroy( event[d][1] );
magma_queue_destroy( stream[d][0] );
magma_queue_destroy( stream[d][1] );
magmablasSetKernelStream(NULL);
}
magma_setdevice(0);
}
if ( *info >= 0 ) magma_dgetrf_piv(m, n, NB, A, lda, ipiv, info);
return *info;
} /* magma_dgetrf_m */
/**
Purpose
-------
DGETRF computes an LU factorization of a general M-by-N matrix A
using partial pivoting with row interchanges. This version does not
require work space on the GPU passed as input. GPU memory is allocated
in the routine.
The factorization has the form
A = P * L * U
where P is a permutation matrix, L is lower triangular with unit
diagonal elements (lower trapezoidal if m > n), and U is upper
triangular (upper trapezoidal if m < n).
This is the right-looking Level 3 BLAS version of the algorithm.
It uses 2 queues to overlap communication and computation.
Arguments
---------
@param[in]
m INTEGER
The number of rows of the matrix A. M >= 0.
@param[in]
n INTEGER
The number of columns of the matrix A. N >= 0.
@param[in,out]
A DOUBLE PRECISION array, dimension (LDA,N)
On entry, the M-by-N matrix to be factored.
On exit, the factors L and U from the factorization
A = P*L*U; the unit diagonal elements of L are not stored.
\n
Higher performance is achieved if A is in pinned memory, e.g.
allocated using magma_malloc_pinned.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,M).
@param[out]
ipiv INTEGER array, dimension (min(M,N))
The pivot indices; for 1 <= i <= min(M,N), row i of the
matrix was interchanged with row IPIV(i).
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
or another error occured, such as memory allocation failed.
- > 0: if INFO = i, U(i,i) is exactly zero. The factorization
has been completed, but the factor U is exactly
singular, and division by zero will occur if it is used
to solve a system of equations.
@ingroup magma_dgesv_comp
********************************************************************/
extern "C" magma_int_t
magma_dgetrf(
magma_int_t m, magma_int_t n,
double *A, magma_int_t lda,
magma_int_t *ipiv,
magma_int_t *info)
{
#ifdef HAVE_clBLAS
#define dA(i_, j_) dA, ((i_)*nb + (j_)*nb*ldda + dA_offset)
#define dAT(i_, j_) dAT, ((i_)*nb*lddat + (j_)*nb + dAT_offset)
#define dwork(i_) dwork, (i_)
#else
#define dA(i_, j_) ( dA + (i_)*nb + (j_)*nb*ldda)
#define dAT(i_, j_) ( dAT + (i_)*nb*lddat + (j_)*nb)
#define dwork(i_) (dwork + (i_))
#endif
// Constants
const double c_one = MAGMA_D_ONE;
const double c_neg_one = MAGMA_D_NEG_ONE;
// Local variables
double *work;
magmaDouble_ptr dA, dAT, dwork;
magma_int_t iinfo, nb;
/* Check arguments */
*info = 0;
if (m < 0)
*info = -1;
else if (n < 0)
*info = -2;
else if (lda < max(1,m))
*info = -4;
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
/* Quick return if possible */
if (m == 0 || n == 0)
return *info;
/* Function Body */
nb = magma_get_dgetrf_nb( m, n );
if ( (nb <= 1) || (nb >= min(m,n)) ) {
/* Use CPU code. */
lapackf77_dgetrf( &m, &n, A, &lda, ipiv, info );
}
else {
/* Use hybrid blocked code. */
magma_int_t maxm, maxn, ldda, lddat, maxdim;
magma_int_t i, j, rows, cols, s = min(m, n)/nb;
maxm = magma_roundup( m, 32 );
maxn = magma_roundup( n, 32 );
maxdim = max( maxm, maxn );
lddat = maxn;
ldda = maxm;
/* set number of GPUs */
magma_int_t ngpu = magma_num_gpus();
if ( ngpu > 1 ) {
/* call multi-GPU non-GPU-resident interface */
magma_dgetrf_m( ngpu, m, n, A, lda, ipiv, info );
return *info;
}
magma_queue_t queues[2] = { NULL, NULL };
magma_device_t cdev;
magma_getdevice( &cdev );
magma_queue_create( cdev, &queues[0] );
magma_queue_create( cdev, &queues[1] );
/* check the memory requirement */
size_t mem_size = magma_queue_mem_size( queues[0] );
mem_size /= sizeof(double);
magma_int_t h = 1+(2+ngpu);
magma_int_t ngpu2 = ngpu;
magma_int_t NB = (magma_int_t)(0.8*mem_size/maxm - h*nb);
const char* ngr_nb_char = getenv("MAGMA_NGR_NB");
if ( ngr_nb_char != NULL )
NB = max( nb, min( NB, atoi(ngr_nb_char) ) );
if ( ngpu > ceil((double)NB/nb) ) {
ngpu2 = (magma_int_t)ceil((double)NB/nb);
h = 1+(2+ngpu2);
NB = (magma_int_t)(0.8*mem_size/maxm - h*nb);
}
if ( ngpu2*NB < n ) {
/* require too much memory, so call non-GPU-resident version */
magma_dgetrf_m( ngpu, m, n, A, lda, ipiv, info );
return *info;
}
work = A;
if (maxdim*maxdim < 2*maxm*maxn) {
// if close to square, allocate square matrix and transpose in-place
// dwork is nb*maxm for panel, and maxdim*maxdim for A
if (MAGMA_SUCCESS != magma_dmalloc( &dwork, nb*maxm + maxdim*maxdim )) {
/* alloc failed so call non-GPU-resident version */
magma_dgetrf_m( ngpu, m, n, A, lda, ipiv, info );
return *info;
}
dA = dwork + nb*maxm;
ldda = lddat = maxdim;
magma_dsetmatrix( m, n, A, lda, dA(0,0), ldda, queues[0] );
dAT = dA;
magmablas_dtranspose_inplace( maxdim, dAT(0,0), lddat, queues[0] );
}
else {
// if very rectangular, allocate dA and dAT and transpose out-of-place
// dwork is nb*maxm for panel, and maxm*maxn for A
if (MAGMA_SUCCESS != magma_dmalloc( &dwork, (nb + maxn)*maxm )) {
/* alloc failed so call non-GPU-resident version */
magma_dgetrf_m( ngpu, m, n, A, lda, ipiv, info );
return *info;
}
dA = dwork + nb*maxm;
magma_dsetmatrix( m, n, A, lda, dA(0,0), ldda, queues[0] );
if (MAGMA_SUCCESS != magma_dmalloc( &dAT, maxm*maxn )) {
/* alloc failed so call non-GPU-resident version */
magma_free( dwork );
magma_dgetrf_m( ngpu, m, n, A, lda, ipiv, info );
return *info;
}
magmablas_dtranspose( m, n, dA(0,0), ldda, dAT(0,0), lddat, queues[0] );
}
lapackf77_dgetrf( &m, &nb, work, &lda, ipiv, &iinfo );
for( j = 0; j < s; j++ ) {
// get j-th panel from device
cols = maxm - j*nb;
if (j > 0) {
magmablas_dtranspose( nb, cols, dAT(j,j), lddat, dwork(0), cols, queues[0] );
magma_queue_sync( queues[0] );
magma_dgetmatrix_async( m-j*nb, nb, dwork(0), cols, work, lda, queues[1] );
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
n - (j+1)*nb, nb,
c_one, dAT(j-1,j-1), lddat,
dAT(j-1,j+1), lddat, queues[0] );
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
n-(j+1)*nb, m-j*nb, nb,
c_neg_one, dAT(j-1,j+1), lddat,
dAT(j, j-1), lddat,
c_one, dAT(j, j+1), lddat, queues[0] );
// do the cpu part
rows = m - j*nb;
magma_queue_sync( queues[1] );
lapackf77_dgetrf( &rows, &nb, work, &lda, ipiv+j*nb, &iinfo );
}
if (*info == 0 && iinfo > 0)
*info = iinfo + j*nb;
// put j-th panel onto device
magma_dsetmatrix_async( m-j*nb, nb, work, lda, dwork(0), cols, queues[1] );
for( i=j*nb; i < j*nb + nb; ++i ) {
ipiv[i] += j*nb;
}
magmablas_dlaswp( n, dAT(0,0), lddat, j*nb + 1, j*nb + nb, ipiv, 1, queues[0] );
magma_queue_sync( queues[1] );
magmablas_dtranspose( cols, nb, dwork(0), cols, dAT(j,j), lddat, queues[0] );
// do the small non-parallel computations (next panel update)
if (s > (j+1)) {
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
nb, nb,
c_one, dAT(j, j ), lddat,
dAT(j, j+1), lddat, queues[0] );
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
nb, m-(j+1)*nb, nb,
c_neg_one, dAT(j, j+1), lddat,
dAT(j+1, j ), lddat,
c_one, dAT(j+1, j+1), lddat, queues[0] );
}
else {
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
n-s*nb, nb,
c_one, dAT(j, j ), lddat,
dAT(j, j+1), lddat, queues[0] );
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
n-(j+1)*nb, m-(j+1)*nb, nb,
c_neg_one, dAT(j, j+1), lddat,
dAT(j+1, j ), lddat,
c_one, dAT(j+1, j+1), lddat, queues[0] );
}
}
magma_int_t nb0 = min( m - s*nb, n - s*nb );
if ( nb0 > 0 ) {
rows = m - s*nb;
cols = maxm - s*nb;
magmablas_dtranspose( nb0, rows, dAT(s,s), lddat, dwork(0), cols, queues[0] );
magma_dgetmatrix_async( rows, nb0, dwork(0), cols, work, lda, queues[0] );
magma_queue_sync( queues[0] );
// do the cpu part
lapackf77_dgetrf( &rows, &nb0, work, &lda, ipiv+s*nb, &iinfo );
if (*info == 0 && iinfo > 0)
*info = iinfo + s*nb;
for( i=s*nb; i < s*nb + nb0; ++i ) {
ipiv[i] += s*nb;
}
magmablas_dlaswp( n, dAT(0,0), lddat, s*nb + 1, s*nb + nb0, ipiv, 1, queues[0] );
// put j-th panel onto device
magma_dsetmatrix_async( rows, nb0, work, lda, dwork(0), cols, queues[0] );
magmablas_dtranspose( rows, nb0, dwork(0), cols, dAT(s,s), lddat, queues[0] );
magma_dtrsm( MagmaRight, MagmaUpper, MagmaNoTrans, MagmaUnit,
n-s*nb-nb0, nb0,
c_one, dAT(s, s), lddat,
dAT(s, s)+nb0, lddat, queues[0] );
}
// undo transpose
if (maxdim*maxdim < 2*maxm*maxn) {
magmablas_dtranspose_inplace( maxdim, dAT(0,0), lddat, queues[0] );
magma_dgetmatrix( m, n, dAT(0,0), lddat, A, lda, queues[0] );
}
else {
magmablas_dtranspose( n, m, dAT(0,0), lddat, dA(0,0), ldda, queues[0] );
magma_dgetmatrix( m, n, dA(0,0), ldda, A, lda, queues[0] );
magma_free( dAT );
}
magma_free( dwork );
magma_queue_destroy( queues[0] );
magma_queue_destroy( queues[1] );
}
return *info;
} /* magma_dgetrf */
/**
Purpose
-------
DPOTRF computes the Cholesky factorization of a real symmetric
positive definite matrix dA.
The factorization has the form
dA = U**H * U, if UPLO = MagmaUpper, or
dA = L * L**H, if UPLO = MagmaLower,
where U is an upper triangular matrix and L is lower triangular.
This is the block version of the algorithm, calling Level 3 BLAS.
If the current stream is NULL, this version replaces it with a new
stream to overlap computation with communication.
Arguments
---------
@param[in]
uplo magma_uplo_t
- = MagmaUpper: Upper triangle of dA is stored;
- = MagmaLower: Lower triangle of dA is stored.
@param[in]
n INTEGER
The order of the matrix dA. N >= 0.
@param[in,out]
dA DOUBLE_PRECISION array on the GPU, dimension (LDDA,N)
On entry, the symmetric matrix dA. If UPLO = MagmaUpper, the leading
N-by-N upper triangular part of dA contains the upper
triangular part of the matrix dA, and the strictly lower
triangular part of dA is not referenced. If UPLO = MagmaLower, the
leading N-by-N lower triangular part of dA contains the lower
triangular part of the matrix dA, and the strictly upper
triangular part of dA is not referenced.
\n
On exit, if INFO = 0, the factor U or L from the Cholesky
factorization dA = U**H * U or dA = L * L**H.
@param[in]
ldda INTEGER
The leading dimension of the array dA. LDDA >= max(1,N).
To benefit from coalescent memory accesses LDDA must be
divisible by 16.
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
- > 0: if INFO = i, the leading minor of order i is not
positive definite, and the factorization could not be
completed.
@ingroup magma_dposv_comp
********************************************************************/
extern "C" magma_int_t
magma_dpotrf_gpu(magma_uplo_t uplo, magma_int_t n,
double *dA, magma_int_t ldda, magma_int_t *info)
{
#define dA(i, j) (dA + (j)*ldda + (i))
magma_int_t j, jb, nb;
const char* uplo_ = lapack_uplo_const( uplo );
double c_one = MAGMA_D_ONE;
double c_neg_one = MAGMA_D_NEG_ONE;
double *work;
double d_one = 1.0;
double d_neg_one = -1.0;
int upper = (uplo == MagmaUpper);
*info = 0;
if (! upper && uplo != MagmaLower) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (ldda < max(1,n)) {
*info = -4;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
nb = magma_get_dpotrf_nb(n);
if (MAGMA_SUCCESS != magma_dmalloc_pinned( &work, nb*nb )) {
*info = MAGMA_ERR_HOST_ALLOC;
return *info;
}
/* Define user stream if current stream is NULL */
magma_queue_t stream[2];
magma_queue_t orig_stream;
magmablasGetKernelStream( &orig_stream );
magma_queue_create( &stream[0] );
if (orig_stream == NULL) {
magma_queue_create( &stream[1] );
magmablasSetKernelStream(stream[1]);
}
else {
stream[1] = orig_stream;
}
if ((nb <= 1) || (nb >= n)) {
/* Use unblocked code. */
magma_dgetmatrix_async( n, n, dA, ldda, work, n, stream[1] );
magma_queue_sync( stream[1] );
lapackf77_dpotrf(uplo_, &n, work, &n, info);
magma_dsetmatrix_async( n, n, work, n, dA, ldda, stream[1] );
}
else {
/* Use blocked code. */
if (upper) {
/* Compute the Cholesky factorization A = U'*U. */
for (j=0; j < n; j += nb) {
/* Update and factorize the current diagonal block and test
for non-positive-definiteness. Computing MIN */
jb = min(nb, (n-j));
magma_dsyrk(MagmaUpper, MagmaConjTrans, jb, j,
d_neg_one, dA(0, j), ldda,
d_one, dA(j, j), ldda);
magma_queue_sync( stream[1] );
magma_dgetmatrix_async( jb, jb,
dA(j, j), ldda,
work, jb, stream[0] );
if ( (j+jb) < n) {
/* Compute the current block row. */
magma_dgemm(MagmaConjTrans, MagmaNoTrans,
jb, (n-j-jb), j,
c_neg_one, dA(0, j ), ldda,
dA(0, j+jb), ldda,
c_one, dA(j, j+jb), ldda);
}
magma_queue_sync( stream[0] );
lapackf77_dpotrf(MagmaUpperStr, &jb, work, &jb, info);
magma_dsetmatrix_async( jb, jb,
work, jb,
dA(j, j), ldda, stream[1] );
if (*info != 0) {
*info = *info + j;
break;
}
if ( (j+jb) < n) {
magma_dtrsm( MagmaLeft, MagmaUpper, MagmaConjTrans, MagmaNonUnit,
jb, (n-j-jb),
c_one, dA(j, j ), ldda,
dA(j, j+jb), ldda);
}
}
}
else {
//=========================================================
// Compute the Cholesky factorization A = L*L'.
for (j=0; j < n; j += nb) {
// Update and factorize the current diagonal block and test
// for non-positive-definiteness. Computing MIN
jb = min(nb, (n-j));
magma_dsyrk(MagmaLower, MagmaNoTrans, jb, j,
d_neg_one, dA(j, 0), ldda,
d_one, dA(j, j), ldda);
magma_queue_sync( stream[1] );
magma_dgetmatrix_async( jb, jb,
dA(j, j), ldda,
work, jb, stream[0] );
if ( (j+jb) < n) {
magma_dgemm( MagmaNoTrans, MagmaConjTrans,
(n-j-jb), jb, j,
c_neg_one, dA(j+jb, 0), ldda,
dA(j, 0), ldda,
c_one, dA(j+jb, j), ldda);
}
magma_queue_sync( stream[0] );
lapackf77_dpotrf(MagmaLowerStr, &jb, work, &jb, info);
magma_dsetmatrix_async( jb, jb,
work, jb,
dA(j, j), ldda, stream[1] );
if (*info != 0) {
*info = *info + j;
break;
}
if ( (j+jb) < n) {
magma_dtrsm(MagmaRight, MagmaLower, MagmaConjTrans, MagmaNonUnit,
(n-j-jb), jb,
c_one, dA(j, j), ldda,
dA(j+jb, j), ldda);
}
}
}
}
magma_free_pinned( work );
magma_queue_destroy( stream[0] );
if (orig_stream == NULL) {
magma_queue_destroy( stream[1] );
}
magmablasSetKernelStream( orig_stream );
return *info;
} /* magma_dpotrf_gpu */
/**
Purpose
-------
DSYTRD_HE2HB reduces a real symmetric matrix A to real symmetric
band-diagonal form T by an orthogonal similarity transformation:
Q**H * A * Q = T.
This version stores the triangular matrices T used in the accumulated
Householder transformations (I - V T V').
Arguments
---------
@param[in]
uplo magma_uplo_t
- = MagmaUpper: Upper triangle of A is stored;
- = MagmaLower: Lower triangle of A is stored.
@param[in]
n INTEGER
The order of the matrix A. N >= 0.
@param[in,out]
A DOUBLE_PRECISION array, dimension (LDA,N)
On entry, the symmetric matrix A. If UPLO = MagmaUpper, the leading
N-by-N upper triangular part of A contains the upper
triangular part of the matrix A, and the strictly lower
triangular part of A is not referenced. If UPLO = MagmaLower, the
leading N-by-N lower triangular part of A contains the lower
triangular part of the matrix A, and the strictly upper
triangular part of A is not referenced.
On exit, if UPLO = MagmaUpper, the Upper band-diagonal of A is
overwritten by the corresponding elements of the
band-diagonal matrix T, and the elements above the band
diagonal, with the array TAU, represent the orthogonal
matrix Q as a product of elementary reflectors; if UPLO
= MagmaLower, the the Lower band-diagonal of A is overwritten by
the corresponding elements of the band-diagonal
matrix T, and the elements below the band-diagonal, with
the array TAU, represent the orthogonal matrix Q as a product
of elementary reflectors. See Further Details.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,N).
@param[out]
tau DOUBLE_PRECISION array, dimension (N-1)
The scalar factors of the elementary reflectors (see Further
Details).
@param[out]
work (workspace) DOUBLE_PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK[0] returns the optimal LWORK.
@param[in]
lwork INTEGER
The dimension of the array WORK. LWORK >= 1.
For optimum performance LWORK >= N*NB, where NB is the
optimal blocksize.
\n
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued by XERBLA.
@param[out]
dT DOUBLE_PRECISION array on the GPU, dimension N*NB,
where NB is the optimal blocksize.
On exit dT holds the upper triangular matrices T from the
accumulated Householder transformations (I - V T V') used
in the factorization. The nb x nb matrices T are ordered
consecutively in memory one after another.
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
Further Details
---------------
If UPLO = MagmaUpper, the matrix Q is represented as a product of elementary
reflectors
Q = H(n-1) . . . H(2) H(1).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(i+1:n) = 0 and v(i) = 1; v(1:i-1) is stored on exit in
A(1:i-1,i+1), and tau in TAU(i).
If UPLO = MagmaLower, the matrix Q is represented as a product of elementary
reflectors
Q = H(1) H(2) . . . H(n-1).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(1:i) = 0 and v(i+1) = 1; v(i+2:n) is stored on exit in A(i+2:n,i),
and tau in TAU(i).
The contents of A on exit are illustrated by the following examples
with n = 5:
if UPLO = MagmaUpper: if UPLO = MagmaLower:
( d e v2 v3 v4 ) ( d )
( d e v3 v4 ) ( e d )
( d e v4 ) ( v1 e d )
( d e ) ( v1 v2 e d )
( d ) ( v1 v2 v3 e d )
where d and e denote diagonal and off-diagonal elements of T, and vi
denotes an element of the vector defining H(i).
@ingroup magma_dsyev_2stage
********************************************************************/
extern "C" magma_int_t
magma_dsytrd_sy2sb( magma_uplo_t uplo, magma_int_t n, magma_int_t nb,
double *A, magma_int_t lda,
double *tau,
double *work, magma_int_t lwork,
double *dT,
magma_int_t *info)
{
#define A(a_1,a_2) ( A + ((a_2)-1)*( lda) + (a_1)-1)
#define dA(a_1,a_2) (dA + ((a_2)-1)*(ldda) + (a_1)-1)
#define tau_ref(a_1) (tau + (a_1)-1)
#define dT(a_1) (dT + ((a_1)-1)*(lddt))
int ldda = ((n+31)/32)*32;
int lddt = nb;
double c_neg_one = MAGMA_D_NEG_ONE;
double c_neg_half = MAGMA_D_NEG_HALF;
double c_one = MAGMA_D_ONE;
double c_zero = MAGMA_D_ZERO;
double d_one = MAGMA_D_ONE;
magma_int_t pm, pn, indi, indj, pk;
magma_int_t pm_old=0, pn_old=0, indi_old=0, indj_old=0;
int i;
int lwkopt;
int lquery;
*info = 0;
int upper = (uplo == MagmaUpper);
lquery = (lwork == -1);
if (! upper && uplo != MagmaLower) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (lda < max(1,n)) {
*info = -4;
} else if (lwork < 1 && ! lquery) {
*info = -9;
}
/* Determine the block size. */
lwkopt = n * nb;
if (*info == 0) {
work[0] = MAGMA_D_MAKE( lwkopt, 0 );
}
if (*info != 0)
return *info;
else if (lquery)
return *info;
/* Quick return if possible */
if (n == 0) {
work[0] = c_one;
return *info;
}
magma_queue_t orig_stream;
magmablasGetKernelStream( &orig_stream );
double *dA;
if (MAGMA_SUCCESS != magma_dmalloc( &dA, (n + 2*nb)*ldda )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
// limit to 16 threads
magma_int_t orig_threads = magma_get_lapack_numthreads();
magma_set_lapack_numthreads( min(orig_threads,16) );
/* Use the first panel of dA as work space */
double *dwork = dA + n*ldda;
double *dW = dwork + nb*ldda;
#ifdef TRACING
char buf[80];
#endif
magma_queue_t stream[3];
magma_queue_create( &stream[0] );
magma_queue_create( &stream[1] );
stream[2] = 0; // default stream
trace_init( 1, 1, 3, stream );
double *hT = work + lwork - nb*nb;
lwork -= nb*nb;
memset( hT, 0, nb*nb*sizeof(double));
magmablasSetKernelStream( stream[0] );
magma_event_t Pupdate_event;
cudaEventCreateWithFlags(&Pupdate_event,cudaEventDisableTiming);
//magma_event_create(&Pupdate_event);
if (upper) {
printf("DSYTRD_HE2HB is not yet implemented for upper matrix storage. Exit.\n");
exit(1);
} else {
/* Copy the matrix to the GPU */
if (1 <= n-nb) {
trace_gpu_start( 0, 0, "set", "set A" );
magma_dsetmatrix_async( (n-nb), (n-nb),
A(nb+1, nb+1), lda,
dA(nb+1, nb+1), ldda, stream[0] );
trace_gpu_end( 0, 0 );
}
/* Reduce the lower triangle of A */
for (i = 1; i <= n-nb; i += nb) {
indi = i+nb;
indj = i;
pm = n - i - nb + 1;
//pn = min(i+nb-1, n-nb) -i + 1;
pn = nb;
/* Get the current panel (no need for the 1st iteration) */
if (i > 1 ) {
// dpanel_to_q copy the upper oof diagonal part of
// the matrix to work to be restored later. acctually
// the zero's and one's putted are not used this is only
// because we don't have a function that copy only the
// upper part of A to be restored after copying the
// lookahead panel that has been computted from GPU to CPU.
dpanel_to_q(MagmaUpper, pn-1, A(i, i+1), lda, work);
trace_gpu_start( 0, 1, "get", "get panel" );
//magma_queue_sync( stream[0] );
magma_queue_wait_event(stream[1], Pupdate_event); //, 0);
magma_dgetmatrix_async( (pm+pn), pn,
dA( i, i), ldda,
A ( i, i), lda, stream[1] );
trace_gpu_end( 0, 1 );
trace_gpu_start( 0, 2, "her2k", "her2k" );
magma_dsyr2k(MagmaLower, MagmaNoTrans, pm_old-pn_old, pn_old, c_neg_one,
dA(indi_old+pn_old, indj_old), ldda,
dW + pn_old, pm_old, d_one,
dA(indi_old+pn_old, indi_old+pn_old), ldda);
trace_gpu_end( 0, 2 );
trace_cpu_start( 0, "sync", "sync on 1" );
magma_queue_sync( stream[1] );
trace_cpu_end( 0 );
dq_to_panel(MagmaUpper, pn-1, A(i, i+1), lda, work);
}
/* ==========================================================
QR factorization on a panel starting nb off of the diagonal.
Prepare the V and T matrices.
========================================================== */
#ifdef TRACING
snprintf( buf, sizeof(buf), "panel %d", i );
#endif
trace_cpu_start( 0, "geqrf", buf );
lapackf77_dgeqrf(&pm, &pn, A(indi, indj), &lda,
tau_ref(i), work, &lwork, info);
/* Form the matrix T */
pk=min(pm,pn);
lapackf77_dlarft( MagmaForwardStr, MagmaColumnwiseStr,
&pm, &pk, A(indi, indj), &lda,
tau_ref(i), hT, &nb);
/* Prepare V - put 0s in the upper triangular part of the panel
(and 1s on the diagonal), temporaly storing the original in work */
dpanel_to_q(MagmaUpper, pk, A(indi, indj), lda, work);
trace_cpu_end( 0 );
/* Send V from the CPU to the GPU */
trace_gpu_start( 0, 0, "set", "set V and T" );
magma_dsetmatrix_async( pm, pk,
A(indi, indj), lda,
dA(indi, indj), ldda, stream[0] );
/* Send the triangular factor T to the GPU */
magma_dsetmatrix_async( pk, pk,
hT, nb,
dT(i), lddt, stream[0] );
trace_gpu_end( 0, 0 );
/* ==========================================================
Compute W:
1. X = A (V T)
2. W = X - 0.5* V * (T' * (V' * X))
========================================================== */
/* dwork = V T */
trace_cpu_start( 0, "sync", "sync on 0" );
// this sync is done here to be sure that the copy has been finished
// because below we made a restore dq_to_panel and this restore need
// to ensure that the copy has been finished. we did it here to allow
// overlapp of restore with next gemm and symm.
magma_queue_sync( stream[0] );
trace_cpu_end( 0 );
trace_gpu_start( 0, 2, "gemm", "work = V*T" );
magma_dgemm(MagmaNoTrans, MagmaNoTrans, pm, pk, pk,
c_one, dA(indi, indj), ldda,
dT(i), lddt,
c_zero, dwork, pm);
trace_gpu_end( 0, 2 );
/* dW = X = A*V*T. dW = A*dwork */
trace_gpu_start( 0, 2, "hemm", "X = A*work" );
magma_dsymm(MagmaLeft, uplo, pm, pk,
c_one, dA(indi, indi), ldda,
dwork, pm,
c_zero, dW, pm);
trace_gpu_end( 0, 2 );
/* restore the panel */
dq_to_panel(MagmaUpper, pk, A(indi, indj), lda, work);
/* dwork = V*T already ==> dwork' = T'*V'
* compute T'*V'*X ==> dwork'*W ==>
* dwork + pm*nb = ((T' * V') * X) = dwork' * X = dwork' * W */
trace_gpu_start( 0, 2, "gemm", "work = T'*V'*X" );
magma_dgemm(MagmaConjTrans, MagmaNoTrans, pk, pk, pm,
c_one, dwork, pm,
dW, pm,
c_zero, dwork + pm*nb, nb);
trace_gpu_end( 0, 2 );
/* W = X - 0.5 * V * T'*V'*X
* = X - 0.5 * V * (dwork + pm*nb) = W - 0.5 * V * (dwork + pm*nb) */
trace_gpu_start( 0, 2, "gemm", "W = X - 0.5*V*(T'*V'*X)" );
magma_dgemm(MagmaNoTrans, MagmaNoTrans, pm, pk, pk,
c_neg_half, dA(indi, indj), ldda,
dwork + pm*nb, nb,
c_one, dW, pm);
trace_gpu_end( 0, 2 );
/* ==========================================================
Update the unreduced submatrix A(i+ib:n,i+ib:n), using
an update of the form: A := A - V*W' - W*V'
========================================================== */
if (i + nb <= n-nb) {
/* There would be next iteration;
do lookahead - update the next panel */
trace_gpu_start( 0, 2, "gemm", "gemm 4 next panel left" );
magma_dgemm(MagmaNoTrans, MagmaConjTrans, pm, pn, pn, c_neg_one,
dA(indi, indj), ldda,
dW, pm, c_one,
dA(indi, indi), ldda);
trace_gpu_end( 0, 2 );
trace_gpu_start( 0, 2, "gemm", "gemm 5 next panel right" );
magma_dgemm(MagmaNoTrans, MagmaConjTrans, pm, pn, pn, c_neg_one,
dW, pm,
dA(indi, indj), ldda, c_one,
dA(indi, indi), ldda);
trace_gpu_end( 0, 2 );
magma_event_record(Pupdate_event, stream[0]);
}
else {
/* no look-ahead as this is last iteration */
trace_gpu_start( 0, 2, "her2k", "her2k last iteration" );
magma_dsyr2k(MagmaLower, MagmaNoTrans, pk, pk, c_neg_one,
dA(indi, indj), ldda,
dW, pm, d_one,
dA(indi, indi), ldda);
trace_gpu_end( 0, 2 );
}
indi_old = indi;
indj_old = indj;
pm_old = pm;
pn_old = pn;
} // end loop for (i)
/* Send the last block to the CPU */
pk = min(pm,pn);
if (1 <= n-nb) {
dpanel_to_q(MagmaUpper, pk-1, A(n-pk+1, n-pk+2), lda, work);
trace_gpu_start( 0, 2, "get", "get last block" );
magma_dgetmatrix( pk, pk,
dA(n-pk+1, n-pk+1), ldda,
A(n-pk+1, n-pk+1), lda );
trace_gpu_end( 0, 2 );
dq_to_panel(MagmaUpper, pk-1, A(n-pk+1, n-pk+2), lda, work);
}
}// end of LOWER
trace_finalize( "dsytrd_sy2sb.svg", "trace.css" );
magma_event_destroy( Pupdate_event );
magma_queue_destroy( stream[0] );
magma_queue_destroy( stream[1] );
magma_free( dA );
work[0] = MAGMA_D_MAKE( lwkopt, 0 );
magmablasSetKernelStream( orig_stream );
magma_set_lapack_numthreads( orig_threads );
return *info;
} /* magma_dsytrd_sy2sb */
/**
Purpose
-------
DGETRF_NOPIV_GPU computes an LU factorization of a general M-by-N
matrix A without any pivoting.
The factorization has the form
A = P * L * U
where P is a permutation matrix, L is lower triangular with unit
diagonal elements (lower trapezoidal if m > n), and U is upper
triangular (upper trapezoidal if m < n).
This is the right-looking Level 3 BLAS version of the algorithm.
Arguments
---------
@param[in]
m INTEGER
The number of rows of the matrix A. M >= 0.
@param[in]
n INTEGER
The number of columns of the matrix A. N >= 0.
@param[in,out]
dA DOUBLE_PRECISION array on the GPU, dimension (LDDA,N).
On entry, the M-by-N matrix to be factored.
On exit, the factors L and U from the factorization
A = P*L*U; the unit diagonal elements of L are not stored.
@param[in]
ldda INTEGER
The leading dimension of the array A. LDDA >= max(1,M).
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
or another error occured, such as memory allocation failed.
- > 0: if INFO = i, U(i,i) is exactly zero. The factorization
has been completed, but the factor U is exactly
singular, and division by zero will occur if it is used
to solve a system of equations.
@ingroup magma_dgesv_comp
********************************************************************/
extern "C" magma_int_t
magma_dgetrf_nopiv_gpu(magma_int_t m, magma_int_t n,
double *dA, magma_int_t ldda,
magma_int_t *info)
{
#define dA(i,j) (dA + (i)*nb + (j)*nb*ldda)
double c_one = MAGMA_D_ONE;
double c_neg_one = MAGMA_D_NEG_ONE;
magma_int_t iinfo, nb;
magma_int_t maxm, maxn, mindim;
magma_int_t i, rows, cols, s, lddwork;
double *work;
/* Check arguments */
*info = 0;
if (m < 0)
*info = -1;
else if (n < 0)
*info = -2;
else if (ldda < max(1,m))
*info = -4;
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
/* Quick return if possible */
if (m == 0 || n == 0)
return *info;
/* Function Body */
mindim = min(m, n);
nb = magma_get_dgetrf_nb(m);
s = mindim / nb;
if (nb <= 1 || nb >= min(m,n)) {
/* Use CPU code. */
magma_dmalloc_cpu( &work, m * n );
if ( work == NULL ) {
*info = MAGMA_ERR_HOST_ALLOC;
return *info;
}
magma_dgetmatrix( m, n, dA, ldda, work, m );
magma_dgetrf_nopiv( m, n, work, m, info);
magma_dsetmatrix( m, n, work, m, dA, ldda );
magma_free_cpu(work);
}
else {
/* Use hybrid blocked code. */
maxm = ((m + 31)/32)*32;
maxn = ((n + 31)/32)*32;
lddwork = maxm;
if (MAGMA_SUCCESS != magma_dmalloc_pinned( &work, maxm*nb )) {
*info = MAGMA_ERR_HOST_ALLOC;
return *info;
}
/* Define user stream if current stream is NULL */
cudaStream_t stream[2], current_stream;
magmablasGetKernelStream(¤t_stream);
magma_queue_create( &stream[0] );
if (current_stream == NULL) {
magma_queue_create( &stream[1] );
magmablasSetKernelStream(stream[1]);
}
else {
stream[1] = current_stream;
}
for( i=0; i < s; i++ ) {
// download i-th panel
cols = maxm - i*nb;
magma_queue_sync( stream[1] );
magma_dgetmatrix_async( m-i*nb, nb, dA(i,i), ldda, work, lddwork, stream[0] );
if ( i > 0 ) {
magma_dtrsm( MagmaLeft, MagmaLower, MagmaNoTrans, MagmaUnit,
nb, n - (i+1)*nb,
c_one, dA(i-1,i-1), ldda,
dA(i-1,i+1), ldda );
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
m-i*nb, n-(i+1)*nb, nb,
c_neg_one, dA(i, i-1), ldda, dA(i-1,i+1), ldda,
c_one, dA(i, i+1), ldda );
}
// do the cpu part
rows = m - i*nb;
magma_queue_sync( stream[0] );
magma_dgetrf_nopiv( rows, nb, work, lddwork, &iinfo );
if ( (*info == 0) && (iinfo > 0) )
*info = iinfo + i*nb;
// upload i-th panel
magma_dsetmatrix_async( m-i*nb, nb, work, lddwork, dA(i, i), ldda, stream[0] );
magma_queue_sync( stream[0] );
// do the small non-parallel computations
if ( s > (i+1) ) {
magma_dtrsm( MagmaLeft, MagmaLower, MagmaNoTrans, MagmaUnit,
nb, nb,
c_one, dA(i, i ), ldda,
dA(i, i+1), ldda);
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
m-(i+1)*nb, nb, nb,
c_neg_one, dA(i+1, i ), ldda, dA(i, i+1), ldda,
c_one, dA(i+1, i+1), ldda );
}
else {
magma_dtrsm( MagmaLeft, MagmaLower, MagmaNoTrans, MagmaUnit,
nb, n-s*nb,
c_one, dA(i, i ), ldda,
dA(i, i+1), ldda);
magma_dgemm( MagmaNoTrans, MagmaNoTrans,
m-(i+1)*nb, n-(i+1)*nb, nb,
c_neg_one, dA(i+1, i ), ldda, dA(i, i+1), ldda,
c_one, dA(i+1, i+1), ldda );
}
}
magma_int_t nb0 = min(m - s*nb, n - s*nb);
rows = m - s*nb;
cols = maxm - s*nb;
magma_dgetmatrix( rows, nb0, dA(s,s), ldda, work, lddwork );
// make sure that gpu queue is empty
magma_device_sync();
// do the cpu part
magma_dgetrf_nopiv( rows, nb0, work, lddwork, &iinfo );
if ( (*info == 0) && (iinfo > 0) )
*info = iinfo + s*nb;
// upload i-th panel
magma_dsetmatrix( rows, nb0, work, lddwork, dA(s,s), ldda );
magma_dtrsm( MagmaLeft, MagmaLower, MagmaNoTrans, MagmaUnit,
nb0, n-s*nb-nb0,
c_one, dA(s,s), ldda,
dA(s,s)+nb0, ldda);
magma_free_pinned( work );
magma_queue_destroy( stream[0] );
if (current_stream == NULL) {
magma_queue_destroy( stream[1] );
magmablasSetKernelStream(NULL);
}
}
return *info;
} /* magma_dgetrf_nopiv_gpu */
/**
Purpose
-------
DSYTRD_HE2HB reduces a real symmetric matrix A to real symmetric
band-diagonal form T by an orthogonal similarity transformation:
Q**H * A * Q = T.
This version stores the triangular matrices T used in the accumulated
Householder transformations (I - V T V').
Arguments
---------
@param[in]
uplo magma_uplo_t
- = MagmaUpper: Upper triangle of A is stored;
- = MagmaLower: Lower triangle of A is stored.
@param[in]
n INTEGER
The order of the matrix A. N >= 0.
@param[in,out]
A DOUBLE_PRECISION array, dimension (LDA,N)
On entry, the symmetric matrix A. If UPLO = MagmaUpper, the leading
N-by-N upper triangular part of A contains the upper
triangular part of the matrix A, and the strictly lower
triangular part of A is not referenced. If UPLO = MagmaLower, the
leading N-by-N lower triangular part of A contains the lower
triangular part of the matrix A, and the strictly upper
triangular part of A is not referenced.
On exit, if UPLO = MagmaUpper, the Upper band-diagonal of A is
overwritten by the corresponding elements of the
band-diagonal matrix T, and the elements above the band
diagonal, with the array TAU, represent the orthogonal
matrix Q as a product of elementary reflectors; if UPLO
= MagmaLower, the the Lower band-diagonal of A is overwritten by
the corresponding elements of the band-diagonal
matrix T, and the elements below the band-diagonal, with
the array TAU, represent the orthogonal matrix Q as a product
of elementary reflectors. See Further Details.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,N).
@param[out]
tau DOUBLE_PRECISION array, dimension (N-1)
The scalar factors of the elementary reflectors (see Further
Details).
@param[out]
work (workspace) DOUBLE_PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK[0] returns the optimal LWORK.
@param[in]
lwork INTEGER
The dimension of the array WORK. LWORK >= 1.
For optimum performance LWORK >= N*NB, where NB is the
optimal blocksize.
\n
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued by XERBLA.
@param[out]
dT DOUBLE_PRECISION array on the GPU, dimension N*NB,
where NB is the optimal blocksize.
On exit dT holds the upper triangular matrices T from the
accumulated Householder transformations (I - V T V') used
in the factorization. The nb x nb matrices T are ordered
consecutively in memory one after another.
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
Further Details
---------------
If UPLO = MagmaUpper, the matrix Q is represented as a product of elementary
reflectors
Q = H(n-1) . . . H(2) H(1).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(i+1:n) = 0 and v(i) = 1; v(1:i-1) is stored on exit in
A(1:i-1,i+1), and tau in TAU(i).
If UPLO = MagmaLower, the matrix Q is represented as a product of elementary
reflectors
Q = H(1) H(2) . . . H(n-1).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(1:i) = 0 and v(i+1) = 1; v(i+2:n) is stored on exit in A(i+2:n,i),
and tau in TAU(i).
The contents of A on exit are illustrated by the following examples
with n = 5:
if UPLO = MagmaUpper: if UPLO = MagmaLower:
( d e v2 v3 v4 ) ( d )
( d e v3 v4 ) ( e d )
( d e v4 ) ( v1 e d )
( d e ) ( v1 v2 e d )
( d ) ( v1 v2 v3 e d )
where d and e denote diagonal and off-diagonal elements of T, and vi
denotes an element of the vector defining H(i).
@ingroup magma_dsyev_2stage
********************************************************************/
extern "C" magma_int_t
magma_dsytrd_sy2sb_mgpu(
magma_uplo_t uplo, magma_int_t n, magma_int_t nb,
double *A, magma_int_t lda,
double *tau,
double *work, magma_int_t lwork,
magmaDouble_ptr dAmgpu[], magma_int_t ldda,
magmaDouble_ptr dTmgpu[], magma_int_t lddt,
magma_int_t ngpu, magma_int_t distblk,
magma_queue_t queues[][20], magma_int_t nqueue,
magma_int_t *info)
{
#define A(a_1,a_2) ( A + ((a_2)-1)*( lda) + (a_1)-1)
#define tau_ref(a_1) (tau + (a_1)-1)
#define dT(a_0, a_1, a_2) (dTmgpu[a_0] + ((a_2)-1)*(lddt) + (a_1)-1)
#define dA(a_0, a_1, a_2) (dAmgpu[a_0] + ((a_2)-1)*(ldda) + (a_1)-1)
double c_neg_one = MAGMA_D_NEG_ONE;
double c_neg_half = MAGMA_D_NEG_HALF;
double c_one = MAGMA_D_ONE;
double c_zero = MAGMA_D_ZERO;
double d_one = MAGMA_D_ONE;
magma_int_t pm, pn, indi, indj, pk;
magma_int_t pm_old=0, pn_old=0, indi_old=0, flipV=-1;
magma_int_t iblock, idev, di;
int i;
int lwkopt;
int lquery;
assert (nqueue >= 3);
assert (nqueue >= (ngpu+1));
*info = 0;
int upper = (uplo == MagmaUpper);
lquery = (lwork == -1);
if (! upper && uplo != MagmaLower) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (lda < max(1,n)) {
*info = -4;
} else if (lwork < 1 && ! lquery) {
*info = -9;
}
/* Determine the block size. */
lwkopt = n * nb;
if (*info == 0) {
work[0] = MAGMA_D_MAKE( lwkopt, 0 );
}
if (*info != 0)
return *info;
else if (lquery)
return *info;
/* Quick return if possible */
if (n == 0) {
work[0] = c_one;
return *info;
}
magma_device_t orig_dev;
magma_getdevice( &orig_dev );
magma_queue_t orig_stream;
magmablasGetKernelStream( &orig_stream );
// limit to 16 threads
magma_int_t orig_threads = magma_get_lapack_numthreads();
magma_set_lapack_numthreads( min(orig_threads,16) );
magma_int_t gnode[MagmaMaxGPUs][MagmaMaxGPUs+2];
magma_int_t nbcmplx=0;
magma_buildconnection_mgpu(gnode, &nbcmplx, ngpu);
#ifdef ENABLE_DEBUG
printf(" Initializing communication pattern.... GPU-ncmplx %d\n\n", nbcmplx);
#endif
double *dspace[MagmaMaxGPUs];
double *dwork[MagmaMaxGPUs], *dworkbis[MagmaMaxGPUs];
double *dvall[MagmaMaxGPUs], *dv[MagmaMaxGPUs], *dw[MagmaMaxGPUs];
double *workngpu[MagmaMaxGPUs+1];
magma_event_t redevents[MagmaMaxGPUs][MagmaMaxGPUs*MagmaMaxGPUs+10];
magma_int_t nbevents = MagmaMaxGPUs*MagmaMaxGPUs;
magma_int_t lddv = ldda;
magma_int_t lddw = lddv;
magma_int_t dwrk2siz = ldda*nb*(ngpu+1);
magma_int_t worksiz = n*nb;
magma_int_t devworksiz = 2*nb*lddv + nb*lddw + nb*ldda + dwrk2siz; // 2*dv(dv0+dv1) + dw + dwork +dworkbis
// local allocation and stream creation
// TODO check malloc
for( magma_int_t dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
magma_dmalloc( &dspace[dev], devworksiz );
magma_dmalloc_pinned ( &workngpu[dev], worksiz);
dvall[dev] = dspace[dev];
dw[dev] = dvall[dev] + 2*nb*lddv;
dwork[dev] = dw[dev] + nb*lddw;
dworkbis[dev] = dwork[dev] + nb*ldda;
magmablasSetKernelStream( queues[ dev ][ 0 ] );
for( magma_int_t i = 0; i < nbevents; ++i ) {
cudaEventCreateWithFlags(&redevents[dev][i],cudaEventDisableTiming);
}
}
magma_dmalloc_pinned ( &workngpu[ngpu], worksiz);
double *worktest = NULL;
//magma_dmalloc_cpu( &worktest, n*nb ); // not used
// ======================
double *hT = work + lwork - nb*nb;
lwork -= nb*nb;
memset( hT, 0, nb*nb*sizeof(double));
if (upper) {
printf("DSYTRD_HE2HB is not yet implemented for upper matrix storage. Exit.\n");
exit(1);
} else {
/* Reduce the lower triangle of A */
for (i = 1; i <= n-nb; i += nb) {
indi = i+nb;
indj = i;
pm = n - i - nb + 1;
//pn = min(i+nb-1, n-nb) -i + 1;
pn = nb;
/* Get the current panel (no need for the 1st iteration) */
if (i > 1 ) {
// dpanel_to_q copy the upper oof diagonal part of
// the matrix to work to be restored later. acctually
// the zero's and one's putted are not used this is only
// because we don't have a function that copy only the
// upper part of A to be restored after copying the
// lookahead panel that has been computted from GPU to CPU.
dpanel_to_q(MagmaUpper, pn-1, A(i, i+1), lda, work);
// find the device who own the panel then send it to the CPU.
// below a -1 was added and then a -1 was done on di because of the fortran indexing
iblock = ((i-1) / distblk) / ngpu; // local block id
di = iblock*distblk + (i-1)%distblk; // local index in parent matrix
idev = ((i-1) / distblk) % ngpu; // device with this block
//printf("Receiving panel ofsize %d %d from idev %d A(%d,%d) \n",(pm+pn), pn,idev,i-1,di);
magma_setdevice( idev );
//magma_device_sync();
magma_dgetmatrix_async( (pm+pn), pn,
dA(idev, i, di+1), ldda,
A( i, i), lda, queues[ idev ][ nqueue-1 ] );
//magma_setdevice( 0 );
//printf("updating dsyr2k on A(%d,%d) of size %d %d \n",indi_old+pn_old-1,indi_old+pn_old-1,pm_old-pn_old,pn_old);
// compute DSYR2K_MGPU
magmablas_dsyr2k_mgpu2(
MagmaLower, MagmaNoTrans, pm_old-pn_old, pn_old,
c_neg_one, dv, pm_old, pn_old,
dw, pm_old, pn_old,
d_one, dAmgpu, ldda, indi_old+pn_old-1,
ngpu, distblk, queues, 2 );
//magma_setdevice( 0 );
magma_setdevice( idev );
magma_queue_sync( queues[idev][ nqueue-1 ] );
//magma_setdevice( 0 );
dq_to_panel(MagmaUpper, pn-1, A(i, i+1), lda, work);
}
/* ==========================================================
QR factorization on a panel starting nb off of the diagonal.
Prepare the V and T matrices.
========================================================== */
lapackf77_dgeqrf(&pm, &pn, A(indi, indj), &lda,
tau_ref(i), work, &lwork, info);
/* Form the matrix T */
pk=min(pm,pn);
lapackf77_dlarft( MagmaForwardStr, MagmaColumnwiseStr,
&pm, &pk, A(indi, indj), &lda,
tau_ref(i), hT, &nb);
/* Prepare V - put 0s in the upper triangular part of the panel
(and 1s on the diagonal), temporaly storing the original in work */
dpanel_to_q(MagmaUpper, pk, A(indi, indj), lda, work);
/* Send V and T from the CPU to the GPU */
// To be able to overlap the GET with the DSYR2K
// it should be done on last stream.
// TO Avoid a BUG that is overwriting the old_V
// used atthis moment by dsyr2k with the new_V
// send it now, we decide to have a flipflop
// vector of Vs. if step%2=0 use V[0] else use V[nb*n]
flipV = ((i-1)/nb)%2;
for( magma_int_t dev = 0; dev < ngpu; ++dev ) {
dv[dev] = dvall[dev] + flipV*nb*lddv;
}
for( magma_int_t dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
// send V
magma_dsetmatrix_async( pm, pk,
A(indi, indj), lda,
dv[dev], pm, queues[dev][nqueue-1] );
// Send the triangular factor T to the GPU
magma_dsetmatrix_async( pk, pk,
hT, nb,
dT(dev, 1, i), lddt, queues[dev][nqueue-1] );
}
/* ==========================================================
Compute W:
1. X = A (V T)
2. W = X - 0.5* V * (T' * (V' * X))
========================================================== */
for( magma_int_t dev = 0; dev < ngpu; ++dev ) {
// dwork = V T
magma_setdevice( dev );
magmablasSetKernelStream( queues[ dev ][ nqueue-1 ] );
magma_queue_sync( queues[dev][nqueue-1] );
magma_dgemm(MagmaNoTrans, MagmaNoTrans, pm, pk, pk,
c_one, dv[dev], pm,
dT(dev, 1, i), lddt,
c_zero, dwork[dev], pm);
}
// ===============================================
// SYNC TO BE SURE THAT BOTH V AND T WERE
// RECEIVED AND VT IS COMPUTED and SYR2K is done
// ===============================================
for( magma_int_t dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
for( magma_int_t s = 0; s < nqueue; ++s )
magma_queue_sync( queues[dev][s] );
}
// compute DSYMM_MGPU
// The broadcast of the result done inside this function
// should be done in stream [0] because i am assuming this
// for the GEMMs below otherwise I have to SYNC over the
// Broadcasting stream.
if (ngpu == 1) {
magmablasSetKernelStream( queues[ 0 ][ 0 ] );
magma_dsymm(MagmaLeft, uplo, pm, pk,
c_one, dAmgpu[0]+(indi-1)*ldda+(indi-1), ldda,
dwork[0], pm,
c_zero, dw[0], pm);
} else {
magmablas_dsymm_mgpu_com(
MagmaLeft, uplo, pm, pk,
c_one, dAmgpu, ldda, indi-1,
dwork, pm,
c_zero, dw, pm, dworkbis, dwrk2siz, worktest, pm, workngpu, worksiz,
ngpu, distblk, queues, nqueue-1, redevents, nbevents, gnode, nbcmplx);
}
/* dwork = V*T already ==> dwork' = T'*V'
* compute T'*V'*X ==> dwork'*W ==>
* dwork + pm*nb = ((T' * V') * X) = dwork' * X = dwork' * W */
for( magma_int_t dev = 0; dev < ngpu; ++dev ) {
// Here we have to wait until the broadcast of DSYMM has been done.
// Note that the broadcast should be done on stream[0] so in a way
// we can continue here on the same stream and avoid a sync
magma_setdevice( dev );
magmablasSetKernelStream( queues[ dev ][ 0 ] );
// magma_queue_sync( queues[dev][0] );
magma_dgemm(MagmaConjTrans, MagmaNoTrans, pk, pk, pm,
c_one, dwork[dev], pm,
dw[dev], pm,
c_zero, dworkbis[dev], nb);
/* W = X - 0.5 * V * T'*V'*X
* = X - 0.5 * V * (dwork + pm*nb) = W - 0.5 * V * (dwork + pm*nb) */
magma_dgemm(MagmaNoTrans, MagmaNoTrans, pm, pk, pk,
c_neg_half, dv[dev], pm,
dworkbis[dev], nb,
c_one, dw[dev], pm);
}
/* restore the panel it is put here to overlap with the previous GEMM*/
dq_to_panel(MagmaUpper, pk, A(indi, indj), lda, work);
// ===============================================
// SYNC TO BE SURE THAT BOTH V AND W ARE DONE
// ===============================================
// Synchronise to be sure that W has been computed
// because next DSYR2K use streaming and may happen
// that lunch a gemm on stream 2 while stream 0
// which compute those 2 GEMM above has not been
// computed and also used for the same reason in
// the panel update below and also for the last HER2K
for( magma_int_t dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
magma_queue_sync( queues[dev][0] );
}
/* ==========================================================
Update the unreduced submatrix A(i+ib:n,i+ib:n), using
an update of the form: A := A - V*W' - W*V'
========================================================== */
if (i + nb <= n-nb) {
/* There would be next iteration;
do lookahead - update the next panel */
// below a -1 was added and then a -1 was done on di because of the fortran indexing
iblock = ((indi-1) / distblk) / ngpu; // local block id
di = iblock*distblk + (indi-1)%distblk; // local index in parent matrix
idev = ((indi-1) / distblk) % ngpu; // device with this block
magma_setdevice( idev );
magmablasSetKernelStream( queues[ idev ][ nqueue-1 ] );
//magma_queue_sync( queues[idev][0] ); removed because the sync has been done in the loop above
magma_dgemm(MagmaNoTrans, MagmaConjTrans, pm, pn, pn, c_neg_one,
dv[idev], pm,
dw[idev], pm, c_one,
dA(idev, indi, di+1), ldda);
magma_dgemm(MagmaNoTrans, MagmaConjTrans, pm, pn, pn, c_neg_one,
dw[idev], pm,
dv[idev], pm, c_one,
dA(idev, indi, di+1), ldda);
//printf("updating next panel distblk %d idev %d on A(%d,%d) of size %d %d %d \n",distblk,idev,indi-1,di,pm,pn,pn);
}
else {
/* no look-ahead as this is last iteration */
// below a -1 was added and then a -1 was done on di because of the fortran indexing
iblock = ((indi-1) / distblk) / ngpu; // local block id
di = iblock*distblk + (indi-1)%distblk; // local index in parent matrix
idev = ((indi-1) / distblk) % ngpu; // device with this block
magma_setdevice( idev );
magmablasSetKernelStream( queues[ idev ][ 0 ] );
//printf("LAST DSYR2K idev %d on A(%d,%d) of size %d \n",idev, indi-1,di,pk);
magma_dsyr2k(MagmaLower, MagmaNoTrans, pk, pk, c_neg_one,
dv[idev], pm,
dw[idev], pm, d_one,
dA(idev, indi, di+1), ldda);
/* Send the last block to the CPU */
dpanel_to_q(MagmaUpper, pk-1, A(n-pk+1, n-pk+2), lda, work);
magma_dgetmatrix( pk, pk,
dA(idev, indi, di+1), ldda,
A(n-pk+1, n-pk+1), lda );
dq_to_panel(MagmaUpper, pk-1, A(n-pk+1, n-pk+2), lda, work);
}
indi_old = indi;
//indj_old = indj;
pm_old = pm;
pn_old = pn;
} // end loop for (i)
}// end of LOWER
//magma_setdevice( 0 );
for( magma_int_t dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
magma_free( dspace[dev]);
magma_free_pinned(workngpu[dev]);
for( magma_int_t e = 0; e < nbevents; ++e ) {
magma_event_destroy( redevents[dev][e] );
}
}
magma_free_pinned(workngpu[ngpu]);
magma_free_cpu(worktest);
magma_setdevice( orig_dev );
magmablasSetKernelStream( orig_stream );
magma_set_lapack_numthreads( orig_threads );
work[0] = MAGMA_D_MAKE( lwkopt, 0 );
return *info;
} /* magma_dsytrd_sy2sb_mgpu */
extern "C" magma_int_t
magma_dormqr_m(magma_int_t nrgpu, char side, char trans,
magma_int_t m, magma_int_t n, magma_int_t k,
double *a, magma_int_t lda,
double *tau,
double *c, magma_int_t ldc,
double *work, magma_int_t lwork,
magma_int_t *info)
{
/* -- MAGMA (version 1.4.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
December 2013
Purpose
=======
DORMQR overwrites the general real M-by-N matrix C with
SIDE = 'L' SIDE = 'R'
TRANS = 'N': Q * C C * Q
TRANS = 'T': Q**T * C C * Q**T
where Q is a real orthogonal matrix defined as the product of k
elementary reflectors
Q = H(1) H(2) . . . H(k)
as returned by DGEQRF. Q is of order M if SIDE = 'L' and of order N
if SIDE = 'R'.
Arguments
=========
SIDE (input) CHARACTER*1
= 'L': apply Q or Q**T from the Left;
= 'R': apply Q or Q**T from the Right.
TRANS (input) CHARACTER*1
= 'N': No transpose, apply Q;
= 'T': Transpose, apply Q**T.
M (input) INTEGER
The number of rows of the matrix C. M >= 0.
N (input) INTEGER
The number of columns of the matrix C. N >= 0.
K (input) INTEGER
The number of elementary reflectors whose product defines
the matrix Q.
If SIDE = 'L', M >= K >= 0;
if SIDE = 'R', N >= K >= 0.
A (input) DOUBLE_PRECISION array, dimension (LDA,K)
The i-th column must contain the vector which defines the
elementary reflector H(i), for i = 1,2,...,k, as returned by
DGEQRF in the first k columns of its array argument A.
LDA (input) INTEGER
The leading dimension of the array A.
If SIDE = 'L', LDA >= max(1,M);
if SIDE = 'R', LDA >= max(1,N).
TAU (input) DOUBLE_PRECISION array, dimension (K)
TAU(i) must contain the scalar factor of the elementary
reflector H(i), as returned by DGEQRF.
C (input/output) DOUBLE_PRECISION array, dimension (LDC,N)
On entry, the M-by-N matrix C.
On exit, C is overwritten by Q*C or Q**T*C or C*Q**T or C*Q.
LDC (input) INTEGER
The leading dimension of the array C. LDC >= max(1,M).
WORK (workspace/output) DOUBLE_PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK(0) returns the optimal LWORK.
LWORK (input) INTEGER
The dimension of the array WORK.
If SIDE = 'L', LWORK >= max(1,N);
if SIDE = 'R', LWORK >= max(1,M).
For optimum performance LWORK >= N*NB if SIDE = 'L', and
LWORK >= M*NB if SIDE = 'R', where NB is the optimal
blocksize.
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued by XERBLA.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
===================================================================== */
double c_one = MAGMA_D_ONE;
char side_[2] = {side, 0};
char trans_[2] = {trans, 0};
magma_int_t nb = 128;
double *t ;
magma_dmalloc_pinned (&t, nb*nb);
//printf("calling dormqr_m with nb=%d\n", (int) nb);
double* dw[MagmaMaxGPUs];
magma_queue_t stream [MagmaMaxGPUs][2];
magma_event_t event [MagmaMaxGPUs][2];
magma_int_t ind_c;
magma_int_t igpu = 0;
int gpu_b;
magma_getdevice(&gpu_b);
*info = 0;
magma_int_t left = lapackf77_lsame(side_, "L");
magma_int_t notran = lapackf77_lsame(trans_, "N");
magma_int_t lquery = (lwork == -1);
/* NQ is the order of Q and NW is the minimum dimension of WORK */
magma_int_t nq, nw;
if (left) {
nq = m;
nw = n;
} else {
nq = n;
nw = m;
}
if (! left && ! lapackf77_lsame(side_, "R")) {
*info = -1;
} else if (! notran && ! lapackf77_lsame(trans_, "T")) {
*info = -2;
} else if (m < 0) {
*info = -3;
} else if (n < 0) {
*info = -4;
} else if (k < 0 || k > nq) {
*info = -5;
} else if (lda < max(1,nq)) {
*info = -7;
} else if (ldc < max(1,m)) {
*info = -10;
} else if (lwork < max(1,nw) && ! lquery) {
*info = -12;
}
magma_int_t lwkopt = max(1,nw) * nb;
if (*info == 0)
{
work[0] = MAGMA_D_MAKE( lwkopt, 0 );
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
else if (lquery) {
return *info;
}
/* Quick return if possible */
if (m == 0 || n == 0 || k == 0) {
work[0] = c_one;
return *info;
}
if (nb >= k)
{
/* Use CPU code */
lapackf77_dormqr(side_, trans_, &m, &n, &k, a, &lda, tau,
c, &ldc, work, &lwork, info);
return *info;
}
magma_int_t lddc = (m+63)/64*64;
magma_int_t lddac = nq;
magma_int_t lddar = nb;
magma_int_t lddwork = nw;
magma_int_t nlocal[ MagmaMaxGPUs ] = { 0 };
magma_int_t nb_l=256;
magma_int_t nbl = (n-1)/nb_l+1; // number of blocks
magma_int_t maxnlocal = (nbl+nrgpu-1)/nrgpu*nb_l;
nrgpu = min(nrgpu, (n+nb_l-1)/nb_l); // Don't use GPU that will not have data.
magma_int_t ldw = maxnlocal*lddc // dC
+ 2*lddac*lddar // 2*dA
+ 2*(nb + 1 + lddwork)*nb; // 2*(dT and dwork)
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
if (MAGMA_SUCCESS != magma_dmalloc( &dw[igpu], ldw)) {
magma_xerbla( __func__, -(*info) );
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
magma_queue_create( &stream[igpu][0] );
magma_queue_create( &stream[igpu][1] );
magma_event_create( &event[igpu][0] );
magma_event_create( &event[igpu][1] );
}
/* Use hybrid CPU-MGPU code */
if (left) {
//copy C to mgpus
for (magma_int_t i = 0; i < nbl; ++i){
magma_int_t igpu = i%nrgpu;
magma_setdevice(igpu);
magma_int_t kb = min(nb_l, n-i*nb_l);
magma_dsetmatrix_async( m, kb,
C(0, i*nb_l), ldc,
dC(igpu, 0, i/nrgpu*nb_l), lddc, stream[igpu][0] );
nlocal[igpu] += kb;
}
magma_int_t i1, i2, i3;
if ( !notran ) {
i1 = 0;
i2 = k;
i3 = nb;
} else {
i1 = (k - 1) / nb * nb;
i2 = 0;
i3 = -nb;
}
ind_c = 0;
for (magma_int_t i = i1; (i3 < 0 ? i >= i2 : i < i2); i += i3)
{
// start the copy of A panel
magma_int_t kb = min(nb, k - i);
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magma_event_sync(event[igpu][ind_c]); // check if the new data can be copied
magma_dsetmatrix_async(nq-i, kb,
A(i, i), lda,
dA_c(igpu, ind_c, i, 0), lddac, stream[igpu][0] );
// Put 0s in the upper triangular part of dA;
magmablas_dsetdiag1subdiag0_stream('L', kb, kb, dA_c(igpu, ind_c, i, 0), lddac, stream[igpu][0]);
}
/* Form the triangular factor of the block reflector
H = H(i) H(i+1) . . . H(i+ib-1) */
magma_int_t nqi = nq - i;
lapackf77_dlarft("F", "C", &nqi, &kb, A(i, i), &lda,
&tau[i], t, &kb);
/* H or H' is applied to C(1:m,i:n) */
/* Apply H or H'; First copy T to the GPU */
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magma_dsetmatrix_async(kb, kb,
t, kb,
dt(igpu, ind_c), kb, stream[igpu][0] );
}
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magma_queue_sync( stream[igpu][0] ); // check if the data was copied
magmablasSetKernelStream(stream[igpu][1]);
magma_dlarfb_gpu( side, trans, MagmaForward, MagmaColumnwise,
m-i, nlocal[igpu], kb,
dA_c(igpu, ind_c, i, 0), lddac, dt(igpu, ind_c), kb,
dC(igpu, i, 0), lddc,
dwork(igpu, ind_c), lddwork);
magma_event_record(event[igpu][ind_c], stream[igpu][1] );
}
ind_c = (ind_c+1)%2;
}
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magma_queue_sync( stream[igpu][1] );
}
//copy C from mgpus
for (magma_int_t i = 0; i < nbl; ++i){
magma_int_t igpu = i%nrgpu;
magma_setdevice(igpu);
magma_int_t kb = min(nb_l, n-i*nb_l);
magma_dgetmatrix( m, kb,
dC(igpu, 0, i/nrgpu*nb_l), lddc,
C(0, i*nb_l), ldc );
// magma_dgetmatrix_async( m, kb,
// dC(igpu, 0, i/nrgpu*nb_l), lddc,
// C(0, i*nb_l), ldc, stream[igpu][0] );
}
} else {
fprintf(stderr, "The case (side == right) is not implemented\n");
magma_xerbla( __func__, 1 );
return *info;
/*
if ( notran ) {
i1 = 0;
i2 = k;
i3 = nb;
} else {
i1 = (k - 1) / nb * nb;
i2 = 0;
i3 = -nb;
}
mi = m;
ic = 0;
for (i = i1; (i3 < 0 ? i >= i2 : i < i2); i += i3)
{
ib = min(nb, k - i);
// Form the triangular factor of the block reflector
// H = H(i) H(i+1) . . . H(i+ib-1)
i__4 = nq - i;
lapackf77_dlarft("F", "C", &i__4, &ib, A(i, i), &lda,
&tau[i], t, &ib);
// 1) copy the panel from A to the GPU, and
// 2) Put 0s in the upper triangular part of dA;
magma_dsetmatrix( i__4, ib, A(i, i), lda, dA(i, 0), ldda );
magmablas_dsetdiag1subdiag0('L', ib, ib, dA(i, 0), ldda);
// H or H' is applied to C(1:m,i:n)
ni = n - i;
jc = i;
// Apply H or H'; First copy T to the GPU
magma_dsetmatrix( ib, ib, t, ib, dt, ib );
magma_dlarfb_gpu( side, trans, MagmaForward, MagmaColumnwise,
mi, ni, ib,
dA(i, 0), ldda, dt, ib,
dC(ic, jc), lddc,
dwork, lddwork);
}
*/
}
work[0] = MAGMA_D_MAKE( lwkopt, 0 );
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magmablasSetKernelStream(NULL);
magma_event_destroy( event[igpu][0] );
magma_event_destroy( event[igpu][1] );
magma_queue_destroy( stream[igpu][0] );
magma_queue_destroy( stream[igpu][1] );
magma_free( dw[igpu] );
}
magma_setdevice(gpu_b);
return *info;
} /* magma_dormqr */
/**
Purpose
-------
DPOTRF_OOC computes the Cholesky factorization of a real symmetric
positive definite matrix A. This version does not require work
space on the GPU passed as input. GPU memory is allocated in the
routine. The matrix A may exceed the GPU memory.
The factorization has the form
A = U**H * U, if UPLO = MagmaUpper, or
A = L * L**H, if UPLO = MagmaLower,
where U is an upper triangular matrix and L is lower triangular.
This is the block version of the algorithm, calling Level 3 BLAS.
Arguments
---------
@param[in]
ngpu INTEGER
Number of GPUs to use. ngpu > 0.
@param[in]
uplo magma_uplo_t
- = MagmaUpper: Upper triangle of A is stored;
- = MagmaLower: Lower triangle of A is stored.
@param[in]
n INTEGER
The order of the matrix A. N >= 0.
@param[in,out]
A DOUBLE_PRECISION array, dimension (LDA,N)
On entry, the symmetric matrix A. If UPLO = MagmaUpper, the leading
N-by-N upper triangular part of A contains the upper
triangular part of the matrix A, and the strictly lower
triangular part of A is not referenced. If UPLO = MagmaLower, the
leading N-by-N lower triangular part of A contains the lower
triangular part of the matrix A, and the strictly upper
triangular part of A is not referenced.
\n
On exit, if INFO = 0, the factor U or L from the Cholesky
factorization A = U**H * U or A = L * L**H.
\n
Higher performance is achieved if A is in pinned memory, e.g.
allocated using magma_malloc_pinned.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,N).
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
or another error occured, such as memory allocation failed.
- > 0: if INFO = i, the leading minor of order i is not
positive definite, and the factorization could not be
completed.
@ingroup magma_dposv_comp
********************************************************************/
extern "C" magma_int_t
rr_dpotrf_m(
magma_int_t ngpu,
magma_uplo_t uplo, magma_int_t n,
double *A, magma_int_t lda,
magma_int_t *info)
{
#define A(i, j) ( A + (j)*lda + (i))
#define dA(d, i, j) (dwork[(d)] + (j)*lddla + (i))
#define dT(d, i, j) ( dt[(d)] + (j)*ldda + (i))
#define dAup(d, i, j) (dwork[(d)] + (j)*NB + (i))
#define dTup(d, i, j) ( dt[(d)] + (j)*nb + (i))
/* Local variables */
double d_one = 1.0;
double d_neg_one = -1.0;
double c_one = MAGMA_D_ONE;
double c_neg_one = MAGMA_D_NEG_ONE;
const char* uplo_ = lapack_uplo_const( uplo );
int upper = (uplo == MagmaUpper);
double *dwork[MagmaMaxGPUs], *dt[MagmaMaxGPUs];
magma_int_t ldda, lddla, nb, iinfo, n_local[MagmaMaxGPUs], J2, d, ngpu0 = ngpu;
magma_int_t j, jj, jb, J, JB, NB, h;
magma_queue_t stream[MagmaMaxGPUs][3];
magma_event_t event[MagmaMaxGPUs][5];
magma_timer_t time_total=0, time_sum=0, time=0;
*info = 0;
if (! upper && uplo != MagmaLower) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (lda < max(1,n)) {
*info = -4;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
/* Quick return */
if ( n == 0 )
return *info;
magma_device_t orig_dev;
magma_getdevice( &orig_dev );
magma_queue_t orig_stream;
magmablasGetKernelStream( &orig_stream );
nb = magma_get_dpotrf_nb(n);
if ( ngpu0 > n/nb ) {
ngpu = n/nb;
if ( n%nb != 0 ) ngpu ++;
} else {
ngpu = ngpu0;
}
//ldda = ((n+31)/32)*32;
ldda = ((n+nb-1)/nb)*nb;
lddla = ((nb*((n+nb*ngpu-1)/(nb*ngpu))+31)/32)*32;
/* figure out NB */
size_t freeMem, totalMem;
cudaMemGetInfo( &freeMem, &totalMem );
freeMem /= sizeof(double);
//MB = n; /* number of rows in the big panel */
NB = (magma_int_t)((0.8*freeMem - max(2,ngpu)*nb*ldda - (n+nb)*nb)/lddla); /* number of columns in the big panel */
//NB = min(5*nb,n);
if ( NB >= n ) {
#ifdef CHECK_DPOTRF_OOC
printf( " * still fits in GPU memory.\n" );
#endif
NB = n;
} else {
#ifdef CHECK_DPOTRF_OOC
printf( " * doesn't fit in GPU memory.\n" );
#endif
NB = (NB/nb) * nb; /* making sure it's devisable by nb */
}
#ifdef CHECK_DPOTRF_OOC
if ( NB != n ) printf( " * running in out-core mode (n=%d, NB=%d, nb=%d, lddla=%d, freeMem=%.2e).\n", n, NB, nb, lddla, (double)freeMem );
else printf( " * running in in-core mode (n=%d, NB=%d, nb=%d, lddla=%d, freeMem=%.2e).\n", n, NB, nb, lddla, (double)freeMem );
fflush(stdout);
#endif
for (d=0; d < ngpu; d++ ) {
magma_setdevice(d);
if (MAGMA_SUCCESS != magma_dmalloc( &dt[d], NB*lddla + max(2,ngpu)*nb*ldda )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
dwork[d] = &dt[d][max(2,ngpu)*nb*ldda];
for( j=0; j < 3; j++ )
magma_queue_create( &stream[d][j] );
for( j=0; j < 5; j++ )
magma_event_create( &event[d][j] );
magma_device_sync(); // synch the device
}
magma_setdevice(0);
timer_start( time_total );
if (nb <= 1 || nb >= n) {
lapackf77_dpotrf(uplo_, &n, A, &lda, info);
} else {
/* Use hybrid blocked code. */
if (upper) {
/* =========================================================== *
* Compute the Cholesky factorization A = U'*U. *
* big panel is divided by block-row and distributed in block *
* column cyclic format */
/* for each big-panel */
for( J=0; J < n; J += NB ) {
JB = min(NB,n-J);
if ( ngpu0 > (n-J)/nb ) {
ngpu = (n-J)/nb;
if ( (n-J)%nb != 0 ) ngpu ++;
} else {
ngpu = ngpu0;
}
/* load the new big-panel by block-rows */
magma_dhtodpo( ngpu, uplo, JB, n, J, J, nb, A, lda, dwork, NB, stream, &iinfo);
/* update with the previous big-panels */
timer_start( time );
for( j=0; j < J; j += nb ) {
/* upload the diagonal of the block column (broadcast to all GPUs) */
for( d=0; d < ngpu; d++ ) {
magma_setdevice(d);
magma_dsetmatrix_async( nb, JB,
A(j, J), lda,
dTup(d, 0, J), nb,
stream[d][0] );
n_local[d] = 0;
}
/* distribute off-diagonal blocks to GPUs */
for( jj=J+JB; jj < n; jj += nb ) {
d = ((jj-J)/nb)%ngpu;
magma_setdevice(d);
jb = min(nb, n-jj);
magma_dsetmatrix_async( nb, jb,
A(j, jj), lda,
dTup(d, 0, J+JB+n_local[d]), nb,
stream[d][0] );
n_local[d] += jb;
}
/* wait for the communication */
for( d=0; d < ngpu; d++ ) {
magma_setdevice(d);
magma_queue_sync( stream[d][0] );
}
/* update the current big-panel using the previous block-row */
/* -- process the big diagonal block of the big panel */
for( jj=0; jj < JB; jj += nb ) { // jj is 'local' column index within the big panel
d = (jj/nb)%ngpu;
J2 = jj/(nb*ngpu);
magma_setdevice(d);
magmablasSetKernelStream(stream[d][J2%2]); // the last stream (2) used to process off-diagonal
J2 = nb*J2;
jb = min(nb,JB-jj); // number of columns in this current block-row
magma_dgemm( MagmaConjTrans, MagmaNoTrans,
jj, jb, nb,
c_neg_one, dTup(d, 0, J ), nb,
dTup(d, 0, J+jj), nb,
c_one, dAup(d, 0, J2), NB);
magma_dsyrk(MagmaUpper, MagmaConjTrans, jb, nb,
d_neg_one, dTup(d, 0, J+jj), nb,
d_one, dAup(d, jj, J2), NB);
}
/* -- process the remaining big off-diagonal block of the big panel */
if ( n > J+JB ) {
for( d=0; d < ngpu; d++ ) {
magma_setdevice(d);
magmablasSetKernelStream(stream[d][2]);
/* local number of columns in the big panel */
n_local[d] = ((n-J)/(nb*ngpu))*nb;
if (d < ((n-J)/nb)%ngpu)
n_local[d] += nb;
else if (d == ((n-J)/nb)%ngpu)
n_local[d] += (n-J)%nb;
/* subtracting the local number of columns in the diagonal */
J2 = nb*(JB/(nb*ngpu));
if ( d < (JB/nb)%ngpu )
J2 += nb;
n_local[d] -= J2;
magma_dgemm( MagmaConjTrans, MagmaNoTrans,
JB, n_local[d], nb,
c_neg_one, dTup(d, 0, J ), nb,
dTup(d, 0, J+JB), nb,
c_one, dAup(d, 0, J2), NB);
}
}
/* wait for the previous updates */
for( d=0; d < ngpu; d++ ) {
magma_setdevice(d);
for( jj=0; jj < 3; jj++ )
magma_queue_sync( stream[d][jj] );
magmablasSetKernelStream(NULL);
}
magma_setdevice(0);
} /* end of updates with previous rows */
/* factor the big panel */
h = (JB+nb-1)/nb; // big diagonal of big panel will be on CPU
// using three streams
rr_dpotrf3_mgpu(ngpu, uplo, JB, n-J, J, J, nb,
dwork, NB, dt, ldda, A, lda, h, stream, event, &iinfo);
if ( iinfo != 0 ) {
*info = J+iinfo;
break;
}
time_sum += timer_stop( time );
/* upload the off-diagonal (and diagonal!!!) big panel */
magma_ddtohpo(ngpu, uplo, JB, n, J, J, nb, NB, A, lda, dwork, NB, stream, &iinfo);
//magma_ddtohpo(ngpu, uplo, JB, n, J, J, nb, 0, A, lda, dwork, NB, stream, &iinfo);
}
} else {
/* ========================================================= *
* Compute the Cholesky factorization A = L*L'. */
/* for each big-panel */
for( J=0; J < n; J += NB ) {
JB = min(NB,n-J);
if ( ngpu0 > (n-J)/nb ) {
ngpu = (n-J)/nb;
if ( (n-J)%nb != 0 ) ngpu ++;
} else {
ngpu = ngpu0;
}
/* load the new big-panel by block-columns */
magma_dhtodpo( ngpu, uplo, n, JB, J, J, nb, A, lda, dwork, lddla, stream, &iinfo);
/* update with the previous big-panels */
timer_start( time );
for( j=0; j < J; j += nb ) {
/* upload the diagonal of big panel */
for( d=0; d < ngpu; d++ ) {
magma_setdevice(d);
magma_dsetmatrix_async( JB, nb,
A(J, j), lda,
dT(d, J, 0), ldda,
stream[d][0] );
n_local[d] = 0;
}
/* upload off-diagonals */
for( jj=J+JB; jj < n; jj += nb ) {
d = ((jj-J)/nb)%ngpu;
magma_setdevice(d);
jb = min(nb, n-jj);
magma_dsetmatrix_async( jb, nb,
A(jj, j), lda,
dT(d, J+JB+n_local[d], 0), ldda,
stream[d][0] );
n_local[d] += jb;
}
/* wait for the communication */
for( d=0; d < ngpu; d++ ) {
magma_setdevice(d);
magma_queue_sync( stream[d][0] );
}
/* update the current big-panel using the previous block-row */
for( jj=0; jj < JB; jj += nb ) { /* diagonal */
d = (jj/nb)%ngpu;
J2 = jj/(nb*ngpu);
magma_setdevice(d);
magmablasSetKernelStream(stream[d][J2%2]);
J2 = nb*J2;
jb = min(nb,JB-jj);
magma_dgemm( MagmaNoTrans, MagmaConjTrans,
jb, jj, nb,
c_neg_one, dT(d, J+jj, 0), ldda,
dT(d, J, 0), ldda,
c_one, dA(d, J2, 0), lddla);
magma_dsyrk(MagmaLower, MagmaNoTrans, jb, nb,
d_neg_one, dT(d, J+jj, 0), ldda,
d_one, dA(d, J2, jj), lddla);
}
if ( n > J+JB ) { /* off-diagonal */
for( d=0; d < ngpu; d++ ) {
magma_setdevice(d);
magmablasSetKernelStream(stream[d][2]);
/* local number of columns in the big panel */
n_local[d] = (((n-J)/nb)/ngpu)*nb;
if (d < ((n-J)/nb)%ngpu)
n_local[d] += nb;
else if (d == ((n-J)/nb)%ngpu)
n_local[d] += (n-J)%nb;
/* subtracting local number of columns in diagonal */
J2 = nb*(JB/(nb*ngpu));
if ( d < (JB/nb)%ngpu )
J2 += nb;
n_local[d] -= J2;
magma_dgemm( MagmaNoTrans, MagmaConjTrans,
n_local[d], JB, nb,
c_neg_one, dT(d, J+JB, 0), ldda,
dT(d, J, 0), ldda,
c_one, dA(d, J2, 0), lddla);
}
}
/* wait for the previous updates */
for( d=0; d < ngpu; d++ ) {
magma_setdevice(d);
for( jj=0; jj < 3; jj++ )
magma_queue_sync( stream[d][jj] );
magmablasSetKernelStream(NULL);
}
magma_setdevice(0);
}
/* factor the big panel */
h = (JB+nb-1)/nb; // big diagonal of big panel will be on CPU
// using three streams
magma_dpotrf3_mgpu(ngpu, uplo, n-J, JB, J, J, nb,
dwork, lddla, dt, ldda, A, lda, h, stream, event, &iinfo);
if ( iinfo != 0 ) {
*info = J+iinfo;
break;
}
time_sum += timer_stop( time );
/* upload the off-diagonal big panel */
magma_ddtohpo( ngpu, uplo, n, JB, J, J, nb, JB, A, lda, dwork, lddla, stream, &iinfo);
} /* end of for J */
} /* if upper */
} /* if nb */
timer_stop( time_total );
if ( ngpu0 > n/nb ) {
ngpu = n/nb;
if ( n%nb != 0 ) ngpu ++;
} else {
ngpu = ngpu0;
}
for (d=0; d < ngpu; d++ ) {
magma_setdevice(d);
for( j=0; j < 3; j++ ) {
magma_queue_destroy( stream[d][j] );
}
magma_free( dt[d] );
for( j=0; j < 5; j++ ) {
magma_event_destroy( event[d][j] );
}
}
magma_setdevice( orig_dev );
magmablasSetKernelStream( orig_stream );
timer_printf( "\n n=%d NB=%d nb=%d\n", (int) n, (int) NB, (int) nb );
timer_printf( " Without memory allocation: %f / %f = %f GFlop/s\n",
FLOPS_DPOTRF(n) / 1e9, time_total,
FLOPS_DPOTRF(n) / 1e9 / time_total );
timer_printf( " Performance %f / %f = %f GFlop/s\n",
FLOPS_DPOTRF(n) / 1e9, time_sum,
FLOPS_DPOTRF(n) / 1e9 / time_sum );
return *info;
} /* magma_dpotrf_ooc */
extern "C" magma_int_t
magma_dbulge_applyQ_v2_m(
magma_int_t ngpu,
magma_side_t side,
magma_int_t NE, magma_int_t N,
magma_int_t NB, magma_int_t Vblksiz,
double *E, magma_int_t lde,
double *V, magma_int_t ldv,
double *T, magma_int_t ldt,
magma_int_t *info)
{
//%===========================
//% local variables
//%===========================
magma_int_t Vm, Vn, mt, nt;
magma_int_t myrow, mycol, blkj, blki;
magma_int_t blkid,vpos,tpos;
magma_int_t firstrow, nbcolinvolvd;
magma_int_t versionL = 113;
magma_int_t versionR = 92;
magma_int_t Vchunksiz = 10;
*info=0;
/* Quick return */
if ( NE == 0 ) {
return *info;
}
if ( N == 0 ) {
return *info;
}
if ( NB == 0 ) {
return *info;
}
/* ==========================================
* some infos for developer
* Initialisation and checking nb of cores
* ==========================================*/
/* we have 2 algo for left (113 114) and 2 algo for right (91 92)
* which correspond to versionL versionR.
* They are very similar (detail explained in tech report and matlab code)
* however version 114 and 92 improve locality.
* while version 113 is used in case WNATZ=1 (construct Q2) which allow
* the construction to be done in an optimized way taking into
* consideration that the matrix is Identity so making less flops.
*
*/
// Initialize streaming and events
//magma_device_sync();
magma_device_t orig_dev;
magma_getdevice( &orig_dev );
magma_int_t nevents =2, nstream=2;
magma_queue_t queues[MagmaMaxGPUs][20];
magma_event_t myevent[MagmaMaxGPUs][20];
for( magma_int_t dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
for( magma_int_t i = 0; i < nstream; ++i ) {
magma_queue_create( dev, &queues[dev][i] );
}
for( magma_int_t i = 0; i < nevents; ++i ) {
cudaEventCreateWithFlags(&myevent[dev][i],cudaEventDisableTiming);
//magma_event_create(&myevent[dev][i]);
}
}
// Azzam 21/11/2012
// NOTE THAT dwork was of size 2*NE*Vblksiz+...
// but I am thinking why not modifing it to NE*Vblksiz+...
// BUT NO because the 2* is used because of making 2 queues working and so
// they might be using dwork in parallel
double *dE[MagmaMaxGPUs];
double *dwork[MagmaMaxGPUs], *dwork0[MagmaMaxGPUs], *dwork1[MagmaMaxGPUs];
//double *dwvt[MagmaMaxGPUs];
double *dwvt0[MagmaMaxGPUs], *dwvt1[MagmaMaxGPUs];
double *dT0[MagmaMaxGPUs], *dV0[MagmaMaxGPUs], *dT1[MagmaMaxGPUs], *dV1[MagmaMaxGPUs];
magma_int_t dev;
magma_int_t ldde = N;
magma_int_t lddv = ldv;
magma_int_t lddt = ldt;
magma_int_t ne_loc = magma_ceildiv(NE, ngpu);
if (ne_loc < 256)
ne_loc=256;
magma_int_t dwVTsiz = lddv*Vblksiz; // lddv*lddv + lddv*NE; // lddv*Vblksiz;
magma_int_t dworksiz = ne_loc*Vblksiz; // lddv*Vblksiz; // NE*Vblksiz;
ngpu = min(ngpu, magma_ceildiv(NE,ne_loc)); // Don't use GPU that will not have data.
// copy dE to GPUs
for (dev=0; dev < ngpu; ++dev) {
magma_setdevice( dev );
if (MAGMA_SUCCESS != magma_dmalloc( &dE[dev], ldde * ne_loc)) {
printf ("!!!! magma_dbulge_applyQ magma_alloc failed for: dE\n" );
exit(-1);
}
if (MAGMA_SUCCESS != magma_dmalloc( &dwork[dev], 2*dworksiz + 2*dwVTsiz + 2*Vchunksiz* (Vblksiz* (lddv+lddt)) )) {
printf ("!!!! magma_dbulge_applyQ magma_alloc failed for: dwork\n" );
exit(-1);
}
dwork0[dev] = dwork[dev]; // size = dworksiz;
dwork1[dev] = dwork0[dev] + dworksiz; // size = dworksiz;
dwvt0[dev] = dwork[dev] + 2*dworksiz; // size = dwVTsiz;
dwvt1[dev] = dwvt0[dev] + dwVTsiz; // size = dwVTsiz;
dV0[dev] = dwork[dev] + 2*dworksiz + 2*dwVTsiz;
dT0[dev] = dV0[dev] + Vchunksiz*Vblksiz*lddv;
dV1[dev] = dT0[dev] + Vchunksiz*Vblksiz*lddt;
dT1[dev] = dV1[dev] + Vchunksiz*Vblksiz*lddv;
magma_int_t ie_loc = min(ne_loc, NE - ne_loc*dev);
magma_dsetmatrix_async( N, ie_loc, E+lde*ne_loc*dev, lde, dE(dev, 0, 0), ldde, queues[dev][1] );
}
// make overlapped copy
magma_int_t ncpy = 0;
magma_int_t copyed=0, copyst=0;
magma_int_t blkcnt,nothing, mysiz, flip, vld,tld, locpos;
findVTsiz(N, NB, Vblksiz, &blkcnt, ¬hing);
flip = 0;
/* SIDE LEFT meaning apply E = Q*E = (q_1*q_2*.....*q_n) * E ==> so traverse Vs in reverse order (forward) from q_n to q_1
* Also E is splitten by row meaning each apply consist in a block of row (horizontal block) */
/* SIDE RIGHT meaning apply E = E*Q = E * (q_1*q_2*.....*q_n) ==> so tarverse Vs in normal order (forward) from q_1 to q_n
* Also E is splitten by col meaning each apply consist in a block of col (vertical block) */
#ifdef ENABLE_DEBUG
printf(" APPLY Q_v22_m GPU with NGPU %d N %d, NE %d, NB %d, Vblksiz %d, versionL %d versionR %d SIDE %c \n",
ngpu, N, NE, NB, Vblksiz, versionL, versionR, side);
#endif
/*
* MagmamaLeft
*/
if (side == MagmaLeft) {
/*
* Version 113:
* loop over the block_col (nt) and for each find the
* number of tiles (mt) in this block_col. then loop over mt, find
* the size of the V's(Vm,Vn) and apply it to the corresponding
* portion of E.
*/
if ( versionL == 113 ) {
nt = magma_ceildiv((N-1),Vblksiz);
for (blkj=nt-1; blkj >= 0; blkj--) {
/* the index of the first row on the top of block (blkj) */
firstrow = blkj * Vblksiz + 1;
/*find the number of tile for this block */
if ( blkj == nt-1 )
mt = magma_ceildiv( N - firstrow, NB);
else
mt = magma_ceildiv( N - (firstrow+1), NB);
/*loop over the tiles find the size of the Vs and apply it */
for (blki=mt; blki > 0; blki--) {
/*calculate the size of each losange of Vs= (Vm,Vn)*/
myrow = firstrow + (mt-blki)*NB;
mycol = blkj*Vblksiz;
Vm = min( NB+Vblksiz-1, N-myrow);
if ( ( blkj == nt-1 ) && ( blki == mt ) ) {
Vn = min (Vblksiz, Vm);
} else {
Vn = min (Vblksiz, Vm-1);
}
/*calculate the pointer to the Vs and the Ts.
* Note that Vs and Ts have special storage done
* by the bulgechasing function*/
//printf("voici blkj %d blki %d Vm %d Vn %d mycol %d vpos %d \n",blkj,blki,Vm, Vn,mycol,vpos);
magma_bulge_findpos113(N, NB, Vblksiz, mycol, myrow, &blkid);
// COPY Vchunksiz Vs and Vchunksiz Ts to GPU and store it in dV0/dV1 and dT0/dT1
if (ncpy == 0) {
// flip = 1 for this.
copyst = 0; // meaning that copy will start copying from blkid =copyst
copyed = min(copyst+Vchunksiz, blkcnt); // meaning that copy will end copying at blkid =copyed-1==> next copy had to start at copyed
mysiz = copyed-copyst; // the size of the chunk to be copied
if (mysiz > 0) {
ncpy = 1;
flip = 1;
vpos = copyst*Vblksiz*ldv;
tpos = copyst*Vblksiz*ldt;
vld = mysiz * ldv;
tld = mysiz * ldt;
for( dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
magma_dsetmatrix_async(vld, Vblksiz, V(vpos), vld, dV1[dev], vld, queues[dev][1]);
magma_dsetmatrix_async(tld, Vblksiz, T(tpos), tld, dT1[dev], tld, queues[dev][1]);
}
//printf("doing the first copy of mysiz %2d copyst %2d copyed %2d vpos %8d tpos %8d into dV1 dT1\n",mysiz,copyst,copyed,vpos,tpos);
}
}
if (blkid == copyst) {
flip = ncpy % 2;
copyst = copyed; // meaning that copy will start copying from blkid =copyst
copyed = min(copyst+Vchunksiz, blkcnt); // meaning that copy will end copying at blkid =copyed-1==> next copy had to start at copyed
mysiz = copyed-copyst; // the size of the chunk to be copied
//printf(" get to copy blkid %d blkid+(2*Vchunksiz) %d copyst %d copyed %d\n",blkid,blkid+(Vchunksiz),copyst,copyed);
if (mysiz > 0) {
ncpy = ncpy + 1;
vpos = copyst*Vblksiz*ldv;
tpos = copyst*Vblksiz*ldt;
vld = mysiz * ldv;
tld = mysiz * ldt;
if (flip == 0) { // now I am working on dV0 so copy the next and put it on dV1
//printf("doing overlapping copy of mysiz %2d copyst %2d copyed %2d vpos %8d tpos %8d into dV1 dT1\n",mysiz,copyst,copyed,vpos,tpos);
for( dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
magma_dsetmatrix_async(vld, Vblksiz, V(vpos), vld, dV1[dev], vld, queues[dev][1]);
magma_dsetmatrix_async(tld, Vblksiz, T(tpos), tld, dT1[dev], tld, queues[dev][1]);
}
} else { // now I am working on dV1 so copy the next and put it on dV0
//printf("doing overlapping copy of mysiz %2d copyst %2d copyed %2d vpos %8d tpos %8d into dV0 dT0\n",mysiz,copyst,copyed,vpos,tpos);
for( dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
magma_dsetmatrix_async(vld, Vblksiz, V(vpos), vld, dV0[dev], vld, queues[dev][0]);
magma_dsetmatrix_async(tld, Vblksiz, T(tpos), tld, dT0[dev], tld, queues[dev][0]);
}
}
}
}
if ((Vm > 0) && (Vn > 0)) {
locpos = blkid%Vchunksiz;
magma_int_t lcvpos = locpos*Vblksiz*lddv;
magma_int_t lctpos = locpos*Vblksiz*lddt;
//printf("voici blkj %d blki %d Vm %d Vn %d mycol %d locvpos %5d loctpos %5d blkid %2d using data in dV%1d dT%1d \n",blkj,blki,Vm, Vn,mycol,lcvpos,lctpos, blkid,flip,flip);
if (flip == 0) {
for( dev = 0; dev < ngpu; ++dev ) {
magma_int_t ie_loc = min(ne_loc, NE - ne_loc*dev);
magma_int_t nr_bl = magma_ceildiv(ie_loc,10000); //nr of blocks
magma_int_t sz_bl = magma_ceildiv(ie_loc,nr_bl*64)*64; //maximum size of blocks (to have blocks of around the same size and multiple of 64)
magma_int_t ib; //size of current block
magma_setdevice( dev );
magma_queue_wait_event( queues[dev][0], myevent[dev][1] );
for (magma_int_t i=0; i < ie_loc; i += sz_bl) {
ib = min(sz_bl, ie_loc-i);
//magma_dlarfb_gpu( MagmaLeft, MagmaNoTrans, MagmaForward, MagmaColumnwise, Vm, ib, Vn, dV0[dev]+lcvpos, lddv, dT0[dev]+lctpos, lddt, dE(dev,myrow,i), ldde, dwork0[dev], ib, queues[dev][0] );
magma_dlarfb_gpu_gemm( MagmaLeft, MagmaNoTrans, MagmaForward, MagmaColumnwise, Vm, ib, Vn, dV0[dev]+lcvpos, lddv, dT0[dev]+lctpos, lddt, dE(dev,myrow,i), ldde, dwork0[dev], ib, dwvt0[dev], Vm, queues[dev][0] );
}
magma_event_record( myevent[dev][0], queues[dev][0] );
}
} else {
for( dev = 0; dev < ngpu; ++dev ) {
magma_int_t ie_loc = min(ne_loc, NE - ne_loc*dev);
magma_int_t nr_bl = magma_ceildiv(ie_loc,10000); //nr of blocks
magma_int_t sz_bl = magma_ceildiv(ie_loc,nr_bl*64)*64; //maximum size of blocks (to have blocks of around the same size and multiple of 64)
magma_int_t ib; //size of current block
magma_setdevice( dev );
magma_queue_wait_event( queues[dev][1], myevent[dev][0] );
for (magma_int_t i=0; i < ie_loc; i += sz_bl) {
ib = min(sz_bl, ie_loc-i);
//magma_dlarfb_gpu( MagmaLeft, MagmaNoTrans, MagmaForward, MagmaColumnwise, Vm, ib, Vn, dV1[dev]+lcvpos, lddv, dT1[dev]+lctpos, lddt, dE(dev,myrow,i), ldde, dwork1[dev], ib, queues[dev][1] );
magma_dlarfb_gpu_gemm( MagmaLeft, MagmaNoTrans, MagmaForward, MagmaColumnwise, Vm, ib, Vn, dV1[dev]+lcvpos, lddv, dT1[dev]+lctpos, lddt, dE(dev,myrow,i), ldde, dwork1[dev], ib, dwvt1[dev], Vm, queues[dev][1] );
}
magma_event_record( myevent[dev][1], queues[dev][1] );
}
}
} // end for (Vm &Vn) > 0
} // end for blki
} // end for blkj
} // end if version=113
/*
* Version 114:
* loop over the block_row (mt) and for each find diagonally the
* number of tiles (nt) in this block_row. then loop over nt, find
* the size of the V's(Vm,Vn) and apply it to the corresponding
* portion of E.
*/
else {
printf("versionL 114 not implemented in dbulge_applyQ_v2_m\n");
exit(-1);
mt = magma_ceildiv((N-1),NB);
for (blki = mt; blki > 0; blki--) {
/* nbcolinvolvd = number of column corresponding to this block_row (blki) */
nbcolinvolvd = min(N-1, blki*NB);
/*find the number of tile for this block (diagonal row of tiles) */
nt = magma_ceildiv(nbcolinvolvd,Vblksiz);
/*loop over the tiles find the size of the Vs and apply it */
for (blkj = nt-1; blkj >= 0; blkj--) {
/* the index of the first row of the first col meaning
* the block on the top left (blki) */
firstrow = (mt-blki)*NB+1;
/*calculate the size of each losange of Vs= (Vm,Vn)*/
myrow = firstrow + blkj*Vblksiz;
mycol = blkj*Vblksiz;
Vm = min( NB+Vblksiz-1, N-myrow);
if ( ( blkj == nt-1 ) && ( blki == mt ) ) {
Vn = min (Vblksiz, Vm);
} else {
Vn = min (Vblksiz, Vm-1);
}
if ((Vm > 0) && (Vn > 0)) {
/*calculate the pointer to the Vs and the Ts.
* Note that Vs and Ts have special storage done
* by the bulgechasing function*/
/*
magma_bulge_findVTpos(N, NB, Vblksiz, mycol, myrow, ldv, ldt, &vpos, &tpos);
magma_dsetmatrix_async(Vm, Vn, V(vpos), ldv, dV0, lddv, queues[dev][0]);
magma_dsetmatrix_async(Vn, Vn, T(tpos), ldt, dT0, lddt, queues[dev][0]);
//printf("voici blki %d rownbm %d mycol %d coled %d blkid %d vpos %d tpos %d\n", blki, rownbm, mycol, coled, blkid, vpos, tpos);
for (magma_int_t i=0; i < NE; i += sz_bl) {
ib = min(sz_bl, NE-i);
magma_dlarfb_gpu( MagmaLeft, MagmaNoTrans, MagmaForward, MagmaColumnwise, Vm, ib, Vn, dV0, lddv, dT0, lddt, dE(myrow,i), ldde, dwork, NE, queues[dev][0] );
}
*/
} // end for (Vm &Vn) > 0
} // end for blkj
} // end for blki
} // end version 114
} // end LEFT
/*
* MagmaRight
*/
else {
printf("Side 'R' not implemented in dbulge_applyQ_v2_m\n");
exit(-1);
/*
* Version 91:
*/
if ( versionR == 91 ) {
nt = magma_ceildiv((N-1),Vblksiz);
for (blkj=0; blkj < nt; blkj++) {
/* the index of the first myrow on the top of block (blkj) */
firstrow = blkj * Vblksiz + 1;
/*find the number of tile for this block */
if ( blkj == nt-1 )
mt = magma_ceildiv( N - firstrow, NB);
else
mt = magma_ceildiv( N - (firstrow+1), NB);
/*loop over the tiles find the size of the Vs and apply it */
for (blki=1; blki <= mt; blki++) {
/*calculate the size of each losange of Vs= (Vm,Vn)*/
myrow = firstrow + (mt-blki)*NB;
Vm = min( NB+Vblksiz-1, N-myrow);
if ( (blkj == nt-1) && (blki == mt) ) {
Vn = min (Vblksiz, Vm);
} else {
Vn = min (Vblksiz, Vm-1);
}
mycol = blkj*Vblksiz;
if ((Vm > 0) && (Vn > 0)) {
/*calculate the pointer to the Vs and the Ts.
* Note that Vs and Ts have special storage done
* by the bulgechasing function*/
/*
magma_bulge_findVTpos(N, NB, Vblksiz, mycol, myrow, ldv, ldt, &vpos, &tpos);
magma_dsetmatrix_async(Vm, Vn, V(vpos), ldv, dV0, lddv, queues[dev][0]);
magma_dsetmatrix_async(Vn, Vn, T(tpos), ldt, dT0, lddt, queues[dev][0]);
magma_dlarfb_gpu( MagmaRight, MagmaNoTrans, MagmaForward, MagmaColumnwise, NE, Vm, Vn, dV0, lddv, dT0, lddt, dE(0, myrow), ldde, dwork, NE, queues[dev][0] );
*/
} // end for (Vm &Vn) > 0
} // end for blki
} // end fo blkj
} // end of version 91
/*
* Version 92:
*/
else {
mt = magma_ceildiv((N-1),NB);
for (blki = 1; blki <= mt; blki++) {
/* nbcolinvolvd = number of column corresponding to this block_row (blki) */
nbcolinvolvd = min(N-1, blki*NB);
/*find the number of tile for this block (diagonal row of tiles) */
nt = magma_ceildiv(nbcolinvolvd,Vblksiz);
/*loop over the tiles find the size of the Vs and apply it */
for (blkj = 0; blkj < nt; blkj++) {
/* the index of the first row of the first col meaning
* the block on the top left (blki) */
firstrow = (mt-blki)*NB+1;
/*calculate the size of each losange of Vs= (Vm,Vn)*/
myrow = firstrow + blkj*Vblksiz;
mycol = blkj*Vblksiz;
Vm = min( NB+Vblksiz-1, N-myrow);
if ( ( blkj == nt-1 ) && ( blki == mt ) ) {
Vn = min (Vblksiz, Vm);
} else {
Vn = min (Vblksiz, Vm-1);
}
if ((Vm > 0) && (Vn > 0)) {
/*calculate the pointer to the Vs and the Ts.
* Note that Vs and Ts have special storage done
* by the bulgechasing function*/
/*
magma_bulge_findVTpos(N, NB, Vblksiz, mycol, myrow, ldv, ldt, &vpos, &tpos);
magma_dsetmatrix_async(Vm, Vn, V(vpos), ldv, dV0, lddv, queues[dev][0]);
magma_dsetmatrix_async(Vn, Vn, T(tpos), ldt, dT0, lddt, queues[dev][0]);
magma_dlarfb_gpu( MagmaRight, MagmaNoTrans, MagmaForward, MagmaColumnwise, NE, Vm, Vn, dV0, lddv, dT0, lddt, dE(0, myrow), ldde, dwork, NE, queues[dev][0] );
*/
} // end for (Vm &Vn) > 0
} //end for blkj
} // end for blki
} //end of version 92
} // end RIGHT
// copy back the dE form each GPU
for( dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
magma_queue_wait_event( queues[dev][0], myevent[dev][1] );
magma_queue_wait_event( queues[dev][0], myevent[dev][0] );
magma_int_t ie_loc = min(ne_loc, NE - ne_loc*dev);
magma_dgetmatrix_async( N, ie_loc, dE(dev, 0, 0), ldde, E+lde*ne_loc*dev, lde, queues[dev][0] );
magma_event_record( myevent[dev][0], queues[dev][0] );
}
for( dev = 0; dev < ngpu; ++dev ) {
magma_setdevice( dev );
magma_queue_wait_event( queues[dev][0], myevent[dev][0] );
magma_queue_sync(queues[dev][0]);
magma_queue_sync(queues[dev][1]);
magma_free(dwork[dev]);
magma_free(dE[dev]);
for( magma_int_t i = 0; i < nevents; ++i ) {
magma_event_destroy( myevent[dev][i] );
}
for( magma_int_t i = 0; i < nstream; ++i ) {
magma_queue_destroy( queues[dev][i] );
}
}
magma_setdevice( orig_dev );
return *info;
}
extern "C" magma_int_t
magma_dpotrf_gpu(char uplo, magma_int_t n,
double *dA, magma_int_t ldda, magma_int_t *info)
{
/* -- MAGMA (version 1.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
August 2013
Purpose
=======
DPOTRF computes the Cholesky factorization of a real symmetric
positive definite matrix dA.
The factorization has the form
dA = U**T * U, if UPLO = 'U', or
dA = L * L**T, if UPLO = 'L',
where U is an upper triangular matrix and L is lower triangular.
This is the block version of the algorithm, calling Level 3 BLAS.
If the current stream is NULL, this version replaces it with user defined
stream to overlap computation with communication.
Arguments
=========
UPLO (input) CHARACTER*1
= 'U': Upper triangle of dA is stored;
= 'L': Lower triangle of dA is stored.
N (input) INTEGER
The order of the matrix dA. N >= 0.
dA (input/output) DOUBLE_PRECISION array on the GPU, dimension (LDDA,N)
On entry, the symmetric matrix dA. If UPLO = 'U', the leading
N-by-N upper triangular part of dA contains the upper
triangular part of the matrix dA, and the strictly lower
triangular part of dA is not referenced. If UPLO = 'L', the
leading N-by-N lower triangular part of dA contains the lower
triangular part of the matrix dA, and the strictly upper
triangular part of dA is not referenced.
On exit, if INFO = 0, the factor U or L from the Cholesky
factorization dA = U**T * U or dA = L * L**T.
LDDA (input) INTEGER
The leading dimension of the array dA. LDDA >= max(1,N).
To benefit from coalescent memory accesses LDDA must be
dividable by 16.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, the leading minor of order i is not
positive definite, and the factorization could not be
completed.
===================================================================== */
magma_int_t j, jb, nb;
char uplo_[2] = {uplo, 0};
double c_one = MAGMA_D_ONE;
double c_neg_one = MAGMA_D_NEG_ONE;
double *work;
double d_one = 1.0;
double d_neg_one = -1.0;
int upper = lapackf77_lsame(uplo_, "U");
*info = 0;
if ( (! upper) && (! lapackf77_lsame(uplo_, "L")) ) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (ldda < max(1,n)) {
*info = -4;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
nb = magma_get_dpotrf_nb(n);
if (MAGMA_SUCCESS != magma_dmalloc_pinned( &work, nb*nb )) {
*info = MAGMA_ERR_HOST_ALLOC;
return *info;
}
/* Define user stream if current stream is NULL */
cudaStream_t stream[2], current_stream;
magmablasGetKernelStream(¤t_stream);
magma_queue_create( &stream[0] );
if (current_stream == NULL) {
magma_queue_create( &stream[1] );
magmablasSetKernelStream(stream[1]);
}
else
stream[1] = current_stream;
if ((nb <= 1) || (nb >= n)) {
/* Use unblocked code. */
magma_dgetmatrix_async( n, n, dA, ldda, work, n, stream[1] );
magma_queue_sync( stream[1] );
lapackf77_dpotrf(uplo_, &n, work, &n, info);
magma_dsetmatrix_async( n, n, work, n, dA, ldda, stream[1] );
}
else {
/* Use blocked code. */
if (upper) {
/* Compute the Cholesky factorization A = U'*U. */
for (j=0; j<n; j+=nb) {
/* Update and factorize the current diagonal block and test
for non-positive-definiteness. Computing MIN */
jb = min(nb, (n-j));
magma_dsyrk(MagmaUpper, MagmaTrans, jb, j,
d_neg_one, dA(0, j), ldda,
d_one, dA(j, j), ldda);
magma_queue_sync( stream[1] );
magma_dgetmatrix_async( jb, jb,
dA(j, j), ldda,
work, jb, stream[0] );
if ( (j+jb) < n) {
/* Compute the current block row. */
magma_dgemm(MagmaTrans, MagmaNoTrans,
jb, (n-j-jb), j,
c_neg_one, dA(0, j ), ldda,
dA(0, j+jb), ldda,
c_one, dA(j, j+jb), ldda);
}
magma_queue_sync( stream[0] );
lapackf77_dpotrf(MagmaUpperStr, &jb, work, &jb, info);
magma_dsetmatrix_async( jb, jb,
work, jb,
dA(j, j), ldda, stream[1] );
if (*info != 0) {
*info = *info + j;
break;
}
if ( (j+jb) < n) {
magma_dtrsm( MagmaLeft, MagmaUpper, MagmaTrans, MagmaNonUnit,
jb, (n-j-jb),
c_one, dA(j, j ), ldda,
dA(j, j+jb), ldda);
}
}
}
else {
//=========================================================
// Compute the Cholesky factorization A = L*L'.
for (j=0; j<n; j+=nb) {
// Update and factorize the current diagonal block and test
// for non-positive-definiteness. Computing MIN
jb = min(nb, (n-j));
magma_dsyrk(MagmaLower, MagmaNoTrans, jb, j,
d_neg_one, dA(j, 0), ldda,
d_one, dA(j, j), ldda);
magma_queue_sync( stream[1] );
magma_dgetmatrix_async( jb, jb,
dA(j, j), ldda,
work, jb, stream[0] );
if ( (j+jb) < n) {
magma_dgemm( MagmaNoTrans, MagmaTrans,
(n-j-jb), jb, j,
c_neg_one, dA(j+jb, 0), ldda,
dA(j, 0), ldda,
c_one, dA(j+jb, j), ldda);
}
magma_queue_sync( stream[0] );
lapackf77_dpotrf(MagmaLowerStr, &jb, work, &jb, info);
magma_dsetmatrix_async( jb, jb,
work, jb,
dA(j, j), ldda, stream[1] );
if (*info != 0) {
*info = *info + j;
break;
}
if ( (j+jb) < n) {
magma_dtrsm(MagmaRight, MagmaLower, MagmaTrans, MagmaNonUnit,
(n-j-jb), jb,
c_one, dA(j, j), ldda,
dA(j+jb, j), ldda);
}
}
}
}
magma_free_pinned( work );
magma_queue_destroy( stream[0] );
if (current_stream == NULL) {
magma_queue_destroy( stream[1] );
magmablasSetKernelStream(NULL);
}
return *info;
} /* magma_dpotrf_gpu */
extern "C" magma_int_t
magma_dorgqr(
magma_int_t m, magma_int_t n, magma_int_t k,
double *a, magma_int_t lda,
double *tau, magmaDouble_ptr dT, size_t dT_offset,
magma_int_t nb,
magma_queue_t queue,
magma_int_t *info )
{
/* -- clMAGMA (version 1.3.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2014
Purpose
=======
DORGQR generates an M-by-N DOUBLE_PRECISION matrix Q with orthonormal columns,
which is defined as the first N columns of a product of K elementary
reflectors of order M
Q = H(1) H(2) . . . H(k)
as returned by DGEQRF.
Arguments
=========
M (input) INTEGER
The number of rows of the matrix Q. M >= 0.
N (input) INTEGER
The number of columns of the matrix Q. M >= N >= 0.
K (input) INTEGER
The number of elementary reflectors whose product defines the
matrix Q. N >= K >= 0.
A (input/output) DOUBLE_PRECISION array A, dimension (LDDA,N).
On entry, the i-th column must contain the vector
which defines the elementary reflector H(i), for
i = 1,2,...,k, as returned by DGEQRF_GPU in the
first k columns of its array argument A.
On exit, the M-by-N matrix Q.
LDA (input) INTEGER
The first dimension of the array A. LDA >= max(1,M).
TAU (input) DOUBLE_PRECISION array, dimension (K)
TAU(i) must contain the scalar factor of the elementary
reflector H(i), as returned by DGEQRF_GPU.
DT (input) DOUBLE_PRECISION array on the GPU device.
DT contains the T matrices used in blocking the elementary
reflectors H(i), e.g., this can be the 6th argument of
magma_dgeqrf_gpu.
NB (input) INTEGER
This is the block size used in DGEQRF_GPU, and correspondingly
the size of the T matrices, used in the factorization, and
stored in DT.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument has an illegal value
===================================================================== */
#define a_ref(i,j) ( a + (j)*lda + (i))
#define da_ref(i,j) da, (da_offset + (j)*ldda + (i))
#define t_ref(a_1) dT, (dT_offset + (a_1)*nb)
double c_zero = MAGMA_D_ZERO;
magma_int_t i__1, i__2, i__3;
magma_int_t lwork, ldda;
magma_int_t i, ib, ki, kk, iinfo;
magma_int_t lddwork = min(m, n);
double *work;
magmaDouble_ptr da, dwork;
size_t da_offset, dwork_offset;
magma_event_t event = NULL;
*info = 0;
if (m < 0) {
*info = -1;
} else if ((n < 0) || (n > m)) {
*info = -2;
} else if ((k < 0) || (k > n)) {
*info = -3;
} else if (lda < max(1,m)) {
*info = -5;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
if (n <= 0)
return *info;
/* Allocate GPU work space */
ldda = ((m+31)/32)*32;
lddwork = ((lddwork+31)/32)*32;
if (MAGMA_SUCCESS != magma_dmalloc( &da, ((n)*ldda + nb*lddwork ) )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
da_offset = 0;
dwork = da;
dwork_offset = da_offset + (n)*ldda;
/* Allocate CPU work space */
lwork = n * nb;
magma_dmalloc_cpu( &work, lwork );
if( work == NULL ) {
magma_free( da );
*info = MAGMA_ERR_HOST_ALLOC;
return *info;
}
if ( (nb > 1) && (nb < k) )
{
/* Use blocked code after the last block.
The first kk columns are handled by the block method. */
ki = (k - nb - 1) / nb * nb;
kk = min(k, ki + nb);
/* Set A(1:kk,kk+1:n) to zero. */
magmablas_dlaset(MagmaFull, kk, n-kk, c_zero, c_zero, da_ref(0,kk), ldda, queue);
}
else
kk = 0;
/* Use unblocked code for the last or only block. */
if (kk < n)
{
i__1 = m - kk;
i__2 = n - kk;
i__3 = k - kk;
lapackf77_dorgqr(&i__1, &i__2, &i__3,
a_ref(kk, kk), &lda,
&tau[kk], work, &lwork, &iinfo);
magma_dsetmatrix(i__1, i__2, a_ref(kk, kk), lda, da_ref(kk, kk), ldda, queue);
}
if (kk > 0)
{
/* Use blocked code */
for (i = ki; i >= 0; i-=nb)
{
ib = min(nb, k - i);
/* Send the current panel to the GPU */
i__2 = m - i;
dpanel_to_q(MagmaUpper, ib, a_ref(i,i), lda, work);
magma_dsetmatrix(i__2, ib, a_ref(i, i), lda, da_ref(i, i), ldda, queue);
if (i + ib < n)
{
/* Apply H to A(i:m,i+ib:n) from the left */
i__3 = n - i - ib;
magma_dlarfb_gpu( MagmaLeft, MagmaNoTrans, MagmaForward, MagmaColumnwise,
i__2, i__3, ib,
da_ref(i, i ), ldda, t_ref(i), nb,
da_ref(i, i+ib), ldda, dwork, dwork_offset, lddwork, queue);
}
/* Apply H to rows i:m of current block on the CPU */
lapackf77_dorgqr(&i__2, &ib, &ib,
a_ref(i, i), &lda,
&tau[i], work, &lwork, &iinfo);
magma_dsetmatrix_async( i__2, ib,
a_ref(i,i), lda,
da_ref(i,i), ldda, queue, &event );
/* Set rows 1:i-1 of current block to zero */
i__2 = i + ib;
magmablas_dlaset(MagmaFull, i, i__2 - i, c_zero, c_zero, da_ref(0,i), ldda, queue);
}
}
magma_dgetmatrix(m, n, da_ref(0, 0), ldda, a_ref(0, 0), lda, queue);
//cudaStreamDestroy(stream);
magma_free( da );
magma_free_cpu(work);
return *info;
} /* magma_dorgqr */
/**
Purpose
-------
DSYGVD computes all the eigenvalues, and optionally, the eigenvectors
of a real generalized symmetric-definite eigenproblem, of the form
A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x. Here A and
B are assumed to be symmetric and B is also positive definite.
If eigenvectors are desired, it uses a divide and conquer algorithm.
The divide and conquer algorithm makes very mild assumptions about
floating point arithmetic. It will work on machines with a guard
digit in add/subtract, or on those binary machines without guard
digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or
Cray-2. It could conceivably fail on hexadecimal or decimal machines
without guard digits, but we know of none.
Arguments
---------
@param[in]
itype INTEGER
Specifies the problem type to be solved:
= 1: A*x = (lambda)*B*x
= 2: A*B*x = (lambda)*x
= 3: B*A*x = (lambda)*x
@param[in]
jobz magma_vec_t
- = MagmaNoVec: Compute eigenvalues only;
- = MagmaVec: Compute eigenvalues and eigenvectors.
@param[in]
uplo magma_uplo_t
- = MagmaUpper: Upper triangles of A and B are stored;
- = MagmaLower: Lower triangles of A and B are stored.
@param[in]
n INTEGER
The order of the matrices A and B. N >= 0.
@param[in,out]
A DOUBLE PRECISION array, dimension (LDA, N)
On entry, the symmetric matrix A. If UPLO = MagmaUpper, the
leading N-by-N upper triangular part of A contains the
upper triangular part of the matrix A. If UPLO = MagmaLower,
the leading N-by-N lower triangular part of A contains
the lower triangular part of the matrix A.
\n
On exit, if JOBZ = MagmaVec, then if INFO = 0, A contains the
matrix Z of eigenvectors. The eigenvectors are normalized
as follows:
if ITYPE = 1 or 2, Z**T * B * Z = I;
if ITYPE = 3, Z**T * inv(B) * Z = I.
If JOBZ = MagmaNoVec, then on exit the upper triangle (if UPLO=MagmaUpper)
or the lower triangle (if UPLO=MagmaLower) of A, including the
diagonal, is destroyed.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,N).
@param[in,out]
B DOUBLE PRECISION array, dimension (LDB, N)
On entry, the symmetric matrix B. If UPLO = MagmaUpper, the
leading N-by-N upper triangular part of B contains the
upper triangular part of the matrix B. If UPLO = MagmaLower,
the leading N-by-N lower triangular part of B contains
the lower triangular part of the matrix B.
\n
On exit, if INFO <= N, the part of B containing the matrix is
overwritten by the triangular factor U or L from the Cholesky
factorization B = U**T * U or B = L * L**T.
@param[in]
ldb INTEGER
The leading dimension of the array B. LDB >= max(1,N).
@param[out]
w DOUBLE PRECISION array, dimension (N)
If INFO = 0, the eigenvalues in ascending order.
@param[out]
work (workspace) DOUBLE PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK[0] returns the optimal LWORK.
@param[in]
lwork INTEGER
The length of the array WORK.
If N <= 1, LWORK >= 1.
If JOBZ = MagmaNoVec and N > 1, LWORK >= 2*N + N*NB.
If JOBZ = MagmaVec and N > 1, LWORK >= max( 2*N + N*NB, 1 + 6*N + 2*N**2 ).
NB can be obtained through magma_get_dsytrd_nb(N).
\n
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal sizes of the WORK and IWORK
arrays, returns these values as the first entries of the WORK
and IWORK arrays, and no error message related to LWORK or
LIWORK is issued by XERBLA.
@param[out]
iwork (workspace) INTEGER array, dimension (MAX(1,LIWORK))
On exit, if INFO = 0, IWORK[0] returns the optimal LIWORK.
@param[in]
liwork INTEGER
The dimension of the array IWORK.
If N <= 1, LIWORK >= 1.
If JOBZ = MagmaNoVec and N > 1, LIWORK >= 1.
If JOBZ = MagmaVec and N > 1, LIWORK >= 3 + 5*N.
\n
If LIWORK = -1, then a workspace query is assumed; the
routine only calculates the optimal sizes of the WORK and
IWORK arrays, returns these values as the first entries of
the WORK and IWORK arrays, and no error message related to
LWORK or LIWORK is issued by XERBLA.
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
- > 0: DPOTRF or DSYEVD returned an error code:
<= N: if INFO = i and JOBZ = MagmaNoVec, then the algorithm
failed to converge; i off-diagonal elements of an
intermediate tridiagonal form did not converge to
zero;
if INFO = i and JOBZ = MagmaVec, then the algorithm
failed to compute an eigenvalue while working on
the submatrix lying in rows and columns INFO/(N+1)
through mod(INFO,N+1);
> N: if INFO = N + i, for 1 <= i <= N, then the leading
minor of order i of B is not positive definite.
The factorization of B could not be completed and
no eigenvalues or eigenvectors were computed.
Further Details
---------------
Based on contributions by
Mark Fahey, Department of Mathematics, Univ. of Kentucky, USA
Modified so that no backsubstitution is performed if DSYEVD fails to
converge (NEIG in old code could be greater than N causing out of
bounds reference to A - reported by Ralf Meyer). Also corrected the
description of INFO and the test on ITYPE. Sven, 16 Feb 05.
@ingroup magma_dsygv_driver
********************************************************************/
extern "C" magma_int_t
magma_dsygvd(
magma_int_t itype, magma_vec_t jobz, magma_uplo_t uplo, magma_int_t n,
double *A, magma_int_t lda,
double *B, magma_int_t ldb,
double *w,
double *work, magma_int_t lwork,
#ifdef COMPLEX
double *rwork, magma_int_t lrwork,
#endif
magma_int_t *iwork, magma_int_t liwork,
magma_int_t *info)
{
const char* uplo_ = lapack_uplo_const( uplo );
const char* jobz_ = lapack_vec_const( jobz );
double d_one = MAGMA_D_ONE;
double *dA=NULL, *dB=NULL;
magma_int_t ldda = n;
magma_int_t lddb = n;
magma_int_t lower;
magma_trans_t trans;
magma_int_t wantz, lquery;
magma_int_t lwmin, liwmin;
magma_queue_t stream;
magma_queue_create( &stream );
wantz = (jobz == MagmaVec);
lower = (uplo == MagmaLower);
lquery = (lwork == -1 || liwork == -1);
*info = 0;
if (itype < 1 || itype > 3) {
*info = -1;
} else if (! (wantz || (jobz == MagmaNoVec))) {
*info = -2;
} else if (! (lower || (uplo == MagmaUpper))) {
*info = -3;
} else if (n < 0) {
*info = -4;
} else if (lda < max(1,n)) {
*info = -6;
} else if (ldb < max(1,n)) {
*info = -8;
}
magma_int_t nb = magma_get_dsytrd_nb( n );
if ( n <= 1 ) {
lwmin = 1;
liwmin = 1;
}
else if ( wantz ) {
lwmin = max( 2*n + n*nb, 1 + 6*n + 2*n*n );
liwmin = 3 + 5*n;
}
else {
lwmin = 2*n + n*nb;
liwmin = 1;
}
// multiply by 1+eps (in Double!) to ensure length gets rounded up,
// if it cannot be exactly represented in floating point.
real_Double_t one_eps = 1. + lapackf77_dlamch("Epsilon");
work[0] = lwmin * one_eps;
iwork[0] = liwmin;
if (lwork < lwmin && ! lquery) {
*info = -11;
} else if (liwork < liwmin && ! lquery) {
*info = -13;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
else if (lquery) {
return *info;
}
/* Quick return if possible */
if (n == 0) {
return *info;
}
/* Check if matrix is very small then just call LAPACK on CPU, no need for GPU */
if (n <= 128) {
#ifdef ENABLE_DEBUG
printf("--------------------------------------------------------------\n");
printf(" warning matrix too small N=%d NB=%d, calling lapack on CPU \n", (int) n, (int) nb);
printf("--------------------------------------------------------------\n");
#endif
lapackf77_dsygvd(&itype, jobz_, uplo_,
&n, A, &lda, B, &ldb,
w, work, &lwork,
iwork, &liwork, info);
return *info;
}
if (MAGMA_SUCCESS != magma_dmalloc( &dA, n*ldda ) ||
MAGMA_SUCCESS != magma_dmalloc( &dB, n*lddb )) {
magma_free( dA );
magma_free( dB );
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
/* Form a Cholesky factorization of B. */
magma_dsetmatrix( n, n, B, ldb, dB, lddb );
magma_dsetmatrix_async( n, n,
A, lda,
dA, ldda, stream );
magma_timer_t time=0;
timer_start( time );
magma_dpotrf_gpu(uplo, n, dB, lddb, info);
if (*info != 0) {
*info = n + *info;
return *info;
}
timer_stop( time );
timer_printf( "time dpotrf_gpu = %6.2f\n", time );
magma_queue_sync( stream );
magma_dgetmatrix_async( n, n,
dB, lddb,
B, ldb, stream );
timer_start( time );
/* Transform problem to standard eigenvalue problem and solve. */
magma_dsygst_gpu(itype, uplo, n, dA, ldda, dB, lddb, info);
timer_stop( time );
timer_printf( "time dsygst_gpu = %6.2f\n", time );
/* simple fix to be able to run bigger size.
* need to have a dwork here that will be used
* as dB and then passed to dsyevd.
* */
if (n > 5000) {
magma_queue_sync( stream );
magma_free( dB );
}
timer_start( time );
magma_dsyevd_gpu(jobz, uplo, n, dA, ldda, w, A, lda,
work, lwork, iwork, liwork, info);
timer_stop( time );
timer_printf( "time dsyevd_gpu = %6.2f\n", time );
if (wantz && *info == 0) {
timer_start( time );
/* allocate and copy dB back */
if (n > 5000) {
if (MAGMA_SUCCESS != magma_dmalloc( &dB, n*lddb ) ) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
magma_dsetmatrix( n, n, B, ldb, dB, lddb );
}
/* Backtransform eigenvectors to the original problem. */
if (itype == 1 || itype == 2) {
/* For A*x=(lambda)*B*x and A*B*x=(lambda)*x;
backtransform eigenvectors: x = inv(L)'*y or inv(U)*y */
if (lower) {
trans = MagmaTrans;
} else {
trans = MagmaNoTrans;
}
magma_dtrsm(MagmaLeft, uplo, trans, MagmaNonUnit,
n, n, d_one, dB, lddb, dA, ldda);
}
else if (itype == 3) {
/* For B*A*x=(lambda)*x;
backtransform eigenvectors: x = L*y or U'*y */
if (lower) {
trans = MagmaNoTrans;
} else {
trans = MagmaTrans;
}
magma_dtrmm(MagmaLeft, uplo, trans, MagmaNonUnit,
n, n, d_one, dB, lddb, dA, ldda);
}
magma_dgetmatrix( n, n, dA, ldda, A, lda );
/* free dB */
if (n > 5000) {
magma_free( dB );
}
timer_stop( time );
timer_printf( "time dtrsm/mm + getmatrix = %6.2f\n", time );
}
magma_queue_sync( stream );
magma_queue_destroy( stream );
work[0] = lwmin * one_eps; // round up
iwork[0] = liwmin;
magma_free( dA );
if (n <= 5000) {
magma_free( dB );
}
return *info;
} /* magma_dsygvd */
/**
Purpose
-------
DORGQR generates an M-by-N DOUBLE_PRECISION matrix Q with orthonormal columns,
which is defined as the first N columns of a product of K elementary
reflectors of order M
Q = H(1) H(2) . . . H(k)
as returned by DGEQRF.
This version recomputes the T matrices on the CPU and sends them to the GPU.
Arguments
---------
@param[in]
m INTEGER
The number of rows of the matrix Q. M >= 0.
@param[in]
n INTEGER
The number of columns of the matrix Q. M >= N >= 0.
@param[in]
k INTEGER
The number of elementary reflectors whose product defines the
matrix Q. N >= K >= 0.
@param[in,out]
A DOUBLE_PRECISION array A, dimension (LDDA,N).
On entry, the i-th column must contain the vector
which defines the elementary reflector H(i), for
i = 1,2,...,k, as returned by DGEQRF_GPU in the
first k columns of its array argument A.
On exit, the M-by-N matrix Q.
@param[in]
lda INTEGER
The first dimension of the array A. LDA >= max(1,M).
@param[in]
tau DOUBLE_PRECISION array, dimension (K)
TAU(i) must contain the scalar factor of the elementary
reflector H(i), as returned by DGEQRF_GPU.
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument has an illegal value
@ingroup magma_dgeqrf_comp
********************************************************************/
extern "C" magma_int_t
magma_dorgqr2(magma_int_t m, magma_int_t n, magma_int_t k,
double *A, magma_int_t lda,
double *tau,
magma_int_t *info)
{
#define A(i,j) ( A + (i) + (j)*lda )
#define dA(i,j) (dA + (i) + (j)*ldda)
double c_zero = MAGMA_D_ZERO;
double c_one = MAGMA_D_ONE;
magma_int_t nb = magma_get_dgeqrf_nb(min(m, n));
magma_int_t m_kk, n_kk, k_kk, mi;
magma_int_t lwork, ldda;
magma_int_t i, ib, ki, kk; //, iinfo;
magma_int_t lddwork;
double *dA, *dV, *dW, *dT, *T;
double *work;
*info = 0;
if (m < 0) {
*info = -1;
} else if ((n < 0) || (n > m)) {
*info = -2;
} else if ((k < 0) || (k > n)) {
*info = -3;
} else if (lda < max(1,m)) {
*info = -5;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
if (n <= 0) {
return *info;
}
// first kk columns are handled by blocked method.
// ki is start of 2nd-to-last block
if ((nb > 1) && (nb < k)) {
ki = (k - nb - 1) / nb * nb;
kk = min(k, ki + nb);
} else {
ki = 0;
kk = 0;
}
// Allocate GPU work space
// ldda*n for matrix dA
// ldda*nb for dV
// lddwork*nb for dW larfb workspace
ldda = ((m + 31) / 32) * 32;
lddwork = ((n + 31) / 32) * 32;
if (MAGMA_SUCCESS != magma_dmalloc( &dA, ldda*n + ldda*nb + lddwork*nb + nb*nb)) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
dV = dA + ldda*n;
dW = dA + ldda*n + ldda*nb;
dT = dA + ldda*n + ldda*nb + lddwork*nb;
// Allocate CPU work space
lwork = (n+m+nb) * nb;
magma_dmalloc_cpu( &work, lwork );
T = work;
if (work == NULL) {
magma_free( dA );
magma_free_cpu( work );
*info = MAGMA_ERR_HOST_ALLOC;
return *info;
}
double *V = work + (n+nb)*nb;
magma_queue_t stream;
magma_queue_create( &stream );
// Use unblocked code for the last or only block.
if (kk < n) {
m_kk = m - kk;
n_kk = n - kk;
k_kk = k - kk;
/*
lapackf77_dorgqr( &m_kk, &n_kk, &k_kk,
A(kk, kk), &lda,
&tau[kk], work, &lwork, &iinfo );
*/
lapackf77_dlacpy( MagmaUpperLowerStr, &m_kk, &k_kk, A(kk,kk), &lda, V, &m_kk);
lapackf77_dlaset( MagmaUpperLowerStr, &m_kk, &n_kk, &c_zero, &c_one, A(kk, kk), &lda );
lapackf77_dlarft( MagmaForwardStr, MagmaColumnwiseStr,
&m_kk, &k_kk,
V, &m_kk, &tau[kk], work, &k_kk);
lapackf77_dlarfb( MagmaLeftStr, MagmaNoTransStr, MagmaForwardStr, MagmaColumnwiseStr,
&m_kk, &n_kk, &k_kk,
V, &m_kk, work, &k_kk, A(kk, kk), &lda, work+k_kk*k_kk, &n_kk );
if (kk > 0) {
magma_dsetmatrix( m_kk, n_kk,
A(kk, kk), lda,
dA(kk, kk), ldda );
// Set A(1:kk,kk+1:n) to zero.
magmablas_dlaset( MagmaFull, kk, n - kk, c_zero, c_zero, dA(0, kk), ldda );
}
}
if (kk > 0) {
// Use blocked code
// stream: set Aii (V) --> laset --> laset --> larfb --> [next]
// CPU has no computation
magmablasSetKernelStream( stream );
for (i = ki; i >= 0; i -= nb) {
ib = min(nb, k - i);
// Send current panel to the GPU
mi = m - i;
lapackf77_dlaset( "Upper", &ib, &ib, &c_zero, &c_one, A(i, i), &lda );
magma_dsetmatrix_async( mi, ib,
A(i, i), lda,
dV, ldda, stream );
lapackf77_dlarft( MagmaForwardStr, MagmaColumnwiseStr,
&mi, &ib,
A(i,i), &lda, &tau[i], T, &nb);
magma_dsetmatrix_async( ib, ib,
T, nb,
dT, nb, stream );
// set panel to identity
magmablas_dlaset( MagmaFull, i, ib, c_zero, c_zero, dA(0, i), ldda );
magmablas_dlaset( MagmaFull, mi, ib, c_zero, c_one, dA(i, i), ldda );
magma_queue_sync( stream );
if (i < n) {
// Apply H to A(i:m,i:n) from the left
magma_dlarfb_gpu( MagmaLeft, MagmaNoTrans, MagmaForward, MagmaColumnwise,
mi, n-i, ib,
dV, ldda, dT, nb,
dA(i, i), ldda, dW, lddwork );
}
}
// copy result back to CPU
magma_dgetmatrix( m, n,
dA(0, 0), ldda, A(0, 0), lda);
}
magmablasSetKernelStream( NULL );
magma_queue_destroy( stream );
magma_free( dA );
magma_free_cpu( work );
return *info;
} /* magma_dorgqr */
/***************************************************************************//**
Purpose
-------
DLAUUM computes the product U * U^H or L^H * L, where the triangular
factor U or L is stored in the upper or lower triangular part of
the array A.
If UPLO = MagmaUpper then the upper triangle of the result is stored,
overwriting the factor U in A.
If UPLO = MagmaLower then the lower triangle of the result is stored,
overwriting the factor L in A.
This is the blocked form of the algorithm, calling Level 3 BLAS.
Arguments
---------
@param[in]
uplo magma_uplo_t
Specifies whether the triangular factor stored in the array A
is upper or lower triangular:
- = MagmaUpper: Upper triangular
- = MagmaLower: Lower triangular
@param[in]
n INTEGER
The order of the triangular factor U or L. N >= 0.
@param[in,out]
A DOUBLE PRECISION array, dimension (LDA,N)
On entry, the triangular factor U or L.
On exit, if UPLO = MagmaUpper, the upper triangle of A is
overwritten with the upper triangle of the product U * U^H;
if UPLO = MagmaLower, the lower triangle of A is overwritten with
the lower triangle of the product L^H * L.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,N).
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -k, the k-th argument had an illegal value
@ingroup magma_lauum
*******************************************************************************/
extern "C" magma_int_t
magma_dlauum(
magma_uplo_t uplo, magma_int_t n,
double *A, magma_int_t lda,
magma_int_t *info)
{
#define A(i_, j_) ( A + (i_) + (j_)*lda )
#ifdef HAVE_clBLAS
#define dA(i_, j_) dA, ((i_) + (j_)*ldda)
#else
#define dA(i_, j_) (dA + (i_) + (j_)*ldda)
#endif
/* Constants */
const double c_one = MAGMA_D_ONE;
const double d_one = MAGMA_D_ONE;
const char* uplo_ = lapack_uplo_const( uplo );
/* Local variables */
magma_int_t i, ib, ldda, nb;
magmaDouble_ptr dA;
bool upper = (uplo == MagmaUpper);
*info = 0;
if (! upper && uplo != MagmaLower)
*info = -1;
else if (n < 0)
*info = -2;
else if (lda < max(1,n))
*info = -4;
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
/* Quick return */
if (n == 0)
return *info;
nb = magma_get_dpotrf_nb( n );
ldda = magma_roundup( n, 32 );
if (MAGMA_SUCCESS != magma_dmalloc( &dA, n*ldda )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
magma_queue_t queues[2];
magma_device_t cdev;
magma_getdevice( &cdev );
magma_queue_create( cdev, &queues[0] );
magma_queue_create( cdev, &queues[1] );
if (nb <= 1 || nb >= n) {
lapackf77_dlauum( uplo_, &n, A, &lda, info );
}
else if (upper) {
/* Compute the product U * U^H. */
// Computing 2nd block column (diagonal & above):
// [ u11 u12 u13 ] [ u11^H ] [ ... u12*u22^H + u13*u23^H ... ]
// [ u22 u23 ] * [ u12^H u22^H ] = [ ... u22*u22^H + u23*u23^H ... ]
// [ u33 ] [ u13^H u23^H u33^H ] [ ... ... ... ]
for (i=0; i < n; i += nb) {
ib = min( nb, n-i );
// Send diagonl block, u22
// This must finish before lauum below
magma_dsetmatrix( ib, ib,
A(i,i), lda,
dA(i,i), ldda, queues[0] );
// Send right of diagonl block, u23
magma_dsetmatrix_async( ib, n-i-ib,
A(i,i+ib), lda,
dA(i,i+ib), ldda, queues[1] );
// u12 = u12 * u22^H
magma_dtrmm( MagmaRight, MagmaUpper,
MagmaConjTrans, MagmaNonUnit, i, ib, c_one,
dA(i,i), ldda,
dA(0,i), ldda, queues[0] );
// u22 = u22 * u22^H
lapackf77_dlauum( MagmaUpperStr, &ib, A(i,i), &lda, info );
magma_dsetmatrix_async( ib, ib,
A(i,i), lda,
dA(i,i), ldda, queues[0] );
if (i+ib < n) {
// wait for u23
magma_queue_sync( queues[1] );
// u12 += u13 * u23^H
magma_dgemm( MagmaNoTrans, MagmaConjTrans,
i, ib, n-i-ib,
c_one, dA(0,i+ib), ldda,
dA(i,i+ib), ldda,
c_one, dA(0,i), ldda, queues[0] );
// u22 += u23 * u23^H
magma_dsyrk( MagmaUpper, MagmaNoTrans, ib, n-i-ib,
d_one, dA(i,i+ib), ldda,
d_one, dA(i,i), ldda, queues[0] );
}
// Get diagonal block & above of current column from device
// This could be on a different queue -- not needed until return
magma_dgetmatrix_async( i+ib, ib,
dA(0,i), ldda,
A(0,i), lda, queues[0] );
}
}
else {
/* Compute the product L^H * L. */
for (i=0; i < n; i += nb) {
ib = min( nb, n-i );
magma_dsetmatrix( ib, ib,
A(i,i), lda,
dA(i,i), ldda, queues[0] );
magma_dsetmatrix_async( n-i-ib, ib,
A(i+ib,i), lda,
dA(i+ib,i), ldda, queues[1] );
magma_dtrmm( MagmaLeft, MagmaLower,
MagmaConjTrans, MagmaNonUnit, ib, i, c_one,
dA(i,i), ldda,
dA(i,0), ldda, queues[0] );
lapackf77_dlauum( MagmaLowerStr, &ib, A(i,i), &lda, info );
magma_dsetmatrix_async( ib, ib,
A(i,i), lda,
dA(i,i), ldda, queues[0] );
if (i+ib < n) {
magma_queue_sync( queues[1] );
magma_dgemm( MagmaConjTrans, MagmaNoTrans,
ib, i, n-i-ib,
c_one, dA(i+ib,i), ldda,
dA(i+ib,0), ldda,
c_one, dA(i,0), ldda, queues[0] );
magma_dsyrk( MagmaLower, MagmaConjTrans, ib, n-i-ib,
d_one, dA(i+ib,i), ldda,
d_one, dA(i,i), ldda, queues[0] );
}
magma_dgetmatrix_async( ib, i+ib,
dA(i,0), ldda,
A(i,0), lda, queues[0] );
}
}
magma_queue_destroy( queues[0] );
magma_queue_destroy( queues[1] );
magma_free( dA );
return *info;
}
/**
Purpose
-------
DGEQLF computes a QL factorization of a DOUBLE_PRECISION M-by-N matrix A:
A = Q * L.
Arguments
---------
@param[in]
m INTEGER
The number of rows of the matrix A. M >= 0.
@param[in]
n INTEGER
The number of columns of the matrix A. N >= 0.
@param[in,out]
A DOUBLE_PRECISION array, dimension (LDA,N)
On entry, the M-by-N matrix A.
On exit, if m >= n, the lower triangle of the subarray
A(m-n+1:m,1:n) contains the N-by-N lower triangular matrix L;
if m <= n, the elements on and below the (n-m)-th
superdiagonal contain the M-by-N lower trapezoidal matrix L;
the remaining elements, with the array TAU, represent the
orthogonal matrix Q as a product of elementary reflectors
(see Further Details).
\n
Higher performance is achieved if A is in pinned memory, e.g.
allocated using magma_malloc_pinned.
@param[in]
lda INTEGER
The leading dimension of the array A. LDA >= max(1,M).
@param[out]
tau DOUBLE_PRECISION array, dimension (min(M,N))
The scalar factors of the elementary reflectors (see Further
Details).
@param[out]
work (workspace) DOUBLE_PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK[0] returns the optimal LWORK.
\n
Higher performance is achieved if WORK is in pinned memory, e.g.
allocated using magma_malloc_pinned.
@param[in]
lwork INTEGER
The dimension of the array WORK. LWORK >= max(1,N,2*NB^2).
For optimum performance LWORK >= max(N*NB, 2*NB^2) where NB can be obtained
through magma_get_dgeqlf_nb(M).
\n
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued by XERBLA.
@param[out]
info INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
or another error occured, such as memory allocation failed.
Further Details
---------------
The matrix Q is represented as a product of elementary reflectors
Q = H(k) . . . H(2) H(1), where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(m-k+i+1:m) = 0 and v(m-k+i) = 1; v(1:m-k+i-1) is stored on exit in
A(1:m-k+i-1,n-k+i), and tau in TAU(i).
@ingroup magma_dgeqlf_comp
********************************************************************/
extern "C" magma_int_t
magma_dgeqlf(
magma_int_t m, magma_int_t n,
double *A, magma_int_t lda, double *tau,
double *work, magma_int_t lwork,
magma_int_t *info)
{
#define A(i_,j_) ( A + (i_) + (j_)*lda)
#define dA(i_,j_) (dA + (i_) + (j_)*ldda)
#define dwork(i_) (dwork + (i_))
magmaDouble_ptr dA, dwork;
double c_one = MAGMA_D_ONE;
magma_int_t i, k, lddwork, old_i, old_ib, nb;
magma_int_t rows, cols;
magma_int_t ib, ki, kk, mu, nu, iinfo, ldda;
int lquery;
nb = magma_get_dgeqlf_nb(m);
*info = 0;
lquery = (lwork == -1);
// silence "uninitialized" warnings
old_ib = nb;
old_i = 0;
if (m < 0) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (lda < max(1,m)) {
*info = -4;
}
k = min(m,n);
if (*info == 0) {
if (k == 0)
work[0] = c_one;
else {
work[0] = MAGMA_D_MAKE( max(n*nb, 2*nb*nb), 0 );
}
if (lwork < max(max(1,n), 2*nb*nb) && ! lquery)
*info = -7;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
else if (lquery)
return *info;
/* Quick return if possible */
if (k == 0)
return *info;
lddwork = ((n+31)/32)*32;
ldda = ((m+31)/32)*32;
if (MAGMA_SUCCESS != magma_dmalloc( &dA, (n)*ldda + nb*lddwork )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
dwork = dA + ldda*n;
magma_queue_t queues[2];
magma_queue_create( &queues[0] );
magma_queue_create( &queues[1] );
if ( (nb > 1) && (nb < k) ) {
/* Use blocked code initially.
The last kk columns are handled by the block method.
First, copy the matrix on the GPU except the last kk columns */
magma_dsetmatrix_async( m, n-nb,
A(0, 0), lda,
dA(0, 0), ldda, queues[0] );
ki = ((k - nb - 1) / nb) * nb;
kk = min(k, ki + nb);
for (i = k - kk + ki; i >= k -kk; i -= nb) {
ib = min(k-i,nb);
if (i < k - kk + ki) {
/* 1. Copy asynchronously the current panel to the CPU.
2. Copy asynchronously the submatrix below the panel
to the CPU) */
rows = m - k + i + ib;
magma_dgetmatrix_async( rows, ib,
dA(0, n-k+i), ldda,
A(0, n-k+i), lda, queues[1] );
magma_dgetmatrix_async( m-rows, ib,
dA(rows, n-k+i), ldda,
A(rows, n-k+i), lda, queues[0] );
/* Apply H' to A(1:m-k+i+ib-1,1:n-k+i-1) from the left in
two steps - implementing the lookahead techniques.
This is the main update from the lookahead techniques. */
rows = m - k + old_i + old_ib;
cols = n - k + old_i - old_ib;
magma_dlarfb_gpu( MagmaLeft, MagmaConjTrans, MagmaBackward, MagmaColumnwise,
rows, cols, old_ib,
dA(0, cols+old_ib), ldda, dwork(0), lddwork,
dA(0, 0 ), ldda, dwork(old_ib), lddwork);
}
magma_queue_sync( queues[1] );
/* Compute the QL factorization of the current block
A(1:m-k+i+ib-1,n-k+i:n-k+i+ib-1) */
rows = m - k + i + ib;
cols = n - k + i;
lapackf77_dgeqlf( &rows, &ib, A(0,cols), &lda, tau+i, work, &lwork, &iinfo );
if (cols > 0) {
/* Form the triangular factor of the block reflector
H = H(i+ib-1) . . . H(i+1) H(i) */
lapackf77_dlarft( MagmaBackwardStr, MagmaColumnwiseStr,
&rows, &ib,
A(0, cols), &lda, tau + i, work, &ib);
dpanel_to_q( MagmaLower, ib, A(rows-ib,cols), lda, work+ib*ib);
magma_dsetmatrix( rows, ib,
A(0,cols), lda,
dA(0,cols), ldda );
dq_to_panel( MagmaLower, ib, A(rows-ib,cols), lda, work+ib*ib);
// Send the triangular part on the GPU
magma_dsetmatrix( ib, ib, work, ib, dwork(0), lddwork );
/* Apply H' to A(1:m-k+i+ib-1,1:n-k+i-1) from the left in
two steps - implementing the lookahead techniques.
This is the update of first ib columns. */
if (i-ib >= k -kk)
magma_dlarfb_gpu( MagmaLeft, MagmaConjTrans, MagmaBackward, MagmaColumnwise,
rows, ib, ib,
dA(0, cols), ldda, dwork(0), lddwork,
dA(0,cols-ib), ldda, dwork(ib), lddwork);
else {
magma_dlarfb_gpu( MagmaLeft, MagmaConjTrans, MagmaBackward, MagmaColumnwise,
rows, cols, ib,
dA(0, cols), ldda, dwork(0), lddwork,
dA(0, 0 ), ldda, dwork(ib), lddwork);
}
old_i = i;
old_ib = ib;
}
}
mu = m - k + i + nb;
nu = n - k + i + nb;
magma_dgetmatrix( m, nu, dA(0,0), ldda, A(0,0), lda );
} else {
mu = m;
nu = n;
}
/* Use unblocked code to factor the last or only block */
if (mu > 0 && nu > 0)
lapackf77_dgeqlf(&mu, &nu, A(0,0), &lda, tau, work, &lwork, &iinfo);
magma_queue_destroy( queues[0] );
magma_queue_destroy( queues[1] );
magma_free( dA );
return *info;
} /* magma_dgeqlf */
magma_int_t
magma_dpgmres( magma_d_sparse_matrix A, magma_d_vector b, magma_d_vector *x,
magma_d_solver_par *solver_par,
magma_d_preconditioner *precond_par ){
// prepare solver feedback
solver_par->solver = Magma_PGMRES;
solver_par->numiter = 0;
solver_par->info = 0;
// local variables
double c_zero = MAGMA_D_ZERO, c_one = MAGMA_D_ONE,
c_mone = MAGMA_D_NEG_ONE;
magma_int_t dofs = A.num_rows;
magma_int_t i, j, k, m = 0;
magma_int_t restart = min( dofs-1, solver_par->restart );
magma_int_t ldh = restart+1;
double nom, rNorm, RNorm, nom0, betanom, r0 = 0.;
// CPU workspace
magma_setdevice(0);
double *H, *HH, *y, *h1;
magma_dmalloc_pinned( &H, (ldh+1)*ldh );
magma_dmalloc_pinned( &y, ldh );
magma_dmalloc_pinned( &HH, ldh*ldh );
magma_dmalloc_pinned( &h1, ldh );
// GPU workspace
magma_d_vector r, q, q_t, z, z_t, t;
magma_d_vinit( &t, Magma_DEV, dofs, c_zero );
magma_d_vinit( &r, Magma_DEV, dofs, c_zero );
magma_d_vinit( &q, Magma_DEV, dofs*(ldh+1), c_zero );
magma_d_vinit( &z, Magma_DEV, dofs*(ldh+1), c_zero );
magma_d_vinit( &z_t, Magma_DEV, dofs, c_zero );
q_t.memory_location = Magma_DEV;
q_t.val = NULL;
q_t.num_rows = q_t.nnz = dofs;
double *dy, *dH = NULL;
if (MAGMA_SUCCESS != magma_dmalloc( &dy, ldh ))
return MAGMA_ERR_DEVICE_ALLOC;
if (MAGMA_SUCCESS != magma_dmalloc( &dH, (ldh+1)*ldh ))
return MAGMA_ERR_DEVICE_ALLOC;
// GPU stream
magma_queue_t stream[2];
magma_event_t event[1];
magma_queue_create( &stream[0] );
magma_queue_create( &stream[1] );
magma_event_create( &event[0] );
magmablasSetKernelStream(stream[0]);
magma_dscal( dofs, c_zero, x->val, 1 ); // x = 0
magma_dcopy( dofs, b.val, 1, r.val, 1 ); // r = b
nom0 = betanom = magma_dnrm2( dofs, r.val, 1 ); // nom0= || r||
nom = nom0 * nom0;
solver_par->init_res = nom0;
H(1,0) = MAGMA_D_MAKE( nom0, 0. );
magma_dsetvector(1, &H(1,0), 1, &dH(1,0), 1);
if ( (r0 = nom * solver_par->epsilon) < ATOLERANCE )
r0 = ATOLERANCE;
if ( nom < r0 )
return MAGMA_SUCCESS;
//Chronometry
real_Double_t tempo1, tempo2;
magma_device_sync(); tempo1=magma_wtime();
if( solver_par->verbose > 0 ){
solver_par->res_vec[0] = nom0;
solver_par->timing[0] = 0.0;
}
// start iteration
for( solver_par->numiter= 1; solver_par->numiter<solver_par->maxiter;
solver_par->numiter++ ){
magma_dcopy(dofs, r.val, 1, q(0), 1); // q[0] = 1.0/H(1,0) r
magma_dscal(dofs, 1./H(1,0), q(0), 1); // (to be fused)
for(k=1; k<=restart; k++) {
q_t.val = q(k-1);
magmablasSetKernelStream(stream[0]);
// preconditioner
// z[k] = M^(-1) q(k)
magma_d_applyprecond_left( A, q_t, &t, precond_par );
magma_d_applyprecond_right( A, t, &z_t, precond_par );
magma_dcopy(dofs, z_t.val, 1, z(k-1), 1);
// r = A q[k]
magma_d_spmv( c_one, A, z_t, c_zero, r );
if (solver_par->ortho == Magma_MGS ) {
// modified Gram-Schmidt
magmablasSetKernelStream(stream[0]);
for (i=1; i<=k; i++) {
H(i,k) =magma_ddot(dofs, q(i-1), 1, r.val, 1);
// H(i,k) = q[i] . r
magma_daxpy(dofs,-H(i,k), q(i-1), 1, r.val, 1);
// r = r - H(i,k) q[i]
}
H(k+1,k) = MAGMA_D_MAKE( magma_dnrm2(dofs, r.val, 1), 0. );
// H(k+1,k) = sqrt(r . r)
if (k < restart) {
magma_dcopy(dofs, r.val, 1, q(k), 1);
// q[k] = 1.0/H[k][k-1] r
magma_dscal(dofs, 1./H(k+1,k), q(k), 1);
// (to be fused)
}
} else if (solver_par->ortho == Magma_FUSED_CGS ) {
// fusing dgemv with dnrm2 in classical Gram-Schmidt
magmablasSetKernelStream(stream[0]);
magma_dcopy(dofs, r.val, 1, q(k), 1);
// dH(1:k+1,k) = q[0:k] . r
magmablas_dgemv(MagmaTrans, dofs, k+1, c_one, q(0),
dofs, r.val, 1, c_zero, &dH(1,k), 1);
// r = r - q[0:k-1] dH(1:k,k)
magmablas_dgemv(MagmaNoTrans, dofs, k, c_mone, q(0),
dofs, &dH(1,k), 1, c_one, r.val, 1);
// 1) dH(k+1,k) = sqrt( dH(k+1,k) - dH(1:k,k) )
magma_dcopyscale( dofs, k, r.val, q(k), &dH(1,k) );
// 2) q[k] = q[k] / dH(k+1,k)
magma_event_record( event[0], stream[0] );
magma_queue_wait_event( stream[1], event[0] );
magma_dgetvector_async(k+1, &dH(1,k), 1, &H(1,k), 1, stream[1]);
// asynch copy dH(1:(k+1),k) to H(1:(k+1),k)
} else {
// classical Gram-Schmidt (default)
// > explicitly calling magmabls
magmablasSetKernelStream(stream[0]);
magmablas_dgemv(MagmaTrans, dofs, k, c_one, q(0),
dofs, r.val, 1, c_zero, &dH(1,k), 1);
// dH(1:k,k) = q[0:k-1] . r
#ifndef DNRM2SCALE
// start copying dH(1:k,k) to H(1:k,k)
magma_event_record( event[0], stream[0] );
magma_queue_wait_event( stream[1], event[0] );
magma_dgetvector_async(k, &dH(1,k), 1, &H(1,k),
1, stream[1]);
#endif
// r = r - q[0:k-1] dH(1:k,k)
magmablas_dgemv(MagmaNoTrans, dofs, k, c_mone, q(0),
dofs, &dH(1,k), 1, c_one, r.val, 1);
#ifdef DNRM2SCALE
magma_dcopy(dofs, r.val, 1, q(k), 1);
// q[k] = r / H(k,k-1)
magma_dnrm2scale(dofs, q(k), dofs, &dH(k+1,k) );
// dH(k+1,k) = sqrt(r . r) and r = r / dH(k+1,k)
magma_event_record( event[0], stream[0] );
// start sending dH(1:k,k) to H(1:k,k)
magma_queue_wait_event( stream[1], event[0] );
// can we keep H(k+1,k) on GPU and combine?
magma_dgetvector_async(k+1, &dH(1,k), 1, &H(1,k), 1, stream[1]);
#else
H(k+1,k) = MAGMA_D_MAKE( magma_dnrm2(dofs, r.val, 1), 0. );
// H(k+1,k) = sqrt(r . r)
if( k<solver_par->restart ){
magmablasSetKernelStream(stream[0]);
magma_dcopy(dofs, r.val, 1, q(k), 1);
// q[k] = 1.0/H[k][k-1] r
magma_dscal(dofs, 1./H(k+1,k), q(k), 1);
// (to be fused)
}
#endif
}
}
magma_queue_sync( stream[1] );
for( k=1; k<=restart; k++ ){
/* Minimization of || b-Ax || in H_k */
for (i=1; i<=k; i++) {
#if defined(PRECISION_z) || defined(PRECISION_c)
cblas_ddot_sub( i+1, &H(1,k), 1, &H(1,i), 1, &HH(k,i) );
#else
HH(k,i) = cblas_ddot(i+1, &H(1,k), 1, &H(1,i), 1);
#endif
}
h1[k] = H(1,k)*H(1,0);
if (k != 1)
for (i=1; i<k; i++) {
for (m=i+1; m<k; m++){
HH(k,m) -= HH(k,i) * HH(m,i);
}
HH(k,k) -= HH(k,i) * HH(k,i) / HH(i,i);
HH(k,i) = HH(k,i)/HH(i,i);
h1[k] -= h1[i] * HH(k,i);
}
y[k] = h1[k]/HH(k,k);
if (k != 1)
for (i=k-1; i>=1; i--) {
y[i] = h1[i]/HH(i,i);
for (j=i+1; j<=k; j++)
y[i] -= y[j] * HH(j,i);
}
m = k;
rNorm = fabs(MAGMA_D_REAL(H(k+1,k)));
}
magma_dsetmatrix_async(m, 1, y+1, m, dy, m, stream[0]);
magmablasSetKernelStream(stream[0]);
magma_dgemv(MagmaNoTrans, dofs, m, c_one, z(0), dofs, dy, 1,
c_one, x->val, 1);
magma_d_spmv( c_mone, A, *x, c_zero, r ); // r = - A * x
magma_daxpy(dofs, c_one, b.val, 1, r.val, 1); // r = r + b
H(1,0) = MAGMA_D_MAKE( magma_dnrm2(dofs, r.val, 1), 0. );
// RNorm = H[1][0] = || r ||
RNorm = MAGMA_D_REAL( H(1,0) );
betanom = fabs(RNorm);
if( solver_par->verbose > 0 ){
magma_device_sync(); tempo2=magma_wtime();
if( (solver_par->numiter)%solver_par->verbose==0 ) {
solver_par->res_vec[(solver_par->numiter)/solver_par->verbose]
= (real_Double_t) betanom;
solver_par->timing[(solver_par->numiter)/solver_par->verbose]
= (real_Double_t) tempo2-tempo1;
}
}
if ( betanom < r0 ) {
break;
}
}
magma_device_sync(); tempo2=magma_wtime();
solver_par->runtime = (real_Double_t) tempo2-tempo1;
double residual;
magma_dresidual( A, b, *x, &residual );
solver_par->iter_res = betanom;
solver_par->final_res = residual;
if( solver_par->numiter < solver_par->maxiter){
solver_par->info = 0;
}else if( solver_par->init_res > solver_par->final_res ){
if( solver_par->verbose > 0 ){
if( (solver_par->numiter)%solver_par->verbose==0 ) {
solver_par->res_vec[(solver_par->numiter)/solver_par->verbose]
= (real_Double_t) betanom;
solver_par->timing[(solver_par->numiter)/solver_par->verbose]
= (real_Double_t) tempo2-tempo1;
}
}
solver_par->info = -2;
}
else{
if( solver_par->verbose > 0 ){
if( (solver_par->numiter)%solver_par->verbose==0 ) {
solver_par->res_vec[(solver_par->numiter)/solver_par->verbose]
= (real_Double_t) betanom;
solver_par->timing[(solver_par->numiter)/solver_par->verbose]
= (real_Double_t) tempo2-tempo1;
}
}
solver_par->info = -1;
}
// free pinned memory
magma_free_pinned( H );
magma_free_pinned( y );
magma_free_pinned( HH );
magma_free_pinned( h1 );
// free GPU memory
magma_free(dy);
if (dH != NULL ) magma_free(dH);
magma_d_vfree(&t);
magma_d_vfree(&r);
magma_d_vfree(&q);
magma_d_vfree(&z);
magma_d_vfree(&z_t);
// free GPU streams and events
magma_queue_destroy( stream[0] );
magma_queue_destroy( stream[1] );
magma_event_destroy( event[0] );
magmablasSetKernelStream(NULL);
return MAGMA_SUCCESS;
} /* magma_dgmres */