extern "C" magma_int_t
magma_zgeev(magma_vec_t jobvl, magma_vec_t jobvr, magma_int_t n,
magmaDoubleComplex *a, magma_int_t lda,
magmaDoubleComplex *geev_w_array,
magmaDoubleComplex *vl, magma_int_t ldvl,
magmaDoubleComplex *vr, magma_int_t ldvr,
magmaDoubleComplex *work, magma_int_t lwork,
double *rwork, magma_int_t *info, magma_queue_t queue)
{
/* -- clMAGMA (version 1.0.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
September 2012
Purpose
=======
ZGEEV computes for an N-by-N complex nonsymmetric matrix A, the
eigenvalues and, optionally, the left and/or right eigenvectors.
The right eigenvector v(j) of A satisfies
A * v(j) = lambda(j) * v(j)
where lambda(j) is its eigenvalue.
The left eigenvector u(j) of A satisfies
u(j)**H * A = lambda(j) * u(j)**H
where u(j)**H denotes the conjugate transpose of u(j).
The computed eigenvectors are normalized to have Euclidean norm
equal to 1 and largest component real.
Arguments
=========
JOBVL (input) CHARACTER*1
= 'N': left eigenvectors of A are not computed;
= 'V': left eigenvectors of are computed.
JOBVR (input) CHARACTER*1
= 'N': right eigenvectors of A are not computed;
= 'V': right eigenvectors of A are computed.
N (input) INTEGER
The order of the matrix A. N >= 0.
A (input/output) COMPLEX*16 array, dimension (LDA,N)
On entry, the N-by-N matrix A.
On exit, A has been overwritten.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,N).
W (output) COMPLEX*16 array, dimension (N)
W contains the computed eigenvalues.
VL (output) COMPLEX*16 array, dimension (LDVL,N)
If JOBVL = 'V', the left eigenvectors u(j) are stored one
after another in the columns of VL, in the same order
as their eigenvalues.
If JOBVL = 'N', VL is not referenced.
u(j) = VL(:,j), the j-th column of VL.
LDVL (input) INTEGER
The leading dimension of the array VL. LDVL >= 1; if
JOBVL = 'V', LDVL >= N.
VR (output) COMPLEX*16 array, dimension (LDVR,N)
If JOBVR = 'V', the right eigenvectors v(j) are stored one
after another in the columns of VR, in the same order
as their eigenvalues.
If JOBVR = 'N', VR is not referenced.
v(j) = VR(:,j), the j-th column of VR.
LDVR (input) INTEGER
The leading dimension of the array VR. LDVR >= 1; if
JOBVR = 'V', LDVR >= N.
WORK (workspace/output) COMPLEX*16 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. LWORK >= (1+nb)*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.
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.
> 0: if INFO = i, the QR algorithm failed to compute all the
eigenvalues, and no eigenvectors have been computed;
elements and i+1:N of W contain eigenvalues which have
converged.
===================================================================== */
magma_int_t c__1 = 1;
magma_int_t c__0 = 0;
magma_int_t a_dim1, a_offset, vl_dim1, vl_offset, vr_dim1, vr_offset, i__1,
i__2, i__3;
double d__1, d__2;
magmaDoubleComplex z__1, z__2;
magma_int_t i__, k, ihi;
double scl;
magma_int_t ilo;
double dum[1], eps;
magmaDoubleComplex tmp;
magma_int_t ibal;
double anrm;
magma_int_t ierr, itau, iwrk, nout;
magma_int_t scalea;
double cscale;
magma_int_t select[1];
double bignum;
magma_int_t minwrk;
magma_int_t wantvl;
double smlnum;
magma_int_t irwork;
magma_int_t lquery, wantvr;
magma_int_t nb = 0;
magmaDoubleComplex_ptr dT;
//magma_timestr_t start, end;
char side[2] = {0, 0};
magma_vec_t jobvl_ = jobvl;
magma_vec_t jobvr_ = jobvr;
*info = 0;
lquery = lwork == -1;
wantvl = lapackf77_lsame(lapack_const(jobvl_), "V");
wantvr = lapackf77_lsame(lapack_const(jobvr_), "V");
if (! wantvl && ! lapackf77_lsame(lapack_const(jobvl_), "N")) {
*info = -1;
} else if (! wantvr && ! lapackf77_lsame(lapack_const(jobvr_), "N")) {
*info = -2;
} else if (n < 0) {
*info = -3;
} else if (lda < max(1,n)) {
*info = -5;
} else if ( (ldvl < 1) || (wantvl && (ldvl < n))) {
*info = -8;
} else if ( (ldvr < 1) || (wantvr && (ldvr < n))) {
*info = -10;
}
/* Compute workspace */
if (*info == 0) {
nb = magma_get_zgehrd_nb(n);
minwrk = (1+nb)*n;
work[0] = MAGMA_Z_MAKE((double) minwrk, 0.);
if (lwork < minwrk && ! lquery) {
*info = -12;
}
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
else if (lquery) {
return *info;
}
/* Quick return if possible */
if (n == 0) {
return *info;
}
// if eigenvectors are needed
#if defined(VERSION3)
if (MAGMA_SUCCESS != magma_malloc(&dT, nb*n*sizeof(magmaDoubleComplex) )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
#endif
a_dim1 = lda;
a_offset = 1 + a_dim1;
a -= a_offset;
vl_dim1 = ldvl;
vl_offset = 1 + vl_dim1;
vl -= vl_offset;
vr_dim1 = ldvr;
vr_offset = 1 + vr_dim1;
vr -= vr_offset;
--work;
--rwork;
/* Get machine constants */
eps = lapackf77_dlamch("P");
smlnum = lapackf77_dlamch("S");
bignum = 1. / smlnum;
lapackf77_dlabad(&smlnum, &bignum);
smlnum = magma_dsqrt(smlnum) / eps;
bignum = 1. / smlnum;
/* Scale A if max element outside range [SMLNUM,BIGNUM] */
anrm = lapackf77_zlange("M", &n, &n, &a[a_offset], &lda, dum);
scalea = 0;
if (anrm > 0. && anrm < smlnum) {
scalea = 1;
cscale = smlnum;
} else if (anrm > bignum) {
scalea = 1;
cscale = bignum;
}
if (scalea) {
lapackf77_zlascl("G", &c__0, &c__0, &anrm, &cscale, &n, &n, &a[a_offset], &lda, &
ierr);
}
/* Balance the matrix
(CWorkspace: none)
(RWorkspace: need N) */
ibal = 1;
lapackf77_zgebal("B", &n, &a[a_offset], &lda, &ilo, &ihi, &rwork[ibal], &ierr);
/* Reduce to upper Hessenberg form
(CWorkspace: need 2*N, prefer N+N*NB)
(RWorkspace: none) */
itau = 1;
iwrk = itau + n;
i__1 = lwork - iwrk + 1;
//start = get_current_time();
#if defined(VERSION1)
/*
* Version 1 - LAPACK
*/
lapackf77_zgehrd(&n, &ilo, &ihi, &a[a_offset], &lda,
&work[itau], &work[iwrk], &i__1, &ierr);
#elif defined(VERSION2)
/*
* Version 2 - LAPACK consistent HRD
*/
magma_zgehrd2(n, ilo, ihi, &a[a_offset], lda,
&work[itau], &work[iwrk], &i__1, &ierr);
#elif defined(VERSION3)
/*
* Version 3 - LAPACK consistent MAGMA HRD + matrices T stored,
*/
magma_zgehrd(n, ilo, ihi, &a[a_offset], lda,
&work[itau], &work[iwrk], i__1, dT, 0, &ierr, queue);
#endif
//end = get_current_time();
//printf(" Time for zgehrd = %5.2f sec\n", GetTimerValue(start,end)/1000.);
if (wantvl) {
/* Want left eigenvectors
Copy Householder vectors to VL */
side[0] = 'L';
lapackf77_zlacpy(MagmaLowerStr, &n, &n,
&a[a_offset], &lda, &vl[vl_offset], &ldvl);
/* Generate unitary matrix in VL
(CWorkspace: need 2*N-1, prefer N+(N-1)*NB)
(RWorkspace: none) */
i__1 = lwork - iwrk + 1;
//start = get_current_time();
#if defined(VERSION1) || defined(VERSION2)
/*
* Version 1 & 2 - LAPACK
*/
lapackf77_zunghr(&n, &ilo, &ihi, &vl[vl_offset], &ldvl,
&work[itau], &work[iwrk], &i__1, &ierr);
#elif defined(VERSION3)
/*
* Version 3 - LAPACK consistent MAGMA HRD + matrices T stored
*/
magma_zunghr(n, ilo, ihi, &vl[vl_offset], ldvl, &work[itau],
dT, 0, nb, &ierr, queue);
#endif
//end = get_current_time();
//printf(" Time for zunghr = %5.2f sec\n", GetTimerValue(start,end)/1000.);
/* Perform QR iteration, accumulating Schur vectors in VL
(CWorkspace: need 1, prefer HSWORK (see comments) )
(RWorkspace: none) */
iwrk = itau;
i__1 = lwork - iwrk + 1;
lapackf77_zhseqr("S", "V", &n, &ilo, &ihi, &a[a_offset], &lda, geev_w_array,
&vl[vl_offset], &ldvl, &work[iwrk], &i__1, info);
if (wantvr)
{
/* Want left and right eigenvectors
Copy Schur vectors to VR */
side[0] = 'B';
lapackf77_zlacpy("F", &n, &n, &vl[vl_offset], &ldvl, &vr[vr_offset], &ldvr);
}
} else if (wantvr) {
/* Want right eigenvectors
Copy Householder vectors to VR */
side[0] = 'R';
lapackf77_zlacpy("L", &n, &n, &a[a_offset], &lda, &vr[vr_offset], &ldvr);
/* Generate unitary matrix in VR
(CWorkspace: need 2*N-1, prefer N+(N-1)*NB)
(RWorkspace: none) */
i__1 = lwork - iwrk + 1;
//start = get_current_time();
#if defined(VERSION1) || defined(VERSION2)
/*
* Version 1 & 2 - LAPACK
*/
lapackf77_zunghr(&n, &ilo, &ihi, &vr[vr_offset], &ldvr,
&work[itau], &work[iwrk], &i__1, &ierr);
#elif defined(VERSION3)
/*
* Version 3 - LAPACK consistent MAGMA HRD + matrices T stored
*/
magma_zunghr(n, ilo, ihi, &vr[vr_offset], ldvr,
&work[itau], dT, 0, nb, &ierr, queue);
#endif
//end = get_current_time();
//printf(" Time for zunghr = %5.2f sec\n", GetTimerValue(start,end)/1000.);
/* Perform QR iteration, accumulating Schur vectors in VR
(CWorkspace: need 1, prefer HSWORK (see comments) )
(RWorkspace: none) */
iwrk = itau;
i__1 = lwork - iwrk + 1;
lapackf77_zhseqr("S", "V", &n, &ilo, &ihi, &a[a_offset], &lda, geev_w_array,
&vr[vr_offset], &ldvr, &work[iwrk], &i__1, info);
} else {
/* Compute eigenvalues only
(CWorkspace: need 1, prefer HSWORK (see comments) )
(RWorkspace: none) */
iwrk = itau;
i__1 = lwork - iwrk + 1;
lapackf77_zhseqr("E", "N", &n, &ilo, &ihi, &a[a_offset], &lda, geev_w_array,
&vr[vr_offset], &ldvr, &work[iwrk], &i__1, info);
}
/* If INFO > 0 from ZHSEQR, then quit */
if (*info > 0) {
goto L50;
}
if (wantvl || wantvr) {
/* Compute left and/or right eigenvectors
(CWorkspace: need 2*N)
(RWorkspace: need 2*N) */
irwork = ibal + n;
lapackf77_ztrevc(side, "B", select, &n, &a[a_offset], &lda, &vl[vl_offset], &ldvl,
&vr[vr_offset], &ldvr, &n, &nout, &work[iwrk], &rwork[irwork],
&ierr);
}
if (wantvl) {
/* Undo balancing of left eigenvectors
(CWorkspace: none)
(RWorkspace: need N) */
lapackf77_zgebak("B", "L", &n, &ilo, &ihi, &rwork[ibal], &n,
&vl[vl_offset], &ldvl, &ierr);
/* Normalize left eigenvectors and make largest component real */
for (i__ = 1; i__ <= n; ++i__) {
scl = 1. / cblas_dznrm2(n, &vl[i__ * vl_dim1 + 1], 1);
cblas_zdscal(n, scl, &vl[i__ * vl_dim1 + 1], 1);
i__2 = n;
for (k = 1; k <= i__2; ++k)
{
i__3 = k + i__ * vl_dim1;
/* Computing 2nd power */
d__1 = MAGMA_Z_REAL(vl[i__3]);
/* Computing 2nd power */
d__2 = MAGMA_Z_IMAG(vl[k + i__ * vl_dim1]);
rwork[irwork + k - 1] = d__1 * d__1 + d__2 * d__2;
}
/* Comment:
Fortran BLAS does not have to add 1
C BLAS must add one to cblas_idamax */
k = cblas_idamax(n, &rwork[irwork], 1)+1;
z__2 = MAGMA_Z_CNJG(vl[k + i__ * vl_dim1]);
d__1 = magma_dsqrt(rwork[irwork + k - 1]);
MAGMA_Z_DSCALE(z__1, z__2, d__1);
tmp = z__1;
cblas_zscal(n, CBLAS_SADDR(tmp), &vl[i__ * vl_dim1 + 1], 1);
i__2 = k + i__ * vl_dim1;
i__3 = k + i__ * vl_dim1;
d__1 = MAGMA_Z_REAL(vl[i__3]);
MAGMA_Z_SET2REAL(z__1, d__1);
vl[i__2] = z__1;
}
}
if (wantvr) {
/* Undo balancing of right eigenvectors
(CWorkspace: none)
(RWorkspace: need N) */
lapackf77_zgebak("B", "R", &n, &ilo, &ihi, &rwork[ibal], &n,
&vr[vr_offset], &ldvr, &ierr);
/* Normalize right eigenvectors and make largest component real */
for (i__ = 1; i__ <= n; ++i__) {
scl = 1. / cblas_dznrm2(n, &vr[i__ * vr_dim1 + 1], 1);
cblas_zdscal(n, scl, &vr[i__ * vr_dim1 + 1], 1);
i__2 = n;
for (k = 1; k <= i__2; ++k) {
i__3 = k + i__ * vr_dim1;
/* Computing 2nd power */
d__1 = MAGMA_Z_REAL(vr[i__3]);
/* Computing 2nd power */
d__2 = MAGMA_Z_IMAG(vr[k + i__ * vr_dim1]);
rwork[irwork + k - 1] = d__1 * d__1 + d__2 * d__2;
}
/* Comment:
Fortran BLAS does not have to add 1
C BLAS must add one to cblas_idamax */
k = cblas_idamax(n, &rwork[irwork], 1)+1;
z__2 = MAGMA_Z_CNJG(vr[k + i__ * vr_dim1]);
d__1 = magma_dsqrt(rwork[irwork + k - 1]);
MAGMA_Z_DSCALE(z__1, z__2, d__1);
tmp = z__1;
cblas_zscal(n, CBLAS_SADDR(tmp), &vr[i__ * vr_dim1 + 1], 1);
i__2 = k + i__ * vr_dim1;
i__3 = k + i__ * vr_dim1;
d__1 = MAGMA_Z_REAL(vr[i__3]);
MAGMA_Z_SET2REAL(z__1, d__1);
vr[i__2] = z__1;
}
}
/* Undo scaling if necessary */
L50:
if (scalea) {
i__1 = n - *info;
/* Computing MAX */
i__3 = n - *info;
i__2 = max(i__3,1);
lapackf77_zlascl("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1,
geev_w_array + *info, &i__2, &ierr);
if (*info > 0) {
i__1 = ilo - 1;
lapackf77_zlascl("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1,
geev_w_array, &n, &ierr);
}
}
#if defined(VERSION3)
magma_free( dT );
#endif
return *info;
} /* magma_zgeev */
/* ////////////////////////////////////////////////////////////////////////////
-- Testing zhegvdx
*/
int main( int argc, char** argv)
{
TESTING_INIT_MGPU();
real_Double_t mgpu_time;
magmaDoubleComplex *h_A, *h_Ainit, *h_B, *h_Binit, *h_work;
#if defined(PRECISION_z) || defined(PRECISION_c)
double *rwork;
magma_int_t lrwork;
#endif
double *w1, result;
magma_int_t *iwork;
magma_int_t N, n2, info, lwork, liwork;
magmaDoubleComplex c_zero = MAGMA_Z_ZERO;
magmaDoubleComplex c_one = MAGMA_Z_ONE;
magmaDoubleComplex c_neg_one = MAGMA_Z_NEG_ONE;
magma_int_t ione = 1;
magma_int_t ISEED[4] = {0,0,0,1};
magma_timestr_t start, end;
magma_opts opts;
parse_opts( argc, argv, &opts );
double tol = opts.tolerance * lapackf77_dlamch("E");
char jobz = opts.jobz;
int checkres = opts.check;
char range = 'A';
char uplo = opts.uplo;
magma_int_t itype = opts.itype;
double f = opts.fraction;
if (f != 1)
range='I';
if ( checkres && jobz == MagmaNoVec ) {
fprintf( stderr, "checking results requires vectors; setting jobz=V (option -JV)\n" );
jobz = MagmaVec;
}
printf("using: nrgpu = %d, itype = %d, jobz = %c, range = %c, uplo = %c, checkres = %d, fraction = %6.4f\n",
(int) opts.ngpu, (int) itype, jobz, range, uplo, (int) checkres, f);
printf(" N M nr GPU MGPU Time(s) \n");
printf("====================================\n");
magma_int_t threads = magma_get_numthreads();
for( int i = 0; i < opts.ntest; ++i ) {
for( int iter = 0; iter < opts.niter; ++iter ) {
N = opts.nsize[i];
n2 = N*N;
#if defined(PRECISION_z) || defined(PRECISION_c)
lwork = magma_zbulge_get_lq2(N, threads) + 2*N + N*N;
lrwork = 1 + 5*N +2*N*N;
#else
lwork = magma_zbulge_get_lq2(N, threads) + 1 + 6*N + 2*N*N;
#endif
liwork = 3 + 5*N;
//magma_int_t NB = 96;//magma_bulge_get_nb(N);
//magma_int_t sizvblg = magma_zbulge_get_lq2(N, threads);
//magma_int_t siz = max(sizvblg,n2)+2*(N*NB+N)+24*N;
/* Allocate host memory for the matrix */
TESTING_HOSTALLOC( h_A, magmaDoubleComplex, n2);
TESTING_HOSTALLOC( h_B, magmaDoubleComplex, n2);
TESTING_MALLOC( w1, double , N);
TESTING_HOSTALLOC(h_work, magmaDoubleComplex, lwork);
#if defined(PRECISION_z) || defined(PRECISION_c)
TESTING_HOSTALLOC( rwork, double, lrwork);
#endif
TESTING_MALLOC( iwork, magma_int_t, liwork);
/* Initialize the matrix */
lapackf77_zlarnv( &ione, ISEED, &n2, h_A );
lapackf77_zlarnv( &ione, ISEED, &n2, h_B );
/* increase the diagonal */
{
for(int i=0; i<N; i++) {
MAGMA_Z_SET2REAL( h_B[i*N+i], ( MAGMA_Z_REAL(h_B[i*N+i]) + 1.*N ) );
MAGMA_Z_SET2REAL( h_A[i*N+i], MAGMA_Z_REAL(h_A[i*N+i]) );
}
}
if((opts.warmup)||( checkres )){
TESTING_MALLOC(h_Ainit, magmaDoubleComplex, n2);
TESTING_MALLOC(h_Binit, magmaDoubleComplex, n2);
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_A, &N, h_Ainit, &N );
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_B, &N, h_Binit, &N );
}
magma_int_t m1 = 0;
double vl = 0;
double vu = 0;
magma_int_t il = 0;
magma_int_t iu = 0;
if (range == 'I'){
il = 1;
iu = (int) (f*N);
}
if(opts.warmup){
// ==================================================================
// Warmup using MAGMA. I prefer to use smalltest to warmup A-
// ==================================================================
magma_zhegvdx_2stage_m(opts.ngpu, itype, jobz, range, uplo,
N, h_A, N, h_B, N, vl, vu, il, iu, &m1, w1,
h_work, lwork,
#if defined(PRECISION_z) || defined(PRECISION_c)
rwork, lrwork,
#endif
iwork, liwork,
&info);
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_Ainit, &N, h_A, &N );
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_Binit, &N, h_B, &N );
}
// ===================================================================
// Performs operation using MAGMA
// ===================================================================
start = get_current_time();
magma_zhegvdx_2stage_m(opts.ngpu, itype, jobz, range, uplo,
N, h_A, N, h_B, N, vl, vu, il, iu, &m1, w1,
h_work, lwork,
#if defined(PRECISION_z) || defined(PRECISION_c)
rwork, lrwork,
#endif
iwork, liwork,
&info);
end = get_current_time();
mgpu_time = GetTimerValue(start,end)/1000.;
if ( checkres ) {
// ===================================================================
// Check the results following the LAPACK's [zc]hegvdx routine.
// A x = lambda B x is solved
// and the following 3 tests computed:
// (1) | A Z - B Z D | / ( |A||Z| N ) (itype = 1)
// | A B Z - Z D | / ( |A||Z| N ) (itype = 2)
// | B A Z - Z D | / ( |A||Z| N ) (itype = 3)
// ===================================================================
#if defined(PRECISION_d) || defined(PRECISION_s)
double *rwork = h_work + N*N;
#endif
result = 1.;
result /= lapackf77_zlanhe("1",&uplo, &N, h_Ainit, &N, rwork);
result /= lapackf77_zlange("1",&N , &m1, h_A, &N, rwork);
if (itype == 1){
blasf77_zhemm("L", &uplo, &N, &m1, &c_one, h_Ainit, &N, h_A, &N, &c_zero, h_work, &N);
for(int i=0; i<m1; ++i)
blasf77_zdscal(&N, &w1[i], &h_A[i*N], &ione);
blasf77_zhemm("L", &uplo, &N, &m1, &c_neg_one, h_Binit, &N, h_A, &N, &c_one, h_work, &N);
result *= lapackf77_zlange("1", &N, &m1, h_work, &N, rwork)/N;
}
else if (itype == 2){
blasf77_zhemm("L", &uplo, &N, &m1, &c_one, h_Binit, &N, h_A, &N, &c_zero, h_work, &N);
for(int i=0; i<m1; ++i)
blasf77_zdscal(&N, &w1[i], &h_A[i*N], &ione);
blasf77_zhemm("L", &uplo, &N, &m1, &c_one, h_Ainit, &N, h_work, &N, &c_neg_one, h_A, &N);
result *= lapackf77_zlange("1", &N, &m1, h_A, &N, rwork)/N;
}
else if (itype == 3){
blasf77_zhemm("L", &uplo, &N, &m1, &c_one, h_Ainit, &N, h_A, &N, &c_zero, h_work, &N);
for(int i=0; i<m1; ++i)
blasf77_zdscal(&N, &w1[i], &h_A[i*N], &ione);
blasf77_zhemm("L", &uplo, &N, &m1, &c_one, h_Binit, &N, h_work, &N, &c_neg_one, h_A, &N);
result *= lapackf77_zlange("1", &N, &m1, h_A, &N, rwork)/N;
}
}
// ===================================================================
// Print execution time
// ===================================================================
printf("%5d %5d %2d %6.2f\n",
(int) N, (int) m1, (int) opts.ngpu, mgpu_time);
if ( checkres ){
printf("Testing the eigenvalues and eigenvectors for correctness:\n");
if(itype==1)
printf("(1) | A Z - B Z D | / (|A| |Z| N) = %8.2e%s\n", result, (result < tol ? "" : " failed") );
else if(itype==2)
printf("(1) | A B Z - Z D | / (|A| |Z| N) = %8.2e%s\n", result, (result < tol ? "" : " failed") );
else if(itype==3)
printf("(1) | B A Z - Z D | / (|A| |Z| N) = %8.2e%s\n", result, (result < tol ? "" : " failed") );
}
TESTING_HOSTFREE( h_A);
TESTING_HOSTFREE( h_B);
TESTING_FREE( w1);
#if defined(PRECISION_z) || defined(PRECISION_c)
TESTING_HOSTFREE( rwork);
#endif
TESTING_FREE( iwork);
TESTING_HOSTFREE(h_work);
if((opts.warmup)||( checkres )){
TESTING_FREE( h_Ainit);
TESTING_FREE( h_Binit);
}
}
if ( opts.niter > 1 ) {
printf( "\n" );
}
}
/* Shutdown */
TESTING_FINALIZE_MGPU();
return 0;
}
extern "C" magma_int_t
magma_zhegvdx_2stage_m(magma_int_t nrgpu, magma_int_t itype, char jobz, char range, char uplo, magma_int_t n,
cuDoubleComplex *a, magma_int_t lda, cuDoubleComplex *b, magma_int_t ldb,
double vl, double vu, magma_int_t il, magma_int_t iu,
magma_int_t *m, double *w, cuDoubleComplex *work, magma_int_t lwork, double *rwork,
magma_int_t lrwork, magma_int_t *iwork, magma_int_t liwork, magma_int_t *info)
{
/* -- MAGMA (version 1.3.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
November 2012
Purpose
=======
ZHEGVDX_2STAGE computes all the eigenvalues, and optionally, the eigenvectors
of a complex generalized Hermitian-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 Hermitian and B is also positive definite.
It uses a two-stage algorithm for the tridiagonalization.
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
=========
ITYPE (input) 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
RANGE (input) CHARACTER*1
= 'A': all eigenvalues will be found.
= 'V': all eigenvalues in the half-open interval (VL,VU]
will be found.
= 'I': the IL-th through IU-th eigenvalues will be found.
JOBZ (input) CHARACTER*1
= 'N': Compute eigenvalues only;
= 'V': Compute eigenvalues and eigenvectors.
UPLO (input) CHARACTER*1
= 'U': Upper triangles of A and B are stored;
= 'L': Lower triangles of A and B are stored.
N (input) INTEGER
The order of the matrices A and B. N >= 0.
A (input/output) COMPLEX*16 array, dimension (LDA, N)
On entry, the Hermitian matrix A. If UPLO = 'U', the
leading N-by-N upper triangular part of A contains the
upper triangular part of the matrix A. If UPLO = 'L',
the leading N-by-N lower triangular part of A contains
the lower triangular part of the matrix A.
On exit, if JOBZ = 'V', then if INFO = 0, A contains the
matrix Z of eigenvectors. The eigenvectors are normalized
as follows:
if ITYPE = 1 or 2, Z**H*B*Z = I;
if ITYPE = 3, Z**H*inv(B)*Z = I.
If JOBZ = 'N', then on exit the upper triangle (if UPLO='U')
or the lower triangle (if UPLO='L') of A, including the
diagonal, is destroyed.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,N).
B (input/output) COMPLEX*16 array, dimension (LDB, N)
On entry, the Hermitian matrix B. If UPLO = 'U', the
leading N-by-N upper triangular part of B contains the
upper triangular part of the matrix B. If UPLO = 'L',
the leading N-by-N lower triangular part of B contains
the lower triangular part of the matrix B.
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**H*U or B = L*L**H.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max(1,N).
VL (input) DOUBLE PRECISION
VU (input) DOUBLE PRECISION
If RANGE='V', the lower and upper bounds of the interval to
be searched for eigenvalues. VL < VU.
Not referenced if RANGE = 'A' or 'I'.
IL (input) INTEGER
IU (input) INTEGER
If RANGE='I', the indices (in ascending order) of the
smallest and largest eigenvalues to be returned.
1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if N = 0.
Not referenced if RANGE = 'A' or 'V'.
M (output) INTEGER
The total number of eigenvalues found. 0 <= M <= N.
If RANGE = 'A', M = N, and if RANGE = 'I', M = IU-IL+1.
W (output) DOUBLE PRECISION array, dimension (N)
If INFO = 0, the eigenvalues in ascending order.
WORK (workspace/output) COMPLEX*16 array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The length of the array WORK.
If N <= 1, LWORK >= 1.
If JOBZ = 'N' and N > 1, LWORK >= LQ2 + N * (NB + 1).
If JOBZ = 'V' and N > 1, LWORK >= LQ2 + 2*N + N**2.
where LQ2 is the size needed to store
the Q2 matrix and is returned by
MAGMA_BULGE_GET_LQ2.
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal sizes of the WORK, RWORK and
IWORK arrays, returns these values as the first entries of
the WORK, RWORK and IWORK arrays, and no error message
related to LWORK or LRWORK or LIWORK is issued by XERBLA.
RWORK (workspace/output) DOUBLE PRECISION array, dimension (MAX(1,LRWORK))
On exit, if INFO = 0, RWORK(1) returns the optimal LRWORK.
LRWORK (input) INTEGER
The dimension of the array RWORK.
If N <= 1, LRWORK >= 1.
If JOBZ = 'N' and N > 1, LRWORK >= N.
If JOBZ = 'V' and N > 1, LRWORK >= 1 + 5*N + 2*N**2.
If LRWORK = -1, then a workspace query is assumed; the
routine only calculates the optimal sizes of the WORK, RWORK
and IWORK arrays, returns these values as the first entries
of the WORK, RWORK and IWORK arrays, and no error message
related to LWORK or LRWORK or LIWORK is issued by XERBLA.
IWORK (workspace/output) INTEGER array, dimension (MAX(1,LIWORK))
On exit, if INFO = 0, IWORK(1) returns the optimal LIWORK.
LIWORK (input) INTEGER
The dimension of the array IWORK.
If N <= 1, LIWORK >= 1.
If JOBZ = 'N' and N > 1, LIWORK >= 1.
If JOBZ = 'V' and N > 1, LIWORK >= 3 + 5*N.
If LIWORK = -1, then a workspace query is assumed; the
routine only calculates the optimal sizes of the WORK, RWORK
and IWORK arrays, returns these values as the first entries
of the WORK, RWORK and IWORK arrays, and no error message
related to LWORK or LRWORK or LIWORK is issued by XERBLA.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: ZPOTRF or ZHEEVD returned an error code:
<= N: if INFO = i and JOBZ = 'N', 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 = 'V', 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 ZHEEVD 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.
===================================================================== */
char uplo_[2] = {uplo, 0};
char jobz_[2] = {jobz, 0};
char range_[2] = {range, 0};
cuDoubleComplex c_one = MAGMA_Z_ONE;
magma_int_t lower;
char trans[1];
magma_int_t wantz;
magma_int_t lquery;
magma_int_t alleig, valeig, indeig;
// magma_int_t lopt;
magma_int_t lwmin;
// magma_int_t liopt;
magma_int_t liwmin;
// magma_int_t lropt;
magma_int_t lrwmin;
cudaStream_t stream;
magma_queue_create( &stream );
wantz = lapackf77_lsame(jobz_, MagmaVectorsStr);
lower = lapackf77_lsame(uplo_, MagmaLowerStr);
alleig = lapackf77_lsame(range_, "A");
valeig = lapackf77_lsame(range_, "V");
indeig = lapackf77_lsame(range_, "I");
lquery = lwork == -1 || lrwork == -1 || liwork == -1;
*info = 0;
if (itype < 1 || itype > 3) {
*info = -1;
} else if (! (alleig || valeig || indeig)) {
*info = -2;
} else if (! (wantz || lapackf77_lsame(jobz_, MagmaNoVectorsStr))) {
*info = -3;
} else if (! (lower || lapackf77_lsame(uplo_, MagmaUpperStr))) {
*info = -4;
} else if (n < 0) {
*info = -5;
} else if (lda < max(1,n)) {
*info = -7;
} else if (ldb < max(1,n)) {
*info = -9;
} else {
if (valeig) {
if (n > 0 && vu <= vl) {
*info = -11;
}
} else if (indeig) {
if (il < 1 || il > max(1,n)) {
*info = -12;
} else if (iu < min(n,il) || iu > n) {
*info = -13;
}
}
}
magma_int_t nb = magma_bulge_get_nb(n);
magma_int_t lq2 = magma_zbulge_get_lq2(n);
if (wantz) {
lwmin = lq2 + 2 * n + n * n;
lrwmin = 1 + 5 * n + 2 * n * n;
liwmin = 5 * n + 3;
} else {
lwmin = lq2 + n * (nb + 1);
lrwmin = n;
liwmin = 1;
}
MAGMA_Z_SET2REAL(work[0],(double)lwmin);
rwork[0] = lrwmin;
iwork[0] = liwmin;
if (lwork < lwmin && ! lquery) {
*info = -17;
} else if (lrwork < lrwmin && ! lquery) {
*info = -19;
} else if (liwork < liwmin && ! lquery) {
*info = -21;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info));
return *info;
} else if (lquery) {
return *info;
}
/* Quick return if possible */
if (n == 0) {
return *info;
}
/* Form a Cholesky factorization of B. */
#define ENABLE_TIMER
#ifdef ENABLE_TIMER
magma_timestr_t start, end;
start = get_current_time();
#endif
magma_zpotrf_m(nrgpu, uplo_[0], n, b, ldb, info);
if (*info != 0) {
*info = n + *info;
return *info;
}
#ifdef ENABLE_TIMER
end = get_current_time();
printf("time zpotrf_m = %6.2f\n", GetTimerValue(start,end)/1000.);
#endif
#ifdef ENABLE_TIMER
start = get_current_time();
#endif
/* Transform problem to standard eigenvalue problem and solve. */
magma_zhegst_m(nrgpu, itype, uplo, n, a, lda, b, ldb, info);
#ifdef ENABLE_TIMER
end = get_current_time();
printf("time zhegst_m = %6.2f\n", GetTimerValue(start,end)/1000.);
start = get_current_time();
#endif
magma_zheevdx_2stage_m(nrgpu, jobz, range, uplo, n, a, lda, vl, vu, il, iu, m, w, work, lwork, rwork, lrwork, iwork, liwork, info);
#ifdef ENABLE_TIMER
end = get_current_time();
printf("time zheevdx_2stage_m = %6.2f\n", GetTimerValue(start,end)/1000.);
#endif
if (wantz && *info == 0) {
#ifdef ENABLE_TIMER
start = get_current_time();
#endif
/* 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) {
*(unsigned char *)trans = MagmaConjTrans;
} else {
*(unsigned char *)trans = MagmaNoTrans;
}
magma_ztrsm_m(nrgpu, MagmaLeft, uplo, *trans, MagmaNonUnit, n, *m, c_one, b, ldb, a, lda);
} else if (itype == 3) {
/* For B*A*x=(lambda)*x;
backtransform eigenvectors: x = L*y or U'*y */
if (lower) {
*(unsigned char *)trans = MagmaNoTrans;
} else {
*(unsigned char *)trans = MagmaConjTrans;
}
//magma_ztrmm_m(nrgpu, MagmaLeft, uplo, *trans, MagmaNonUnit, n, *m, c_one, b, ldb, a, lda);
}
#ifdef ENABLE_TIMER
end = get_current_time();
printf("time trsm/mm_m = %6.2f\n", GetTimerValue(start,end)/1000.);
#endif
}
/*work[0].r = (doublereal) lopt, work[0].i = 0.;
rwork[0] = (doublereal) lropt;
iwork[0] = liopt;*/
printf("\n\n\n");
return *info;
} /* zhegvdx_2stage_m */
extern "C" magma_int_t
magma_zhetrd_gpu(char uplo, magma_int_t n,
magmaDoubleComplex *da, magma_int_t ldda,
double *d, double *e, magmaDoubleComplex *tau,
magmaDoubleComplex *wa, magma_int_t ldwa,
magmaDoubleComplex *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
=======
ZHETRD_GPU reduces a complex Hermitian matrix A to real symmetric
tridiagonal form T by an orthogonal similarity transformation:
Q**H * A * Q = T.
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.
DA (device input/output) COMPLEX_16 array on the GPU, dimension (LDA,N)
On entry, the Hermitian 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 UPLO = 'U', the diagonal and first superdiagonal
of A are overwritten by the corresponding elements of the
tridiagonal matrix T, and the elements above the first
superdiagonal, with the array TAU, represent the orthogonal
matrix Q as a product of elementary reflectors; if UPLO
= 'L', the diagonal and first subdiagonal of A are over-
written by the corresponding elements of the tridiagonal
matrix T, and the elements below the first subdiagonal, with
the array TAU, represent the orthogonal matrix Q as a product
of elementary reflectors. See Further Details.
LDDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,N).
D (output) COMPLEX_16 array, dimension (N)
The diagonal elements of the tridiagonal matrix T:
D(i) = A(i,i).
E (output) COMPLEX_16 array, dimension (N-1)
The off-diagonal elements of the tridiagonal matrix T:
E(i) = A(i,i+1) if UPLO = 'U', E(i) = A(i+1,i) if UPLO = 'L'.
TAU (output) COMPLEX_16 array, dimension (N-1)
The scalar factors of the elementary reflectors (see Further
Details).
WA (workspace/output) COMPLEX_16 array, dimension (LDA,N)
On exit the diagonal, the upper part (UPLO='U')
or the lower part (UPLO='L') are copies of DA
LDWA (input) INTEGER
The leading dimension of the array WA. LDWA >= max(1,N).
WORK (workspace/output) COMPLEX_16 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. LWORK >= N*NB, where NB is the
optimal blocksize given by magma_get_zhetrd_nb().
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
Further Details
===============
If UPLO = 'U', 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 complex scalar, and v is a complex 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 = 'L', 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 complex scalar, and v is a complex 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 = 'U': if UPLO = 'L':
( 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).
===================================================================== */
char uplo_[2] = {uplo, 0};
magma_int_t nb = magma_get_zhetrd_nb(n);
magmaDoubleComplex c_neg_one = MAGMA_Z_NEG_ONE;
magmaDoubleComplex c_one = MAGMA_Z_ONE;
double d_one = MAGMA_D_ONE;
magma_int_t kk, nx;
magma_int_t i, j, i_n;
magma_int_t iinfo;
magma_int_t ldw, lddw, lwkopt;
magma_int_t lquery;
*info = 0;
int upper = lapackf77_lsame(uplo_, "U");
lquery = lwork == -1;
if (! upper && ! lapackf77_lsame(uplo_, "L")) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (ldda < max(1,n)) {
*info = -4;
} else if (ldwa < max(1,n)) {
*info = -9;
} else if (lwork < nb*n && ! lquery) {
*info = -11;
}
/* Determine the block size. */
ldw = lddw = n;
lwkopt = n * nb;
if (*info == 0) {
MAGMA_Z_SET2REAL( work[0], lwkopt );
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
else if (lquery)
return *info;
/* Quick return if possible */
if (n == 0) {
work[0] = c_one;
return *info;
}
magmaDoubleComplex *dwork;
if (n < 2048)
nx = n;
else
nx = 512;
if (MAGMA_SUCCESS != magma_zmalloc( &dwork, (ldw*nb) )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
if (upper) {
/* Reduce the upper triangle of A.
Columns 1:kk are handled by the unblocked method. */
kk = n - (n - nx + nb - 1) / nb * nb;
for (i = n - nb; i >= kk; i -= nb)
{
/* Reduce columns i:i+nb-1 to tridiagonal form and form the
matrix W which is needed to update the unreduced part of
the matrix */
/* Get the current panel */
magma_zgetmatrix( i+nb, nb, dA(0, i), ldda, A(0, i), ldwa );
magma_zlatrd(uplo, i+nb, nb, A(0, 0), ldwa, e, tau,
work, ldw, dA(0, 0), ldda, dwork, lddw);
/* Update the unreduced submatrix A(0:i-2,0:i-2), using an
update of the form: A := A - V*W' - W*V' */
magma_zsetmatrix( i + nb, nb, work, ldw, dwork, lddw );
magma_zher2k(uplo, MagmaNoTrans, i, nb, c_neg_one,
dA(0, i), ldda, dwork,
lddw, d_one, dA(0, 0), ldda);
/* Copy superdiagonal elements back into A, and diagonal
elements into D */
for (j = i; j < i+nb; ++j) {
MAGMA_Z_SET2REAL( *A(j-1, j), e[j - 1] );
d[j] = MAGMA_Z_REAL( *A(j, j) );
}
}
magma_zgetmatrix( kk, kk, dA(0, 0), ldda, A(0, 0), ldwa );
/* Use CPU code to reduce the last or only block */
lapackf77_zhetrd(uplo_, &kk, A(0, 0), &ldwa, d, e, tau, work, &lwork, &iinfo);
magma_zsetmatrix( kk, kk, A(0, 0), ldwa, dA(0, 0), ldda );
}
else
{
/* Reduce the lower triangle of A */
for (i = 0; i < n-nx; i += nb)
{
/* Reduce columns i:i+nb-1 to tridiagonal form and form the
matrix W which is needed to update the unreduced part of
the matrix */
/* Get the current panel */
magma_zgetmatrix( n-i, nb, dA(i, i), ldda, A(i, i), ldwa );
magma_zlatrd(uplo, n-i, nb, A(i, i), ldwa, &e[i],
&tau[i], work, ldw,
dA(i, i), ldda,
dwork, lddw);
/* Update the unreduced submatrix A(i+ib:n,i+ib:n), using
an update of the form: A := A - V*W' - W*V' */
magma_zsetmatrix( n-i, nb, work, ldw, dwork, lddw );
magma_zher2k(MagmaLower, MagmaNoTrans, n-i-nb, nb, c_neg_one,
dA(i+nb, i), ldda,
&dwork[nb], lddw, d_one,
dA(i+nb, i+nb), ldda);
/* Copy subdiagonal elements back into A, and diagonal
elements into D */
for (j = i; j < i+nb; ++j) {
MAGMA_Z_SET2REAL( *A(j+1, j), e[j] );
d[j] = MAGMA_Z_REAL( *A(j, j) );
}
}
/* Use unblocked code to reduce the last or only block */
magma_zgetmatrix( n-i, n-i, dA(i, i), ldda, A(i, i), ldwa );
i_n = n-i;
lapackf77_zhetrd(uplo_, &i_n, A(i, i), &ldwa, &d[i], &e[i],
&tau[i], work, &lwork, &iinfo);
magma_zsetmatrix( n-i, n-i, A(i, i), ldwa, dA(i, i), ldda );
}
magma_free( dwork );
MAGMA_Z_SET2REAL( work[0], lwkopt );
return *info;
} /* zhetrd_gpu */
int main( int argc, char** argv)
{
real_Double_t gflops, gpu_perf, cpu_perf, gpu_time, cpu_time;
magmaDoubleComplex *hA, *hR;
magmaDoubleComplex_ptr dA;
magma_int_t N = 0, n2, lda, ldda;
magma_int_t size[10] =
{ 1024, 2048, 3072, 4032, 5184, 6048, 7200, 8064, 8928, 10560 };
magma_int_t i, info;
magmaDoubleComplex mz_one = MAGMA_Z_NEG_ONE;
magma_int_t ione = 1;
magma_int_t ISEED[4] = {0,0,0,1};
double work[1], matnorm, diffnorm;
if (argc != 1){
for(i = 1; i<argc; i++){
if (strcmp("-N", argv[i])==0)
N = atoi(argv[++i]);
}
if (N>0) size[0] = size[9] = N;
else exit(1);
}
else {
printf("\nUsage: \n");
printf(" testing_zpotrf_gpu -N %d\n\n", 1024);
}
/* Initialize */
magma_queue_t queue;
magma_device_t device;
int num = 0;
magma_err_t err;
magma_init();
err = magma_get_devices( &device, 1, &num );
if ( err != 0 || num < 1 ) {
fprintf( stderr, "magma_get_devices failed: %d\n", err );
exit(-1);
}
err = magma_queue_create( device, &queue );
if ( err != 0 ) {
fprintf( stderr, "magma_queue_create failed: %d\n", err );
exit(-1);
}
/* Allocate memory for the largest matrix */
N = size[9];
n2 = N * N;
ldda = ((N+31)/32) * 32;
TESTING_MALLOC( hA, magmaDoubleComplex, n2 );
TESTING_MALLOC_HOST( hR, magmaDoubleComplex, n2 );
TESTING_MALLOC_DEV( dA, magmaDoubleComplex, ldda*N );
printf("\n\n");
printf(" N CPU GFlop/s (sec) GPU GFlop/s (sec) ||R_magma-R_lapack||_F / ||R_lapack||_F\n");
printf("========================================================================================\n");
for(i=0; i<10; i++){
N = size[i];
lda = N;
n2 = lda*N;
ldda = ((N+31)/32)*32;
gflops = FLOPS( (double)N ) * 1e-9;
/* Initialize the matrix */
lapackf77_zlarnv( &ione, ISEED, &n2, hA );
/* Symmetrize and increase the diagonal */
for( int i = 0; i < N; ++i ) {
MAGMA_Z_SET2REAL( hA(i,i), MAGMA_Z_REAL(hA(i,i)) + N );
for( int j = 0; j < i; ++j ) {
hA(i, j) = MAGMA_Z_CNJG( hA(j,i) );
}
}
lapackf77_zlacpy( MagmaFullStr, &N, &N, hA, &lda, hR, &lda );
/* Warm up to measure the performance */
magma_zsetmatrix( N, N, hA, 0, lda, dA, 0, ldda, queue );
magma_zpotrf_gpu( MagmaUpper, N, dA, 0, ldda, &info, queue );
/* ====================================================================
Performs operation using MAGMA
=================================================================== */
magma_zsetmatrix( N, N, hA, 0, lda, dA, 0, ldda, queue );
gpu_time = get_time();
magma_zpotrf_gpu( MagmaUpper, N, dA, 0, ldda, &info, queue );
gpu_time = get_time() - gpu_time;
if (info != 0)
printf( "magma_zpotrf had error %d.\n", info );
gpu_perf = gflops / gpu_time;
/* =====================================================================
Performs operation using LAPACK
=================================================================== */
cpu_time = get_time();
lapackf77_zpotrf( MagmaUpperStr, &N, hA, &lda, &info );
cpu_time = get_time() - cpu_time;
if (info != 0)
printf( "lapackf77_zpotrf had error %d.\n", info );
cpu_perf = gflops / cpu_time;
/* =====================================================================
Check the result compared to LAPACK
|R_magma - R_lapack| / |R_lapack|
=================================================================== */
magma_zgetmatrix( N, N, dA, 0, ldda, hR, 0, lda, queue );
matnorm = lapackf77_zlange("f", &N, &N, hA, &lda, work);
blasf77_zaxpy(&n2, &mz_one, hA, &ione, hR, &ione);
diffnorm = lapackf77_zlange("f", &N, &N, hR, &lda, work);
printf( "%5d %6.2f (%6.2f) %6.2f (%6.2f) %e\n",
N, cpu_perf, cpu_time, gpu_perf, gpu_time, diffnorm / matnorm );
if (argc != 1)
break;
}
/* clean up */
TESTING_FREE( hA );
TESTING_FREE_HOST( hR );
TESTING_FREE_DEV( dA );
magma_queue_destroy( queue );
magma_finalize();
}
/* ////////////////////////////////////////////////////////////////////////////
-- Testing zpotrf_mc
*/
int main( magma_int_t argc, char** argv)
{
cuDoubleComplex *h_A, *h_R, *h_work, *h_A2;
cuDoubleComplex *d_A;
float gpu_perf, cpu_perf, cpu_perf2;
magma_timestr_t start, end;
/* Matrix size */
magma_int_t N=0, n2, lda;
magma_int_t size[10] = {1024,2048,3072,4032,5184,6048,7200,8064,8928,10080};
magma_int_t i, j, info[1];
magma_int_t ione = 1;
magma_int_t ISEED[4] = {0,0,0,1};
magma_int_t num_cores = 4;
int num_gpus = 0;
magma_int_t loop = argc;
if (argc != 1) {
for(i = 1; i<argc; i++) {
if (strcmp("-N", argv[i])==0)
N = atoi(argv[++i]);
else if (strcmp("-C", argv[i])==0)
num_cores = atoi(argv[++i]);
}
if (N==0) {
N = size[9];
loop = 1;
} else {
size[0] = size[9] = N;
}
} else {
printf("\nUsage: \n");
printf(" testing_zpotrf_mc -N %d -B 128 \n\n", 1024);
N = size[9];
}
lda = N;
n2 = size[9] * size[9];
/* Allocate host memory for the matrix */
h_A = (cuDoubleComplex*)malloc(n2 * sizeof(h_A[0]));
if (h_A == 0) {
fprintf (stderr, "!!!! host memory allocation error (A)\n");
}
/* Allocate host memory for the matrix */
h_A2 = (cuDoubleComplex*)malloc(n2 * sizeof(h_A2[0]));
if (h_A2 == 0) {
fprintf (stderr, "!!!! host memory allocation error (A2)\n");
}
/* Initialize MAGMA hardware context, seeting how many CPU cores
and how many GPUs to be used in the consequent computations */
magma_context *context;
context = magma_init(NULL, NULL, 0, num_cores, num_gpus, argc, argv);
printf("\n\n");
printf(" N Multicore GFlop/s ||R||_F / ||A||_F\n");
printf("=============================================\n");
for(i=0; i<10; i++)
{
N = lda = size[i];
n2 = N*N;
lapackf77_zlarnv( &ione, ISEED, &n2, h_A );
for(j=0; j<N; j++)
MAGMA_Z_SET2REAL( h_A[j*lda+j], ( MAGMA_Z_GET_X(h_A[j*lda+j]) + 2000. ) );
for(j=0; j<n2; j++)
h_A2[j] = h_A[j];
/* =====================================================================
Performs operation using LAPACK
=================================================================== */
//lapackf77_zpotrf("L", &N, h_A, &lda, info);
lapackf77_zpotrf("U", &N, h_A, &lda, info);
if (info[0] < 0)
printf("Argument %d of zpotrf had an illegal value.\n", -info[0]);
/* =====================================================================
Performs operation using multi-core
=================================================================== */
start = get_current_time();
//magma_zpotrf_mc(context, "L", &N, h_A2, &lda, info);
magma_zpotrf_mc(context, "U", &N, h_A2, &lda, info);
end = get_current_time();
if (info[0] < 0)
printf("Argument %d of magma_zpotrf_mc had an illegal value.\n", -info[0]);
cpu_perf2 = FLOPS( (double)N ) / (1000000.*GetTimerValue(start,end));
/* =====================================================================
Check the result compared to LAPACK
=================================================================== */
double work[1], matnorm = 1.;
cuDoubleComplex mone = MAGMA_Z_NEG_ONE;
int one = 1;
matnorm = lapackf77_zlange("f", &N, &N, h_A, &N, work);
blasf77_zaxpy(&n2, &mone, h_A, &one, h_A2, &one);
printf("%5d %6.2f %e\n",
size[i], cpu_perf2,
lapackf77_zlange("f", &N, &N, h_A2, &N, work) / matnorm);
if (loop != 1)
break;
}
/* Memory clean up */
free(h_A);
free(h_A2);
/* Shut down the MAGMA context */
magma_finalize(context);
}
/* ////////////////////////////////////////////////////////////////////////////
-- Testing zhegvdx
*/
int main( int argc, char** argv)
{
//#define USE_MGPU
#ifdef USE_MGPU
TESTING_CUDA_INIT_MGPU();
#else
TESTING_CUDA_INIT();
#endif
magma_int_t nrgpu =1;
cuDoubleComplex *h_A, *h_R, *h_B, *h_S, *h_work;
double *rwork, *w1, *w2;
magma_int_t *iwork;
double gpu_time, cpu_time;
magma_timestr_t start, end;
/* Matrix size */
magma_int_t N=0, n2;
magma_int_t size[4] = {1024,2048,4100,6001};
magma_int_t i, itype, info;
magma_int_t ione = 1, izero = 0;
magma_int_t five = 5;
cuDoubleComplex c_zero = MAGMA_Z_ZERO;
cuDoubleComplex c_one = MAGMA_Z_ONE;
cuDoubleComplex c_neg_one = MAGMA_Z_NEG_ONE;
double d_one = 1.;
double d_neg_one = -1.;
double d_ten = 10.;
magma_int_t ISEED[4] = {0,0,0,1};
magma_int_t il,iu,m1,m2;
double vl,vu;
double fraction_ev = 0;
//const char *uplo = MagmaLowerStr;
char *uplo = (char*)MagmaLowerStr;
//char *uplo = (char*)MagmaUpperStr;
char *jobz = (char*)MagmaVectorsStr;
char range = 'A';
itype = 1;
magma_int_t checkres;
double result[2];
int flagN = 0;
if (argc != 1){
for(i = 1; i<argc; i++){
if (strcmp("-N", argv[i])==0){
N = atoi(argv[++i]);
if (N>0){
printf(" testing_zhegvdx -N %d\n\n", (int) N);
flagN=1;
}
else {
printf("\nUsage: \n");
printf(" testing_zhegvdx -N %d\n\n", (int) N);
exit(1);
}
}
if (strcmp("-ngpu", argv[i])==0){
nrgpu = atoi(argv[++i]);
if (nrgpu>0){
printf(" testing_zhegvdx -ngpu %d\n\n", (int) nrgpu);
}
else {
printf("\nUsage: \n");
printf(" testing_zhegvdx -ngpu %d\n\n", (int) nrgpu);
exit(1);
}
}
if (strcmp("-itype", argv[i])==0){
itype = atoi(argv[++i]);
if (itype>0 && itype <= 3){
printf(" testing_zhegvdx -itype %d\n\n", (int) itype);
}
else {
printf("\nUsage: \n");
printf(" testing_zhegvdx -itype %d\n\n", (int) itype);
exit(1);
}
}
if (strcmp("-FE", argv[i])==0){
fraction_ev = atof(argv[++i]);
if (fraction_ev > 0 && fraction_ev <= 1){
printf(" testing_zhegvdx -FE %f\n\n", fraction_ev);
}
else {
fraction_ev = 0;
}
}
if (strcmp("-L", argv[i])==0){
uplo = (char*)MagmaLowerStr;
printf(" testing_zhegvdx -L");
}
if (strcmp("-U", argv[i])==0){
uplo = (char*)MagmaUpperStr;
printf(" testing_zhegvdx -U");
}
}
} else {
printf("\nUsage: \n");
printf(" testing_zhegvdx -L/U -N %d -itype %d\n\n", 1024, 1);
}
if(!flagN)
N = size[3];
checkres = getenv("MAGMA_TESTINGS_CHECK") != NULL;
n2 = N * N;
/* Allocate host memory for the matrix */
TESTING_MALLOC( h_A, cuDoubleComplex, n2);
TESTING_MALLOC( h_B, cuDoubleComplex, n2);
TESTING_MALLOC( w1, double , N);
TESTING_MALLOC( w2, double , N);
TESTING_HOSTALLOC(h_R, cuDoubleComplex, n2);
TESTING_HOSTALLOC(h_S, cuDoubleComplex, n2);
magma_int_t nb = magma_get_zhetrd_nb(N);
magma_int_t lwork = magma_zbulge_get_lq2(N) + 2*N + N*N;
magma_int_t lrwork = 1 + 5*N +2*N*N;
magma_int_t liwork = 3 + 5*N;
TESTING_HOSTALLOC(h_work, cuDoubleComplex, lwork);
TESTING_HOSTALLOC( rwork, double, lrwork);
TESTING_MALLOC( iwork, magma_int_t, liwork);
printf(" N M GPU Time(s) \n");
printf("==========================\n");
for(i=0; i<4; i++){
if (!flagN){
N = size[i];
n2 = N*N;
}
if (fraction_ev == 0){
il = N / 10;
iu = N / 5+il;
}
else {
il = 1;
iu = (int)(fraction_ev*N);
if (iu < 1) iu = 1;
}
/* Initialize the matrix */
lapackf77_zlarnv( &ione, ISEED, &n2, h_A );
//lapackf77_zlatms( &N, &N, "U", ISEED, "P", w1, &five, &d_ten,
// &d_one, &N, &N, uplo, h_B, &N, h_work, &info);
//lapackf77_zlaset( "A", &N, &N, &c_zero, &c_one, h_B, &N);
lapackf77_zlarnv( &ione, ISEED, &n2, h_B );
/* increase the diagonal */
{
magma_int_t i, j;
for(i=0; i<N; i++) {
MAGMA_Z_SET2REAL( h_B[i*N+i], ( MAGMA_Z_REAL(h_B[i*N+i]) + 1.*N ) );
}
}
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_A, &N, h_R, &N );
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_B, &N, h_S, &N );
#ifdef USE_MGPU
magma_zhegvdx_2stage_m(nrgpu, itype, jobz[0], range, uplo[0],
N, h_R, N, h_S, N, vl, vu, il, iu, &m1, w1,
h_work, lwork,
rwork, lrwork,
iwork, liwork,
&info);
#else
magma_zhegvdx_2stage(itype, jobz[0], range, uplo[0],
N, h_R, N, h_S, N, vl, vu, il, iu, &m1, w1,
h_work, lwork,
rwork, lrwork,
iwork, liwork,
&info);
#endif
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_A, &N, h_R, &N );
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_B, &N, h_S, &N );
/* ====================================================================
Performs operation using MAGMA
=================================================================== */
start = get_current_time();
#ifdef USE_MGPU
magma_zhegvdx_2stage_m(nrgpu, itype, jobz[0], range, uplo[0],
N, h_R, N, h_S, N, vl, vu, il, iu, &m1, w1,
h_work, lwork,
rwork, lrwork,
iwork, liwork,
&info);
#else
magma_zhegvdx_2stage(itype, jobz[0], range, uplo[0],
N, h_R, N, h_S, N, vl, vu, il, iu, &m1, w1,
h_work, lwork,
rwork, lrwork,
iwork, liwork,
&info);
#endif
end = get_current_time();
gpu_time = GetTimerValue(start,end)/1000.;
if ( checkres ) {
/* =====================================================================
Check the results following the LAPACK's [zc]hegvdx routine.
A x = lambda B x is solved
and the following 3 tests computed:
(1) | A Z - B Z D | / ( |A||Z| N ) (itype = 1)
| A B Z - Z D | / ( |A||Z| N ) (itype = 2)
| B A Z - Z D | / ( |A||Z| N ) (itype = 3)
(2) | S(with V) - S(w/o V) | / | S |
=================================================================== */
double temp1, temp2;
cuDoubleComplex *tau;
result[0] = 1.;
result[0] /= lapackf77_zlanhe("1",uplo, &N, h_A, &N, rwork);
result[0] /= lapackf77_zlange("1",&N , &m1, h_R, &N, rwork);
if (itype == 1){
blasf77_zhemm("L", uplo, &N, &m1, &c_one, h_A, &N, h_R, &N, &c_zero, h_work, &N);
for(int i=0; i<m1; ++i)
blasf77_zdscal(&N, &w1[i], &h_R[i*N], &ione);
blasf77_zhemm("L", uplo, &N, &m1, &c_neg_one, h_B, &N, h_R, &N, &c_one, h_work, &N);
result[0] *= lapackf77_zlange("1", &N, &m1, h_work, &N, rwork)/N;
}
else if (itype == 2){
blasf77_zhemm("L", uplo, &N, &m1, &c_one, h_B, &N, h_R, &N, &c_zero, h_work, &N);
for(int i=0; i<m1; ++i)
blasf77_zdscal(&N, &w1[i], &h_R[i*N], &ione);
blasf77_zhemm("L", uplo, &N, &m1, &c_one, h_A, &N, h_work, &N, &c_neg_one, h_R, &N);
result[0] *= lapackf77_zlange("1", &N, &m1, h_R, &N, rwork)/N;
}
else if (itype == 3){
blasf77_zhemm("L", uplo, &N, &m1, &c_one, h_A, &N, h_R, &N, &c_zero, h_work, &N);
for(int i=0; i<m1; ++i)
blasf77_zdscal(&N, &w1[i], &h_R[i*N], &ione);
blasf77_zhemm("L", uplo, &N, &m1, &c_one, h_B, &N, h_work, &N, &c_neg_one, h_R, &N);
result[0] *= lapackf77_zlange("1", &N, &m1, h_R, &N, rwork)/N;
}
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_A, &N, h_R, &N );
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_B, &N, h_S, &N );
magma_zhegvdx(itype, 'N', range, uplo[0],
N, h_R, N, h_S, N, vl, vu, il, iu, &m2, w2,
h_work, lwork,
rwork, lrwork,
iwork, liwork,
&info);
temp1 = temp2 = 0;
for(int j=0; j<m2; j++){
temp1 = max(temp1, absv(w1[j]));
temp1 = max(temp1, absv(w2[j]));
temp2 = max(temp2, absv(w1[j]-w2[j]));
}
result[1] = temp2 / temp1;
}
/* =====================================================================
Print execution time
=================================================================== */
printf("%5d %5d %6.2f\n",
(int) N, (int) m1, gpu_time);
if ( checkres ){
printf("Testing the eigenvalues and eigenvectors for correctness:\n");
if(itype==1)
printf("(1) | A Z - B Z D | / (|A| |Z| N) = %e\n", result[0]);
else if(itype==2)
printf("(1) | A B Z - Z D | / (|A| |Z| N) = %e\n", result[0]);
else if(itype==3)
printf("(1) | B A Z - Z D | / (|A| |Z| N) = %e\n", result[0]);
printf("(2) | D(w/ Z)-D(w/o Z)|/ |D| = %e\n\n", result[1]);
}
if (flagN)
break;
}
cudaSetDevice(0);
/* Memory clean up */
TESTING_FREE( h_A);
TESTING_FREE( h_B);
TESTING_FREE( w1);
TESTING_FREE( w2);
TESTING_HOSTFREE( rwork);
TESTING_FREE( iwork);
TESTING_HOSTFREE(h_work);
TESTING_HOSTFREE( h_R);
TESTING_HOSTFREE( h_S);
/* Shutdown */
#ifdef USE_MGPU
TESTING_CUDA_FINALIZE_MGPU();
#else
TESTING_CUDA_FINALIZE();
#endif
}
extern "C" magma_int_t
magma_zgehrd(magma_int_t n, magma_int_t ilo, magma_int_t ihi,
cuDoubleComplex *a, magma_int_t lda,
cuDoubleComplex *tau,
cuDoubleComplex *work, magma_int_t lwork,
cuDoubleComplex *dT,
magma_int_t *info)
{
/* -- MAGMA (version 1.3.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
November 2012
Purpose
=======
ZGEHRD reduces a COMPLEX_16 general matrix A to upper Hessenberg form H by
an orthogonal similarity transformation: Q' * A * Q = H . 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
=========
N (input) INTEGER
The order of the matrix A. N >= 0.
ILO (input) INTEGER
IHI (input) INTEGER
It is assumed that A is already upper triangular in rows
and columns 1:ILO-1 and IHI+1:N. ILO and IHI are normally
set by a previous call to ZGEBAL; otherwise they should be
set to 1 and N respectively. See Further Details.
1 <= ILO <= IHI <= N, if N > 0; ILO=1 and IHI=0, if N=0.
A (input/output) COMPLEX_16 array, dimension (LDA,N)
On entry, the N-by-N general matrix to be reduced.
On exit, the upper triangle and the first subdiagonal of A
are overwritten with the upper Hessenberg matrix H, and the
elements below the first subdiagonal, with the array TAU,
represent the orthogonal matrix Q as a product of elementary
reflectors. See Further Details.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,N).
TAU (output) COMPLEX_16 array, dimension (N-1)
The scalar factors of the elementary reflectors (see Further
Details). Elements 1:ILO-1 and IHI:N-1 of TAU are set to
zero.
WORK (workspace/output) COMPLEX_16 array, dimension (LWORK)
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The length of the array WORK. LWORK >= max(1,N).
For optimum performance LWORK >= N*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.
dT (output) COMPLEX_16 array on the GPU, dimension N*NB,
where NB is the optimal blocksize. It stores the NB*NB blocks
of the triangular T matrices, used the the reduction.
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 (ihi-ilo) elementary
reflectors
Q = H(ilo) H(ilo+1) . . . H(ihi-1).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a complex scalar, and v is a complex vector with
v(1:i) = 0, v(i+1) = 1 and v(ihi+1:n) = 0; v(i+2:ihi) is stored on
exit in A(i+2:ihi,i), and tau in TAU(i).
The contents of A are illustrated by the following example, with
n = 7, ilo = 2 and ihi = 6:
on entry, on exit,
( a a a a a a a ) ( a a h h h h a )
( a a a a a a ) ( a h h h h a )
( a a a a a a ) ( h h h h h h )
( a a a a a a ) ( v2 h h h h h )
( a a a a a a ) ( v2 v3 h h h h )
( a a a a a a ) ( v2 v3 v4 h h h )
( a ) ( a )
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.
===================================================================== */
cuDoubleComplex c_one = MAGMA_Z_ONE;
cuDoubleComplex c_zero = MAGMA_Z_ZERO;
magma_int_t nb = magma_get_zgehrd_nb(n);
magma_int_t N = n, ldda = n;
magma_int_t ib;
magma_int_t nh, iws;
magma_int_t nbmin, iinfo;
magma_int_t ldwork;
magma_int_t lquery;
--tau;
*info = 0;
MAGMA_Z_SET2REAL( work[0], (double) n * nb );
lquery = lwork == -1;
if (n < 0) {
*info = -1;
} else if (ilo < 1 || ilo > max(1,n)) {
*info = -2;
} else if (ihi < min(ilo,n) || ihi > n) {
*info = -3;
} else if (lda < max(1,n)) {
*info = -5;
} else if (lwork < max(1,n) && ! lquery) {
*info = -8;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
else if (lquery)
return *info;
/* Quick return if possible */
nh = ihi - ilo + 1;
if (nh <= 1) {
work[0] = c_one;
return *info;
}
cuDoubleComplex *da;
if (MAGMA_SUCCESS != magma_zmalloc( &da, N*ldda + 2*N*nb + nb*nb )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
cuDoubleComplex *d_A = da;
cuDoubleComplex *d_work = da + (N+nb)*ldda;
magma_int_t i__;
cuDoubleComplex *t, *d_t;
magma_zmalloc_cpu( &t, nb*nb );
if ( t == NULL ) {
magma_free( da );
*info = MAGMA_ERR_HOST_ALLOC;
return *info;
}
d_t = d_work + nb * ldda;
zzero_nbxnb_block(nb, d_A+N*ldda, ldda);
/* Set elements 1:ILO-1 and IHI:N-1 of TAU to zero */
for (i__ = 1; i__ < ilo; ++i__)
tau[i__] = c_zero;
for (i__ = max(1,ihi); i__ < n; ++i__)
tau[i__] = c_zero;
for(i__=0; i__< nb*nb; i__+=4)
t[i__] = t[i__+1] = t[i__+2] = t[i__+3] = c_zero;
nbmin = 2;
iws = 1;
if (nb > 1 && nb < nh) {
/* Determine when to cross over from blocked to unblocked code
(last block is always handled by unblocked code) */
if (nb < nh) {
/* Determine if workspace is large enough for blocked code */
iws = n * nb;
if (lwork < iws) {
/* Not enough workspace to use optimal NB: determine the
minimum value of NB, and reduce NB or force use of
unblocked code */
nbmin = nb;
if (lwork >= n * nbmin)
nb = lwork / n;
else
nb = 1;
}
}
}
ldwork = n;
if (nb < nbmin || nb >= nh) {
/* Use unblocked code below */
i__ = ilo;
} else {
/* Use blocked code */
/* Copy the matrix to the GPU */
magma_zsetmatrix( N, N-ilo+1, a+(ilo-1)*(lda), lda, d_A, ldda );
for (i__ = ilo; i__ < ihi - nb; i__ += nb) {
/* Computing MIN */
ib = min(nb, ihi - i__);
/* Reduce columns i:i+ib-1 to Hessenberg form, returning the
matrices V and T of the block reflector H = I - V*T*V'
which performs the reduction, and also the matrix Y = A*V*T */
/* Get the current panel (no need for the 1st iteration) */
magma_zgetmatrix( ihi-i__+1, ib,
d_A + (i__ - ilo)*ldda + i__ - 1, ldda,
a + (i__ - 1 )*lda + i__ - 1, lda );
magma_zlahr2(ihi, i__, ib,
d_A + (i__ - ilo)*ldda,
d_A + N*ldda + 1,
a + (i__ - 1 )*(lda) , lda,
&tau[i__], t, nb, work, ldwork);
/* Copy T from the CPU to D_T on the GPU */
d_t = dT + (i__ - ilo)*nb;
magma_zsetmatrix( nb, nb, t, nb, d_t, nb );
magma_zlahru(n, ihi, i__ - 1, ib,
a + (i__ - 1 )*(lda), lda,
d_A + (i__ - ilo)*ldda,
d_A + (i__ - ilo)*ldda + i__ - 1,
d_A + N*ldda, d_t, d_work);
}
}
/* Use unblocked code to reduce the rest of the matrix */
if (!(nb < nbmin || nb >= nh))
magma_zgetmatrix( n, n-i__+1,
d_A+ (i__-ilo)*ldda, ldda,
a + (i__-1)*(lda), lda );
lapackf77_zgehd2(&n, &i__, &ihi, a, &lda, &tau[1], work, &iinfo);
MAGMA_Z_SET2REAL( work[0], (double) iws );
magma_free( da );
magma_free_cpu(t);
return *info;
} /* magma_zgehrd */
extern "C" magma_int_t
magma_zlatrd2(char uplo, magma_int_t n, magma_int_t nb,
magmaDoubleComplex *a, magma_int_t lda,
double *e, magmaDoubleComplex *tau,
magmaDoubleComplex *w, magma_int_t ldw,
magmaDoubleComplex *da, magma_int_t ldda,
magmaDoubleComplex *dw, magma_int_t lddw,
magmaDoubleComplex *dwork, magma_int_t ldwork)
{
/* -- MAGMA (version 1.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
August 2013
Purpose
=======
ZLATRD2 reduces NB rows and columns of a complex Hermitian matrix A to
Hermitian tridiagonal form by an orthogonal similarity
transformation Q' * A * Q, and returns the matrices V and W which are
needed to apply the transformation to the unreduced part of A.
If UPLO = 'U', ZLATRD reduces the last NB rows and columns of a
matrix, of which the upper triangle is supplied;
if UPLO = 'L', ZLATRD reduces the first NB rows and columns of a
matrix, of which the lower triangle is supplied.
This is an auxiliary routine called by ZHETRD2_GPU. It uses an
accelerated HEMV that needs extra memory.
Arguments
=========
UPLO (input) CHARACTER*1
Specifies whether the upper or lower triangular part of the
Hermitian matrix A is stored:
= 'U': Upper triangular
= 'L': Lower triangular
N (input) INTEGER
The order of the matrix A.
NB (input) INTEGER
The number of rows and columns to be reduced.
A (input/output) COMPLEX_16 array, dimension (LDA,N)
On entry, the Hermitian 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 UPLO = 'U', the last NB columns have been reduced to
tridiagonal form, with the diagonal elements overwriting
the diagonal elements of A; the elements above the diagonal
with the array TAU, represent the orthogonal matrix Q as a
product of elementary reflectors;
if UPLO = 'L', the first NB columns have been reduced to
tridiagonal form, with the diagonal elements overwriting
the diagonal elements of A; the elements below the diagonal
with the array TAU, represent the orthogonal matrix Q as a
product of elementary reflectors.
See Further Details.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= (1,N).
E (output) COMPLEX_16 array, dimension (N-1)
If UPLO = 'U', E(n-nb:n-1) contains the superdiagonal
elements of the last NB columns of the reduced matrix;
if UPLO = 'L', E(1:nb) contains the subdiagonal elements of
the first NB columns of the reduced matrix.
TAU (output) COMPLEX_16 array, dimension (N-1)
The scalar factors of the elementary reflectors, stored in
TAU(n-nb:n-1) if UPLO = 'U', and in TAU(1:nb) if UPLO = 'L'.
See Further Details.
W (output) COMPLEX_16 array, dimension (LDW,NB)
The n-by-nb matrix W required to update the unreduced part
of A.
LDW (input) INTEGER
The leading dimension of the array W. LDW >= max(1,N).
Further Details
===============
If UPLO = 'U', the matrix Q is represented as a product of elementary
reflectors
Q = H(n) H(n-1) . . . H(n-nb+1).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a complex scalar, and v is a complex vector with
v(i:n) = 0 and v(i-1) = 1; v(1:i-1) is stored on exit in A(1:i-1,i),
and tau in TAU(i-1).
If UPLO = 'L', the matrix Q is represented as a product of 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 complex scalar, and v is a complex vector with
v(1:i) = 0 and v(i+1) = 1; v(i+1:n) is stored on exit in A(i+1:n,i),
and tau in TAU(i).
The elements of the vectors v together form the n-by-nb matrix V
which is needed, with W, to apply the transformation to the unreduced
part of the matrix, using a Hermitian rank-2k update of the form:
A := A - V*W' - W*V'.
The contents of A on exit are illustrated by the following examples
with n = 5 and nb = 2:
if UPLO = 'U': if UPLO = 'L':
( a a a v4 v5 ) ( d )
( a a v4 v5 ) ( 1 d )
( a 1 v5 ) ( v1 1 a )
( d 1 ) ( v1 v2 a a )
( d ) ( v1 v2 a a a )
where d denotes a diagonal element of the reduced matrix, a denotes
an element of the original matrix that is unchanged, and vi denotes
an element of the vector defining H(i).
===================================================================== */
char uplo_[2] = {uplo, 0};
magma_int_t i;
magmaDoubleComplex c_neg_one = MAGMA_Z_NEG_ONE;
magmaDoubleComplex c_one = MAGMA_Z_ONE;
magmaDoubleComplex c_zero = MAGMA_Z_ZERO;
magmaDoubleComplex value = MAGMA_Z_ZERO;
magma_int_t ione = 1;
magma_int_t i_n, i_1, iw;
magmaDoubleComplex alpha;
magmaDoubleComplex *f;
if (n <= 0) {
return 0;
}
magma_queue_t stream;
magma_queue_create( &stream );
magma_zmalloc_cpu( &f, n );
assert( f != NULL ); // TODO return error, or allocate outside zlatrd
if (lapackf77_lsame(uplo_, "U")) {
/* Reduce last NB columns of upper triangle */
for (i = n-1; i >= n - nb ; --i) {
i_1 = i + 1;
i_n = n - i - 1;
iw = i - n + nb;
if (i < n-1) {
/* Update A(1:i,i) */
#if defined(PRECISION_z) || defined(PRECISION_c)
lapackf77_zlacgv(&i_n, W(i, iw+1), &ldw);
#endif
blasf77_zgemv("No transpose", &i_1, &i_n, &c_neg_one, A(0, i+1), &lda,
W(i, iw+1), &ldw, &c_one, A(0, i), &ione);
#if defined(PRECISION_z) || defined(PRECISION_c)
lapackf77_zlacgv(&i_n, W(i, iw+1), &ldw);
lapackf77_zlacgv(&i_n, A(i, i+1), &ldw);
#endif
blasf77_zgemv("No transpose", &i_1, &i_n, &c_neg_one, W(0, iw+1), &ldw,
A(i, i+1), &lda, &c_one, A(0, i), &ione);
#if defined(PRECISION_z) || defined(PRECISION_c)
lapackf77_zlacgv(&i_n, A(i, i+1), &ldw);
#endif
}
if (i > 0) {
/* Generate elementary reflector H(i) to annihilate A(1:i-2,i) */
alpha = *A(i-1, i);
lapackf77_zlarfg(&i, &alpha, A(0, i), &ione, &tau[i - 1]);
e[i-1] = MAGMA_Z_REAL( alpha );
MAGMA_Z_SET2REAL(*A(i-1, i), 1.);
/* Compute W(1:i-1,i) */
// 1. Send the block reflector A(0:n-i-1,i) to the GPU
magma_zsetvector( i, A(0, i), 1, dA(0, i), 1 );
#if (GPUSHMEM < 200)
magma_zhemv(MagmaUpper, i, c_one, dA(0, 0), ldda,
dA(0, i), ione, c_zero, dW(0, iw), ione);
#else
magmablas_zhemv2(MagmaUpper, i, c_one, dA(0, 0), ldda,
dA(0, i), ione, c_zero, dW(0, iw), ione,
dwork, ldwork);
#endif
// 2. Start putting the result back (asynchronously)
magma_zgetmatrix_async( i, 1,
dW(0, iw), lddw,
W(0, iw) /*test*/, ldw, stream );
if (i < n-1) {
blasf77_zgemv(MagmaConjTransStr, &i, &i_n, &c_one, W(0, iw+1), &ldw,
A(0, i), &ione, &c_zero, W(i+1, iw), &ione);
}
// 3. Here is where we need it // TODO find the right place
magma_queue_sync( stream );
if (i < n-1) {
blasf77_zgemv("No transpose", &i, &i_n, &c_neg_one, A(0, i+1), &lda,
W(i+1, iw), &ione, &c_one, W(0, iw), &ione);
blasf77_zgemv(MagmaConjTransStr, &i, &i_n, &c_one, A(0, i+1), &lda,
A(0, i), &ione, &c_zero, W(i+1, iw), &ione);
blasf77_zgemv("No transpose", &i, &i_n, &c_neg_one, W(0, iw+1), &ldw,
W(i+1, iw), &ione, &c_one, W(0, iw), &ione);
}
blasf77_zscal(&i, &tau[i - 1], W(0, iw), &ione);
#if defined(PRECISION_z) || defined(PRECISION_c)
cblas_zdotc_sub( i, W(0,iw), ione, A(0,i), ione, &value );
#else
value = cblas_zdotc( i, W(0,iw), ione, A(0,i), ione );
#endif
alpha = tau[i - 1] * -0.5f * value;
blasf77_zaxpy(&i, &alpha, A(0, i), &ione,
W(0, iw), &ione);
}
}
}
else {
/* Reduce first NB columns of lower triangle */
for (i = 0; i < nb; ++i) {
/* Update A(i:n,i) */
i_n = n - i;
#if defined(PRECISION_z) || defined(PRECISION_c)
lapackf77_zlacgv(&i, W(i, 0), &ldw);
#endif
blasf77_zgemv("No transpose", &i_n, &i, &c_neg_one, A(i, 0), &lda,
W(i, 0), &ldw, &c_one, A(i, i), &ione);
#if defined(PRECISION_z) || defined(PRECISION_c)
lapackf77_zlacgv(&i, W(i, 0), &ldw);
lapackf77_zlacgv(&i, A(i ,0), &lda);
#endif
blasf77_zgemv("No transpose", &i_n, &i, &c_neg_one, W(i, 0), &ldw,
A(i, 0), &lda, &c_one, A(i, i), &ione);
#if defined(PRECISION_z) || defined(PRECISION_c)
lapackf77_zlacgv(&i, A(i, 0), &lda);
#endif
if (i < n-1) {
/* Generate elementary reflector H(i) to annihilate A(i+2:n,i) */
i_n = n - i - 1;
alpha = *A(i+1, i);
lapackf77_zlarfg(&i_n, &alpha, A(min(i+2,n-1), i), &ione, &tau[i]);
e[i] = MAGMA_Z_REAL( alpha );
MAGMA_Z_SET2REAL(*A(i+1, i), 1.);
/* Compute W(i+1:n,i) */
// 1. Send the block reflector A(i+1:n,i) to the GPU
magma_zsetvector( i_n, A(i+1, i), 1, dA(i+1, i), 1 );
#if (GPUSHMEM < 200)
magma_zhemv(MagmaLower, i_n, c_one, dA(i+1, i+1), ldda, dA(i+1, i), ione, c_zero,
dW(i+1, i), ione);
#else
magmablas_zhemv2('L', i_n, c_one, dA(i+1, i+1), ldda, dA(i+1, i), ione, c_zero,
dW(i+1, i), ione,
dwork, ldwork);
#endif
// 2. Start putting the result back (asynchronously)
magma_zgetmatrix_async( i_n, 1,
dW(i+1, i), lddw,
W(i+1, i), ldw, stream );
blasf77_zgemv(MagmaConjTransStr, &i_n, &i, &c_one, W(i+1, 0), &ldw,
A(i+1, i), &ione, &c_zero, W(0, i), &ione);
blasf77_zgemv("No transpose", &i_n, &i, &c_neg_one, A(i+1, 0), &lda,
W(0, i), &ione, &c_zero, f, &ione);
blasf77_zgemv(MagmaConjTransStr, &i_n, &i, &c_one, A(i+1, 0), &lda,
A(i+1, i), &ione, &c_zero, W(0, i), &ione);
// 3. Here is where we need it
magma_queue_sync( stream );
if (i!=0)
blasf77_zaxpy(&i_n, &c_one, f, &ione, W(i+1, i), &ione);
blasf77_zgemv("No transpose", &i_n, &i, &c_neg_one, W(i+1, 0), &ldw,
W(0, i), &ione, &c_one, W(i+1, i), &ione);
blasf77_zscal(&i_n, &tau[i], W(i+1,i), &ione);
#if defined(PRECISION_z) || defined(PRECISION_c)
cblas_zdotc_sub( i_n, W(i+1,i), ione, A(i+1,i), ione, &value );
#else
value = cblas_zdotc( i_n, W(i+1,i), ione, A(i+1,i), ione );
#endif
alpha = tau[i] * -0.5f * value;
blasf77_zaxpy(&i_n, &alpha, A(i+1, i), &ione, W(i+1,i), &ione);
}
}
}
magma_free_cpu(f);
magma_queue_destroy( stream );
return 0;
} /* zlatrd */
extern "C" magma_int_t
magma_zhegvx(magma_int_t itype, char jobz, char range, char uplo, magma_int_t n,
magmaDoubleComplex *a, magma_int_t lda, magmaDoubleComplex *b, magma_int_t ldb,
double vl, double vu, magma_int_t il, magma_int_t iu, double abstol,
magma_int_t *m, double *w, magmaDoubleComplex *z, magma_int_t ldz,
magmaDoubleComplex *work, magma_int_t lwork, double *rwork,
magma_int_t *iwork, magma_int_t *ifail, magma_int_t *info)
{
/* -- MAGMA (version 1.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
August 2013
Purpose
=======
ZHEGVX computes selected eigenvalues, and optionally, eigenvectors
of a complex generalized Hermitian-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 Hermitian and B is also positive definite.
Eigenvalues and eigenvectors can be selected by specifying either a
range of values or a range of indices for the desired eigenvalues.
Arguments
=========
ITYPE (input) 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
JOBZ (input) CHARACTER*1
= 'N': Compute eigenvalues only;
= 'V': Compute eigenvalues and eigenvectors.
RANGE (input) CHARACTER*1
= 'A': all eigenvalues will be found.
= 'V': all eigenvalues in the half-open interval (VL,VU]
will be found.
= 'I': the IL-th through IU-th eigenvalues will be found.
UPLO (input) CHARACTER*1
= 'U': Upper triangles of A and B are stored;
= 'L': Lower triangles of A and B are stored.
N (input) INTEGER
The order of the matrices A and B. N >= 0.
A (input/output) COMPLEX_16 array, dimension (LDA, N)
On entry, the Hermitian matrix A. If UPLO = 'U', the
leading N-by-N upper triangular part of A contains the
upper triangular part of the matrix A. If UPLO = 'L',
the leading N-by-N lower triangular part of A contains
the lower triangular part of the matrix A.
On exit, the lower triangle (if UPLO='L') or the upper
triangle (if UPLO='U') of A, including the diagonal, is
destroyed.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,N).
B (input/output) COMPLEX_16 array, dimension (LDB, N)
On entry, the Hermitian matrix B. If UPLO = 'U', the
leading N-by-N upper triangular part of B contains the
upper triangular part of the matrix B. If UPLO = 'L',
the leading N-by-N lower triangular part of B contains
the lower triangular part of the matrix B.
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**H*U or B = L*L**H.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max(1,N).
VL (input) DOUBLE PRECISION
VU (input) DOUBLE PRECISION
If RANGE='V', the lower and upper bounds of the interval to
be searched for eigenvalues. VL < VU.
Not referenced if RANGE = 'A' or 'I'.
IL (input) INTEGER
IU (input) INTEGER
If RANGE='I', the indices (in ascending order) of the
smallest and largest eigenvalues to be returned.
1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if N = 0.
Not referenced if RANGE = 'A' or 'V'.
ABSTOL (input) DOUBLE PRECISION
The absolute error tolerance for the eigenvalues.
An approximate eigenvalue is accepted as converged
when it is determined to lie in an interval [a,b]
of width less than or equal to
ABSTOL + EPS * max( |a|,|b| ) ,
where EPS is the machine precision. If ABSTOL is less than
or equal to zero, then EPS*|T| will be used in its place,
where |T| is the 1-norm of the tridiagonal matrix obtained
by reducing A to tridiagonal form.
Eigenvalues will be computed most accurately when ABSTOL is
set to twice the underflow threshold 2*DLAMCH('S'), not zero.
If this routine returns with INFO>0, indicating that some
eigenvectors did not converge, try setting ABSTOL to
2*DLAMCH('S').
M (output) INTEGER
The total number of eigenvalues found. 0 <= M <= N.
If RANGE = 'A', M = N, and if RANGE = 'I', M = IU-IL+1.
W (output) DOUBLE PRECISION array, dimension (N)
The first M elements contain the selected
eigenvalues in ascending order.
Z (output) COMPLEX_16 array, dimension (LDZ, max(1,M))
If JOBZ = 'N', then Z is not referenced.
If JOBZ = 'V', then if INFO = 0, the first M columns of Z
contain the orthonormal eigenvectors of the matrix A
corresponding to the selected eigenvalues, with the i-th
column of Z holding the eigenvector associated with W(i).
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 an eigenvector fails to converge, then that column of Z
contains the latest approximation to the eigenvector, and the
index of the eigenvector is returned in IFAIL.
Note: the user must ensure that at least max(1,M) columns are
supplied in the array Z; if RANGE = 'V', the exact value of M
is not known in advance and an upper bound must be used.
LDZ (input) INTEGER
The leading dimension of the array Z. LDZ >= 1, and if
JOBZ = 'V', LDZ >= max(1,N).
WORK (workspace/output) COMPLEX_16 array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The length of the array WORK. LWORK >= max(1,2*N).
For optimal efficiency, LWORK >= (NB+1)*N,
where NB is the blocksize for ZHETRD returned by ILAENV.
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.
RWORK (workspace) DOUBLE PRECISION array, dimension (7*N)
IWORK (workspace) INTEGER array, dimension (5*N)
IFAIL (output) INTEGER array, dimension (N)
If JOBZ = 'V', then if INFO = 0, the first M elements of
IFAIL are zero. If INFO > 0, then IFAIL contains the
indices of the eigenvectors that failed to converge.
If JOBZ = 'N', then IFAIL is not referenced.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: ZPOTRF or ZHEEVX returned an error code:
<= N: if INFO = i, ZHEEVX failed to converge;
i eigenvectors failed to converge. Their indices
are stored in array IFAIL.
> 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
===================================================================== */
char uplo_[2] = {uplo, 0};
char jobz_[2] = {jobz, 0};
char range_[2] = {range, 0};
magmaDoubleComplex c_one = MAGMA_Z_ONE;
magmaDoubleComplex *da;
magmaDoubleComplex *db;
magmaDoubleComplex *dz;
magma_int_t ldda = n;
magma_int_t lddb = n;
magma_int_t lddz = n;
magma_int_t lower;
char trans[1];
magma_int_t wantz;
magma_int_t lquery;
magma_int_t alleig, valeig, indeig;
magma_int_t lwmin;
magma_queue_t stream;
magma_queue_create( &stream );
wantz = lapackf77_lsame(jobz_, MagmaVecStr);
lower = lapackf77_lsame(uplo_, MagmaLowerStr);
alleig = lapackf77_lsame(range_, "A");
valeig = lapackf77_lsame(range_, "V");
indeig = lapackf77_lsame(range_, "I");
lquery = lwork == -1;
*info = 0;
if (itype < 1 || itype > 3) {
*info = -1;
} else if (! (alleig || valeig || indeig)) {
*info = -2;
} else if (! (wantz || lapackf77_lsame(jobz_, MagmaNoVecStr))) {
*info = -3;
} else if (! (lower || lapackf77_lsame(uplo_, MagmaUpperStr))) {
*info = -4;
} else if (n < 0) {
*info = -5;
} else if (lda < max(1,n)) {
*info = -7;
} else if (ldb < max(1,n)) {
*info = -9;
} else if (ldz < 1 || (wantz && ldz < n)) {
*info = -18;
} else {
if (valeig) {
if (n > 0 && vu <= vl) {
*info = -11;
}
} else if (indeig) {
if (il < 1 || il > max(1,n)) {
*info = -12;
} else if (iu < min(n,il) || iu > n) {
*info = -13;
}
}
}
magma_int_t nb = magma_get_zhetrd_nb(n);
lwmin = n * (nb + 1);
MAGMA_Z_SET2REAL(work[0],(double)lwmin);
if (lwork < lwmin && ! lquery) {
*info = -20;
}
if (*info != 0) {
magma_xerbla( __func__, -(*info));
return *info;
} else if (lquery) {
return *info;
}
/* Quick return if possible */
if (n == 0) {
return *info;
}
if (MAGMA_SUCCESS != magma_zmalloc( &da, n*ldda ) ||
MAGMA_SUCCESS != magma_zmalloc( &db, n*lddb ) ||
MAGMA_SUCCESS != magma_zmalloc( &dz, n*lddz )) {
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
/* Form a Cholesky factorization of B. */
magma_zsetmatrix( n, n, b, ldb, db, lddb );
magma_zsetmatrix_async( n, n,
a, lda,
da, ldda, stream );
magma_zpotrf_gpu(uplo_[0], n, db, lddb, info);
if (*info != 0) {
*info = n + *info;
return *info;
}
magma_queue_sync( stream );
magma_zgetmatrix_async( n, n,
db, lddb,
b, ldb, stream );
/* Transform problem to standard eigenvalue problem and solve. */
magma_zhegst_gpu(itype, uplo, n, da, ldda, db, lddb, info);
magma_zheevx_gpu(jobz, range, uplo, n, da, ldda, vl, vu, il, iu, abstol, m, w, dz, lddz, a, lda, z, ldz, work, lwork, rwork, iwork, ifail, info);
if (wantz && *info == 0) {
/* 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) {
*(unsigned char *)trans = MagmaConjTrans;
} else {
*(unsigned char *)trans = MagmaNoTrans;
}
magma_ztrsm(MagmaLeft, uplo, *trans, MagmaNonUnit, n, *m, c_one, db, lddb, dz, lddz);
}
else if (itype == 3) {
/* For B*A*x=(lambda)*x;
backtransform eigenvectors: x = L*y or U'*y */
if (lower) {
*(unsigned char *)trans = MagmaNoTrans;
} else {
*(unsigned char *)trans = MagmaConjTrans;
}
magma_ztrmm(MagmaLeft, uplo, *trans, MagmaNonUnit, n, *m, c_one, db, lddb, dz, lddz);
}
magma_zgetmatrix( n, *m, dz, lddz, z, ldz );
}
magma_queue_sync( stream );
magma_queue_destroy( stream );
magma_free( da );
magma_free( db );
magma_free( dz );
return *info;
} /* zhegvx */
/* ////////////////////////////////////////////////////////////////////////////
-- Testing zpotrf_mgpu
*/
int main( int argc, char** argv)
{
TESTING_CUDA_INIT();
magma_setdevice(0);
magma_timestr_t start, end;
double flops, gpu_perf, cpu_perf;
cuDoubleComplex *h_A, *h_R;
cuDoubleComplex *d_lA[4];
magma_int_t N = 0, n2, mb, nb, nk, lda, ldda, n_local, ldn_local;
//magma_int_t size[10] = {1000,2000,3000,4000,5000,6000,7000,8000,9000,10000};
magma_int_t size[10] = {1024,2048,3072,4032,5184,6016,7040,8064,9088,10112};
magma_int_t n_sizes = 10, flag = 0;
magma_int_t i, j, k, info, num_gpus0 = 1, num_gpus;
const char *uplo = MagmaLowerStr;
cuDoubleComplex c_neg_one = MAGMA_Z_NEG_ONE;
magma_int_t ione = 1;
magma_int_t ISEED[4] = {0,0,0,1};
double work[1], matnorm;
N = size[n_sizes-1];
if (argc != 1){
for(i = 1; i<argc; i++){
if (strcmp("-N", argv[i])==0) {
flag = 1;
N = atoi(argv[++i]);
size[0] = size[n_sizes-1] = N;
}
if (strcmp("-NGPU", argv[i])==0)
num_gpus0 = atoi(argv[++i]);
if (strcmp("-UPLO",argv[i])==0) {
if (strcmp("L",argv[++i])==0) uplo = MagmaLowerStr;
else uplo = MagmaUpperStr;
}
}
if (strcmp(uplo,MagmaLowerStr)==0)
printf("\n testing_zpotrf_mgpu -N %d -NGPU %d -UPLO L\n\n", (int) N, (int) num_gpus0 );
else
printf("\n testing_zpotrf_mgpu -N %d -NGPU %d -UPLO U\n\n", (int) N, (int) num_gpus0 );
} else {
printf("\nDefault: \n");
printf(" testing_zpotrf_mgpu -N %d:%d -NGPU %d -UPLO L\n\n", (int) size[0], (int) size[n_sizes-1], (int) num_gpus0 );
}
if( N <= 0 || num_gpus0 <= 0 ) {
printf( " invalid input N=%d NGPU=%d\n", (int) N, (int) num_gpus0 );
exit(1);
}
/* looking for max. ldda */
ldda = 0;
n2 = 0;
for(i=0; i<n_sizes; i++){
N = size[i];
nb = magma_get_zpotrf_nb(N);
mb = nb;
if( num_gpus0 > N/nb ) {
num_gpus = N/nb;
if( N%nb != 0 ) num_gpus ++;
} else {
num_gpus = num_gpus0;
}
n_local = nb*(1+N/(nb*num_gpus)) * mb*((N+mb-1)/mb);
if( n_local > ldda ) ldda = n_local;
if( n2 < N*N ) n2 = N*N;
if (flag != 0) break;
}
/* Allocate host memory for the matrix */
TESTING_HOSTALLOC( h_A, cuDoubleComplex, n2);
TESTING_HOSTALLOC( h_R, cuDoubleComplex, n2);
/* allocate local matrix on GPU */
for(i=0; i<num_gpus0; i++){
magma_setdevice(i);
TESTING_DEVALLOC( d_lA[i], cuDoubleComplex, ldda );
}
magma_setdevice(0);
printf(" N CPU GFlop/s GPU GFlop/s ||R||_F / ||A||_F\n");
printf("========================================================\n");
for(i=0; i<n_sizes; i++){
N = size[i];
lda = N;
n2 = lda*N;
flops = FLOPS( (double)N ) / 1000000;
/* Initialize the matrix */
lapackf77_zlarnv( &ione, ISEED, &n2, h_A );
/* Symmetrize and increase the diagonal */
{
magma_int_t i, j;
for(i=0; i<N; i++) {
MAGMA_Z_SET2REAL( h_A[i*lda+i], ( MAGMA_Z_REAL(h_A[i*lda+i]) + 1.*N ) );
for(j=0; j<i; j++)
h_A[i*lda+j] = cuConj(h_A[j*lda+i]);
}
}
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_A, &lda, h_R, &lda );
/* ====================================================================
Performs operation using MAGMA
=================================================================== */
nb = magma_get_zpotrf_nb(N);
if( num_gpus0 > N/nb ) {
num_gpus = N/nb;
if( N%nb != 0 ) num_gpus ++;
printf( " * too many GPUs for the matrix size, using %d GPUs\n", (int) num_gpus );
} else {
num_gpus = num_gpus0;
}
/* distribute matrix to gpus */
if( lapackf77_lsame(uplo, "U") ) {
/* going through each block-column */
ldda = ((N+mb-1)/mb)*mb;
for(j=0; j<N; j+=nb){
k = (j/nb)%num_gpus;
magma_setdevice(k);
nk = min(nb, N-j);
magma_zsetmatrix( N, nk,
h_A+j*lda, lda,
d_lA[k]+j/(nb*num_gpus)*nb*ldda, ldda );
}
} else {
/* going through each block-row */
ldda = (1+N/(nb*num_gpus))*nb;
for(j=0; j<N; j+=nb){
k = (j/nb)%num_gpus;
magma_setdevice(k);
nk = min(nb, N-j);
magma_zsetmatrix( nk, N,
h_A+j, lda,
d_lA[k]+j/(nb*num_gpus)*nb, ldda );
}
}
magma_setdevice(0);
/* call magma_zpotrf_mgpu */
start = get_current_time();
magma_zpotrf_mgpu(num_gpus, uplo[0], N, d_lA, ldda, &info);
end = get_current_time();
if (info < 0) {
printf("Argument %d of magma_zpotrf_mgpu had an illegal value.\n", (int) -info);
break;
} else if (info != 0) {
printf("magma_zpotrf_mgpu returned info=%d\n", (int) info );
break;
}
gpu_perf = flops / GetTimerValue(start, end);
/* gather matrix from gpus */
if( lapackf77_lsame(uplo, "U") ) {
for(j=0; j<N; j+=nb){
k = (j/nb)%num_gpus;
magma_setdevice(k);
nk = min(nb, N-j);
magma_zgetmatrix( N, nk,
d_lA[k]+j/(nb*num_gpus)*nb*ldda, ldda,
h_R+j*lda, lda );
}
} else {
for(j=0; j<N; j+=nb){
k = (j/nb)%num_gpus;
magma_setdevice(k);
nk = min(nb, N-j);
magma_zgetmatrix( nk, N,
d_lA[k]+j/(nb*num_gpus)*nb, ldda,
h_R+j, lda );
}
}
magma_setdevice(0);
/* =====================================================================
Performs operation using LAPACK
=================================================================== */
start = get_current_time();
lapackf77_zpotrf(uplo, &N, h_A, &lda, &info);
end = get_current_time();
if (info < 0) {
printf("Argument %d of zpotrf had an illegal value.\n", (int) -info);
break;
} else if (info != 0) {
printf("lapackf77_zpotrf returned info=%d\n", (int) info );
break;
}
cpu_perf = flops / GetTimerValue(start, end);
/* =====================================================================
Check the result compared to LAPACK
=================================================================== */
matnorm = lapackf77_zlange("f", &N, &N, h_A, &lda, work);
blasf77_zaxpy(&n2, &c_neg_one, h_A, &ione, h_R, &ione);
printf("%5d %6.2f %6.2f %e\n",
(int) size[i], cpu_perf, gpu_perf,
lapackf77_zlange("f", &N, &N, h_R, &lda, work) / matnorm);
if (flag != 0) break;
}
/* Memory clean up */
TESTING_HOSTFREE( h_A );
TESTING_HOSTFREE( h_R );
for(i=0; i<num_gpus; i++){
magma_setdevice(i);
TESTING_DEVFREE( d_lA[i] );
}
/* Shutdown */
TESTING_CUDA_FINALIZE();
}
extern "C" magma_int_t
magma_zunmqr(magma_side_t side, magma_trans_t trans,
magma_int_t m, magma_int_t n, magma_int_t k,
magmaDoubleComplex *a, magma_int_t lda,
magmaDoubleComplex *tau,
magmaDoubleComplex *c, magma_int_t ldc,
magmaDoubleComplex *work, magma_int_t lwork,
magma_int_t *info, magma_queue_t queue)
{
/* -- MAGMA (version 1.1.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2014
Purpose
=======
ZUNMQR overwrites the general complex M-by-N matrix C with
SIDE = 'L' SIDE = 'R'
TRANS = 'N': Q * C C * Q
TRANS = 'T': Q**H * C C * Q**H
where Q is a complex orthogonal matrix defined as the product of k
elementary reflectors
Q = H(1) H(2) . . . H(k)
as returned by ZGEQRF. 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**H from the Left;
= 'R': apply Q or Q**H from the Right.
TRANS (input) CHARACTER*1
= 'N': No transpose, apply Q;
= 'T': Transpose, apply Q**H.
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) COMPLEX_16 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
ZGEQRF in the first k columns of its array argument A.
A is modified by the routine but restored on exit.
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) COMPLEX_16 array, dimension (K)
TAU(i) must contain the scalar factor of the elementary
reflector H(i), as returned by ZGEQRF.
C (input/output) COMPLEX_16 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.
LDC (input) INTEGER
The leading dimension of the array C. LDC >= max(1,M).
WORK (workspace/output) COMPLEX_16 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
===================================================================== */
magmaDoubleComplex c_one = MAGMA_Z_ONE;
magma_side_t side_ = side;
magma_trans_t trans_ = trans;
/* Allocate work space on the GPU */
magmaDoubleComplex_ptr dwork, dc;
magma_zmalloc( &dc, (m)*(n) );
magma_zmalloc( &dwork, (m + n + 64)*64 );
/* Copy matrix C from the CPU to the GPU */
magma_zsetmatrix( m, n, c, 0, ldc, dc, 0, m, queue );
//dc -= (1 + m);
size_t dc_offset = -(1+m);
magma_int_t a_offset, c_offset, i__4, lddwork;
magma_int_t i__;
magmaDoubleComplex t[2*4160] /* was [65][64] */;
magma_int_t i1, i2, i3, ib, ic, jc, nb, mi, ni, nq, nw;
int left, notran, lquery;
magma_int_t iinfo, lwkopt;
a_offset = 1 + lda;
a -= a_offset;
--tau;
c_offset = 1 + ldc;
c -= c_offset;
*info = 0;
left = lapackf77_lsame(lapack_const(side_), "L");
notran = lapackf77_lsame(lapack_const(trans_), "N");
lquery = (lwork == -1);
/* NQ is the order of Q and NW is the minimum dimension of WORK */
if (left) {
nq = m;
nw = n;
} else {
nq = n;
nw = m;
}
if (! left && ! lapackf77_lsame(lapack_const(side_), "R")) {
*info = -1;
} else if (! notran && ! lapackf77_lsame(lapack_const(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;
}
if (*info == 0)
{
/* Determine the block size. NB may be at most NBMAX, where NBMAX
is used to define the local array T. */
nb = 64;
lwkopt = max(1,nw) * nb;
MAGMA_Z_SET2REAL( work[0], lwkopt );
}
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_zunmqr(lapack_const(side_), lapack_const(trans_), &m, &n, &k, &a[a_offset], &lda, &tau[1],
&c[c_offset], &ldc, work, &lwork, &iinfo);
}
else
{
/* Use hybrid CPU-GPU code */
if ( ( left && (! notran) ) || ( (! left) && notran ) ) {
i1 = 1;
i2 = k;
i3 = nb;
} else {
i1 = (k - 1) / nb * nb + 1;
i2 = 1;
i3 = -nb;
}
if (left) {
ni = n;
jc = 1;
} else {
mi = m;
ic = 1;
}
for (i__ = i1; i3 < 0 ? i__ >= i2 : i__ <= i2; i__ += i3)
{
ib = min(nb, k - i__ + 1);
/* Form the triangular factor of the block reflector
H = H(i) H(i+1) . . . H(i+ib-1) */
i__4 = nq - i__ + 1;
lapackf77_zlarft("F", "C", &i__4, &ib, &a[i__ + i__ * lda], &lda,
&tau[i__], t, &ib);
/* 1) Put 0s in the upper triangular part of A;
2) copy the panel from A to the GPU, and
3) restore A */
zpanel_to_q(MagmaUpper, ib, &a[i__ + i__ * lda], lda, t+ib*ib);
magma_zsetmatrix( i__4, ib, &a[i__ + i__ * lda], 0, lda, dwork, 0, i__4, queue );
zq_to_panel(MagmaUpper, ib, &a[i__ + i__ * lda], lda, t+ib*ib);
if (left)
{
/* H or H' is applied to C(i:m,1:n) */
mi = m - i__ + 1;
ic = i__;
}
else
{
/* H or H' is applied to C(1:m,i:n) */
ni = n - i__ + 1;
jc = i__;
}
if (left)
lddwork = ni;
else
lddwork = mi;
/* Apply H or H'; First copy T to the GPU */
magma_zsetmatrix( ib, ib, t, 0, ib, dwork, i__4*ib, ib, queue );
magma_zlarfb_gpu( side, trans, MagmaForward, MagmaColumnwise,
mi, ni, ib,
dwork, 0, i__4, dwork, i__4*ib, ib,
dc, dc_offset+(ic + jc * m), m,
dwork, (i__4*ib + ib*ib), lddwork, queue);
}
magma_zgetmatrix( m, n, dc, dc_offset+(1+m), m, &c[c_offset], 0, ldc, queue );
}
MAGMA_Z_SET2REAL( work[0], lwkopt );
//dc += (1 + m);
magma_free( dc );
magma_free( dwork );
return *info;
} /* magma_zunmqr */
extern "C" magma_int_t
magma_zunmtr(char side, char uplo, char trans,
magma_int_t m, magma_int_t n,
cuDoubleComplex *a, magma_int_t lda,
cuDoubleComplex *tau,
cuDoubleComplex *c, magma_int_t ldc,
cuDoubleComplex *work, magma_int_t lwork,
magma_int_t *info)
{
/* -- MAGMA (version 1.3.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
November 2012
Purpose
=======
ZUNMTR overwrites the general complex M-by-N matrix C with
SIDE = 'L' SIDE = 'R'
TRANS = 'N': Q * C C * Q
TRANS = 'T': Q**H * C C * Q**H
where Q is a complex orthogonal matrix of order nq, with nq = m if
SIDE = 'L' and nq = n if SIDE = 'R'. Q is defined as the product of
nq-1 elementary reflectors, as returned by SSYTRD:
if UPLO = 'U', Q = H(nq-1) . . . H(2) H(1);
if UPLO = 'L', Q = H(1) H(2) . . . H(nq-1).
Arguments
=========
SIDE (input) CHARACTER*1
= 'L': apply Q or Q**H from the Left;
= 'R': apply Q or Q**H from the Right.
UPLO (input) CHARACTER*1
= 'U': Upper triangle of A contains elementary reflectors
from SSYTRD;
= 'L': Lower triangle of A contains elementary reflectors
from SSYTRD.
TRANS (input) CHARACTER*1
= 'N': No transpose, apply Q;
= 'T': Transpose, apply Q**H.
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.
A (input) COMPLEX_16 array, dimension
(LDA,M) if SIDE = 'L'
(LDA,N) if SIDE = 'R'
The vectors which define the elementary reflectors, as
returned by SSYTRD.
LDA (input) INTEGER
The leading dimension of the array A.
LDA >= max(1,M) if SIDE = 'L'; LDA >= max(1,N) if SIDE = 'R'.
TAU (input) COMPLEX_16 array, dimension
(M-1) if SIDE = 'L'
(N-1) if SIDE = 'R'
TAU(i) must contain the scalar factor of the elementary
reflector H(i), as returned by SSYTRD.
C (input/output) COMPLEX_16 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.
LDC (input) INTEGER
The leading dimension of the array C. LDC >= max(1,M).
WORK (workspace/output) COMPLEX_16 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.
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.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
===================================================================== */
cuDoubleComplex c_one = MAGMA_Z_ONE;
char side_[2] = {side, 0};
char uplo_[2] = {uplo, 0};
char trans_[2] = {trans, 0};
magma_int_t i__2;
magma_int_t i1, i2, nb, mi, ni, nq, nw;
int left, upper, lquery;
magma_int_t iinfo;
magma_int_t lwkopt;
*info = 0;
left = lapackf77_lsame(side_, "L");
upper = lapackf77_lsame(uplo_, "U");
lquery = lwork == -1;
/* NQ is the order of Q and NW is the minimum dimension of WORK */
if (left) {
nq = m;
nw = n;
} else {
nq = n;
nw = m;
}
if (! left && ! lapackf77_lsame(side_, "R")) {
*info = -1;
} else if (! upper && ! lapackf77_lsame(uplo_, "L")) {
*info = -2;
} else if (! lapackf77_lsame(trans_, "N") &&
! lapackf77_lsame(trans_, "C")) {
*info = -3;
} else if (m < 0) {
*info = -4;
} else if (n < 0) {
*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;
}
if (*info == 0)
{
nb = 32;
lwkopt = max(1,nw) * nb;
MAGMA_Z_SET2REAL( work[0], lwkopt );
}
if (*info != 0) {
magma_xerbla( __func__, -(*info) );
return *info;
}
else if (lquery) {
return *info;
}
/* Quick return if possible */
if (m == 0 || n == 0 || nq == 1) {
work[0] = c_one;
return *info;
}
if (left) {
mi = m - 1;
ni = n;
} else {
mi = m;
ni = n - 1;
}
if (upper)
{
/* Q was determined by a call to SSYTRD with UPLO = 'U' */
i__2 = nq - 1;
//lapackf77_zunmql(side_, trans_, &mi, &ni, &i__2, &a[lda], &lda,
// tau, c, &ldc, work, &lwork, &iinfo);
magma_zunmql(side, trans, mi, ni, i__2, &a[lda], lda, tau,
c, ldc, work, lwork, &iinfo);
}
else
{
/* Q was determined by a call to SSYTRD with UPLO = 'L' */
if (left) {
i1 = 1;
i2 = 0;
} else {
i1 = 0;
i2 = 1;
}
i__2 = nq - 1;
magma_zunmqr(side, trans, mi, ni, i__2, &a[1], lda, tau,
&c[i1 + i2 * ldc], ldc, work, lwork, &iinfo);
}
MAGMA_Z_SET2REAL( work[0], lwkopt );
return *info;
} /* magma_zunmtr */
extern "C" magma_int_t
magma_zunmqr_m(magma_int_t nrgpu, char side, char trans,
magma_int_t m, magma_int_t n, magma_int_t k,
cuDoubleComplex *a, magma_int_t lda,
cuDoubleComplex *tau,
cuDoubleComplex *c, magma_int_t ldc,
cuDoubleComplex *work, magma_int_t lwork,
magma_int_t *info)
{
/* -- MAGMA (version 1.3.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
November 2012
Purpose
=======
ZUNMQR overwrites the general complex M-by-N matrix C with
SIDE = 'L' SIDE = 'R'
TRANS = 'N': Q * C C * Q
TRANS = 'T': Q**H * C C * Q**H
where Q is a complex orthogonal matrix defined as the product of k
elementary reflectors
Q = H(1) H(2) . . . H(k)
as returned by ZGEQRF. 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**H from the Left;
= 'R': apply Q or Q**H from the Right.
TRANS (input) CHARACTER*1
= 'N': No transpose, apply Q;
= 'T': Transpose, apply Q**H.
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) COMPLEX_16 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
ZGEQRF 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) COMPLEX_16 array, dimension (K)
TAU(i) must contain the scalar factor of the elementary
reflector H(i), as returned by ZGEQRF.
C (input/output) COMPLEX_16 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.
LDC (input) INTEGER
The leading dimension of the array C. LDC >= max(1,M).
WORK (workspace/output) COMPLEX_16 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
===================================================================== */
cuDoubleComplex c_one = MAGMA_Z_ONE;
char side_[2] = {side, 0};
char trans_[2] = {trans, 0};
cuDoubleComplex* dw[MagmaMaxGPUs];
cudaStream_t stream [MagmaMaxGPUs][2];
magma_int_t ind_c, kb;
magma_int_t i__4;
magma_int_t i;
cuDoubleComplex t[4160]; /* was [65][64] */
magma_int_t i1, i2, i3, ib, nb, nq, nw;
magma_int_t left, notran, lquery;
magma_int_t iinfo, lwkopt;
magma_int_t igpu = 0;
int gpu_b;
magma_getdevice(&gpu_b);
*info = 0;
left = lapackf77_lsame(side_, "L");
notran = lapackf77_lsame(trans_, "N");
lquery = (lwork == -1);
/* NQ is the order of Q and NW is the minimum dimension of WORK */
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;
}
if (*info == 0)
{
/* Determine the block size. NB may be at most NBMAX, where NBMAX
is used to define the local array T. */
nb = 64;
lwkopt = max(1,nw) * nb;
MAGMA_Z_SET2REAL( work[0], lwkopt );
}
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;
}
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 n_l = (n+nrgpu-1)/nrgpu; // local n
n_l = ((n_l+63)/64)*64;
if (n_l<256)
n_l=256;
nrgpu = min(nrgpu, (n+n_l-1)/n_l); // Don't use GPU that will not have data.
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magmablasSetKernelStream(NULL);
if (MAGMA_SUCCESS != magma_zmalloc( &dw[igpu], (n_l*lddc + 2*lddac*lddar + 2*(nb + 1 + lddwork)*nb))) {
magma_xerbla( __func__, -(*info) );
*info = MAGMA_ERR_DEVICE_ALLOC;
return *info;
}
magma_queue_create( &stream[igpu][0] );
magma_queue_create( &stream[igpu][1] );
}
if (nb >= k)
{
/* Use CPU code */
lapackf77_zunmqr(side_, trans_, &m, &n, &k, a, &lda, tau,
c, &ldc, work, &lwork, &iinfo);
}
else
{
/* Use hybrid CPU-MGPU code */
if (left) {
//copy C to mgpus
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
kb = min(n_l, n-igpu*n_l);
magma_zsetmatrix_async( m, kb,
C(0, igpu*n_l), ldc,
dC(igpu, 0, 0), lddc, stream[igpu][0] );
}
if ( !notran ) {
i1 = 0;
i2 = k;
i3 = nb;
} else {
i1 = (k - 1) / nb * nb;
i2 = 0;
i3 = -nb;
}
kb = min(nb, k-i1);
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magma_zsetmatrix_async( nq-i1, kb,
A(i1, i1), lda,
dA_c(igpu, 0, i1, 0), lddac, stream[igpu][0] );
}
ind_c = 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_zlarft("F", "C", &i__4, &ib, A(i, i), &lda,
&tau[i], t, &ib);
/* 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_zsetmatrix_async( ib, ib,
t, ib,
dt(igpu, ind_c), ib, stream[igpu][ind_c] );
magma_queue_sync( stream[igpu][ind_c] ); // Makes sure that we can change t next iteration.
}
// start the copy of next A panel
kb = min(nb, k - i - i3);
if (kb > 0 && i+i3 >= 0){
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magma_zsetmatrix_async( nq-(i+i3), kb,
A(i+i3, i+i3), lda,
dA_c(igpu, (ind_c+1)%2, i+i3, 0), lddac, stream[igpu][(ind_c+1)%2] );
}
}
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
// Put 0s in the upper triangular part of dA;
magmablas_zsetdiag1subdiag0_stream('L', ib, ib, dA_c(igpu, ind_c, i, 0), lddac, stream[igpu][ind_c]);
kb = min(n_l, n-igpu*n_l);
magmablasSetKernelStream(stream[igpu][ind_c]);
magma_zlarfb_gpu( side, trans, MagmaForward, MagmaColumnwise,
m-i, kb, ib,
dA_c(igpu, ind_c, i, 0), lddac, dt(igpu, ind_c), ib,
dC(igpu, i, 0), lddc,
dwork(igpu, ind_c), lddwork);
}
ind_c = (ind_c+1)%2;
}
//copy C from mgpus
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magma_queue_sync( stream[igpu][0] );
magma_queue_sync( stream[igpu][1] );
kb = min(n_l, n-igpu*n_l);
//asynchronous copy gives problems sometimes...
// magma_zgetmatrix_async( m, kb,
// dC(igpu, 0, 0), lddc,
// C(0, igpu*n_l), ldc, stream[igpu][0] );
magma_zgetmatrix( m, kb,
dC(igpu, 0, 0), lddc,
C(0, igpu*n_l), ldc );
}
} 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_zlarft("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_zsetmatrix( i__4, ib, A(i, i), lda, dA(i, 0), ldda );
magmablas_zsetdiag1subdiag0('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_zsetmatrix( ib, ib, t, ib, dt, ib );
magma_zlarfb_gpu( side, trans, MagmaForward, MagmaColumnwise,
mi, ni, ib,
dA(i, 0), ldda, dt, ib,
dC(ic, jc), lddc,
dwork, lddwork);
}
*/
}
}
MAGMA_Z_SET2REAL( work[0], lwkopt );
for (igpu = 0; igpu < nrgpu; ++igpu){
magma_setdevice(igpu);
magma_queue_sync( stream[igpu][0] );
magmablasSetKernelStream(NULL);
magma_queue_destroy( stream[igpu][0] );
magma_queue_destroy( stream[igpu][1] );
magma_free( dw[igpu] );
}
magma_setdevice(gpu_b);
return *info;
} /* magma_zunmqr */
/* ////////////////////////////////////////////////////////////////////////////
-- Testing zpotri
*/
int main( int argc, char** argv)
{
TESTING_CUDA_INIT();
magma_timestr_t start, end;
double flops, gpu_perf, cpu_perf;
cuDoubleComplex *h_A, *h_R;
magma_int_t N=0, n2, lda;
magma_int_t size[10] = {1024,2048,3072,4032,5184,6016,7040,8064,9088,10112};
magma_int_t i, info;
const char *uplo = MagmaLowerStr;
cuDoubleComplex c_neg_one = MAGMA_Z_NEG_ONE;
magma_int_t ione = 1;
magma_int_t ISEED[4] = {0,0,0,1};
double work[1], matnorm;
if (argc != 1){
for(i = 1; i<argc; i++){
if (strcmp("-N", argv[i])==0)
N = atoi(argv[++i]);
}
if (N>0) size[0] = size[9] = N;
else exit(1);
}
else {
printf("\nUsage: \n");
printf(" testing_zpotri -N %d\n\n", 1024);
}
/* Allocate host memory for the matrix */
n2 = size[9] * size[9];
TESTING_MALLOC( h_A, cuDoubleComplex, n2);
TESTING_HOSTALLOC( h_R, cuDoubleComplex, n2);
printf(" N CPU GFlop/s GPU GFlop/s ||R||_F / ||A||_F\n");
printf("========================================================\n");
for(i=0; i<10; i++){
N = size[i];
lda = N;
n2 = lda*N;
flops = FLOPS_ZPOTRI( (double)N ) / 1000000;
/* ====================================================================
Initialize the matrix
=================================================================== */
lapackf77_zlarnv( &ione, ISEED, &n2, h_A );
/* Symmetrize and increase the diagonal */
{
magma_int_t i, j;
for(i=0; i<N; i++) {
MAGMA_Z_SET2REAL( h_A[i*lda+i], ( MAGMA_Z_REAL(h_A[i*lda+i]) + 1.*N ) );
for(j=0; j<i; j++)
h_A[i*lda+j] = cuConj(h_A[j*lda+i]);
}
}
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_A, &lda, h_R, &lda );
/* ====================================================================
Performs operation using MAGMA
=================================================================== */
/* warm-up */
magma_zpotrf(uplo[0], N, h_R, lda, &info);
magma_zpotri(uplo[0], N, h_R, lda, &info);
lapackf77_zlacpy( MagmaUpperLowerStr, &N, &N, h_A, &lda, h_R, &lda );
/* factorize matrix */
magma_zpotrf(uplo[0], N, h_R, lda, &info);
// check for exact singularity
//h_R[ 10 + 10*lda ] = MAGMA_Z_MAKE( 0.0, 0.0 );
start = get_current_time();
magma_zpotri(uplo[0], N, h_R, lda, &info);
end = get_current_time();
if (info != 0)
printf("magma_zpotri returned error %d\n", (int) info);
gpu_perf = flops / GetTimerValue(start, end);
/* =====================================================================
Performs operation using LAPACK
=================================================================== */
lapackf77_zpotrf(uplo, &N, h_A, &lda, &info);
start = get_current_time();
lapackf77_zpotri(uplo, &N, h_A, &lda, &info);
end = get_current_time();
if (info != 0)
printf("lapackf77_zpotri returned error %d\n", (int) info);
cpu_perf = flops / GetTimerValue(start, end);
/* =====================================================================
Check the result compared to LAPACK
=================================================================== */
matnorm = lapackf77_zlange("f", &N, &N, h_A, &N, work);
blasf77_zaxpy(&n2, &c_neg_one, h_A, &ione, h_R, &ione);
printf("%5d %6.2f %6.2f %e\n",
(int) size[i], cpu_perf, gpu_perf,
lapackf77_zlange("f", &N, &N, h_R, &N, work) / matnorm );
if (argc != 1)
break;
}
/* Memory clean up */
TESTING_FREE( h_A );
TESTING_HOSTFREE( h_R );
TESTING_CUDA_FINALIZE();
}
extern "C" magma_int_t
magma_zungtr(char uplo, magma_int_t n, magmaDoubleComplex *a,
magma_int_t lda, magmaDoubleComplex *tau,
magmaDoubleComplex *work, magma_int_t lwork,
magmaDoubleComplex *dT, magma_int_t nb,
magma_int_t *info)
{
/* -- MAGMA (version 1.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
August 2013
Purpose
=======
ZUNGTR generates a complex unitary matrix Q which is defined as the
product of n-1 elementary reflectors of order N, as returned by
ZHETRD:
if UPLO = 'U', Q = H(n-1) . . . H(2) H(1),
if UPLO = 'L', Q = H(1) H(2) . . . H(n-1).
Arguments
=========
UPLO (input) CHARACTER*1
= 'U': Upper triangle of A contains elementary reflectors
from ZHETRD;
= 'L': Lower triangle of A contains elementary reflectors
from ZHETRD.
N (input) INTEGER
The order of the matrix Q. N >= 0.
A (input/output) COMPLEX_16 array, dimension (LDA,N)
On entry, the vectors which define the elementary reflectors,
as returned by ZHETRD.
On exit, the N-by-N unitary matrix Q.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= N.
TAU (input) COMPLEX_16 array, dimension (N-1)
TAU(i) must contain the scalar factor of the elementary
reflector H(i), as returned by ZHETRD.
WORK (workspace/output) COMPLEX_16 array, dimension (LWORK)
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The dimension of the array WORK. LWORK >= N-1.
For optimum performance LWORK >= N*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.
DT (input) COMPLEX_16 array on the GPU device.
DT contains the T matrices used in blocking the elementary
reflectors H(i) as returned by magma_zhetrd.
NB (input) INTEGER
This is the block size used in ZHETRD, 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 had an illegal value
===================================================================== */
#define a_ref(i,j) ( a + (j)*lda+ (i))
char uplo_[2] = {uplo, 0};
magma_int_t i__1;
magma_int_t i, j;
magma_int_t iinfo;
magma_int_t upper, lwkopt, lquery;
*info = 0;
lquery = lwork == -1;
upper = lapackf77_lsame(uplo_, "U");
if (! upper && ! lapackf77_lsame(uplo_, "L")) {
*info = -1;
} else if (n < 0) {
*info = -2;
} else if (lda < max(1,n)) {
*info = -4;
} else /* if(complicated condition) */ {
/* Computing MAX */
if (lwork < max(1, n-1) && ! lquery) {
*info = -7;
}
}
lwkopt = max(1, n) * nb;
if (*info == 0) {
MAGMA_Z_SET2REAL( work[0], lwkopt);
}
if (*info != 0) {
magma_xerbla( __func__, -(*info));
return *info;
} else if (lquery) {
return *info;
}
/* Quick return if possible */
if (n == 0) {
work[0] = MAGMA_Z_ONE;
return *info;
}
if (upper) {
/* Q was determined by a call to ZHETRD with UPLO = 'U'
Shift the vectors which define the elementary reflectors one
column to the left, and set the last row and column of Q to
those of the unit matrix */
for (j = 0; j < n-1; ++j) {
for (i = 0; i < j-1; ++i)
*a_ref(i, j) = *a_ref(i, j + 1);
*a_ref(n-1, j) = MAGMA_Z_ZERO;
}
for (i = 0; i < n-1; ++i) {
*a_ref(i, n-1) = MAGMA_Z_ZERO;
}
*a_ref(n-1, n-1) = MAGMA_Z_ONE;
/* Generate Q(1:n-1,1:n-1) */
i__1 = n - 1;
lapackf77_zungql(&i__1, &i__1, &i__1, a_ref(0,0), &lda, tau, work,
&lwork, &iinfo);
} else {
/* Q was determined by a call to ZHETRD with UPLO = 'L'.
Shift the vectors which define the elementary reflectors one
column to the right, and set the first row and column of Q to
those of the unit matrix */
for (j = n-1; j > 0; --j) {
*a_ref(0, j) = MAGMA_Z_ZERO;
for (i = j; i < n-1; ++i)
*a_ref(i, j) = *a_ref(i, j - 1);
}
*a_ref(0, 0) = MAGMA_Z_ONE;
for (i = 1; i < n-1; ++i)
*a_ref(i, 0) = MAGMA_Z_ZERO;
if (n > 1) {
/* Generate Q(2:n,2:n) */
magma_zungqr(n-1, n-1, n-1, a_ref(1, 1), lda, tau, dT, nb, &iinfo);
}
}
MAGMA_Z_SET2REAL( work[0], lwkopt);
return *info;
} /* magma_zungtr */