Exemple #1
0
/**
    Purpose
    -------
    SGEQRF computes a QR factorization of a REAL M-by-N matrix A:
    A = Q * R. This version does not require work space on the GPU
    passed as input. GPU memory is allocated in the routine.

    If the current stream is NULL, this version replaces it with user defined
    stream to overlap computation with communication.

    Arguments
    ---------
    @param[in]
    m       INTEGER
            The number of rows of the matrix A.  M >= 0.

    @param[in]
    n       INTEGER
            The number of columns of the matrix A.  N >= 0.

    @param[in,out]
    A       REAL array, dimension (LDA,N)
            On entry, the M-by-N matrix A.
            On exit, the elements on and above the diagonal of the array
            contain the min(M,N)-by-N upper trapezoidal matrix R (R is
            upper triangular if m >= n); the elements below the diagonal,
            with the array TAU, represent the orthogonal matrix Q as a
            product of min(m,n) elementary reflectors (see Further
            Details).
    \n
            Higher performance is achieved if A is in pinned memory, e.g.
            allocated using magma_malloc_pinned.

    @param[in]
    lda     INTEGER
            The leading dimension of the array A.  LDA >= max(1,M).

    @param[out]
    tau     REAL array, dimension (min(M,N))
            The scalar factors of the elementary reflectors (see Further
            Details).

    @param[out]
    work    (workspace) REAL array, dimension (MAX(1,LWORK))
            On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
    \n
            Higher performance is achieved if WORK is in pinned memory, e.g.
            allocated using magma_malloc_pinned.

    @param[in]
    lwork   INTEGER
            The dimension of the array WORK.  LWORK >= max( N*NB, 2*NB*NB ),
            where NB can be obtained through magma_get_sgeqrf_nb(M).
    \n
            If LWORK = -1, then a workspace query is assumed; the routine
            only calculates the optimal size of the WORK array, returns
            this value as the first entry of the WORK array, and no error
            message related to LWORK is issued.

    @param[out]
    info    INTEGER
      -     = 0:  successful exit
      -     < 0:  if INFO = -i, the i-th argument had an illegal value
                  or another error occured, such as memory allocation failed.

    Further Details
    ---------------
    The matrix Q is represented as a product of elementary reflectors

        Q = H(1) H(2) . . . H(k), where k = min(m,n).

    Each H(i) has the form

        H(i) = I - tau * v * v'

    where tau is a real scalar, and v is a real vector with
    v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i),
    and tau in TAU(i).

    @ingroup magma_sgeqrf_comp
    ********************************************************************/
extern "C" magma_int_t
magma_sgeqrf(magma_int_t m, magma_int_t n,
             float *A,    magma_int_t lda, float *tau,
             float *work, magma_int_t lwork,
             magma_int_t *info )
{
    #define  A(i,j) ( A + (i) + (j)*lda )
    #define dA(i,j) (dA + (i) + (j)*ldda)

    float *dA, *dwork, *dT;
    float c_one = MAGMA_S_ONE;

    magma_int_t i, k, lddwork, old_i, old_ib;
    magma_int_t ib, ldda;

    /* Function Body */
    *info = 0;
    magma_int_t nb = magma_get_sgeqrf_nb(min(m, n));

    // need 2*nb*nb to store T and upper triangle of V simultaneously
    magma_int_t lwkopt = max(n*nb, 2*nb*nb);
    work[0] = MAGMA_S_MAKE( (float)lwkopt, 0 );
    int lquery = (lwork == -1);
    if (m < 0) {
        *info = -1;
    } else if (n < 0) {
        *info = -2;
    } else if (lda < max(1,m)) {
        *info = -4;
    } else if (lwork < max(1, lwkopt) && ! lquery) {
        *info = -7;
    }
    if (*info != 0) {
        magma_xerbla( __func__, -(*info) );
        return *info;
    }
    else if (lquery)
        return *info;

    k = min(m,n);
    if (k == 0) {
        work[0] = c_one;
        return *info;
    }

    // largest N for larfb is n-nb (trailing matrix lacks 1st panel)
    lddwork = ((n+31)/32)*32 - nb;
    ldda    = ((m+31)/32)*32;

    magma_int_t num_gpus = magma_num_gpus();
    if ( num_gpus > 1 ) {
        /* call multiple-GPU interface  */
        return magma_sgeqrf4(num_gpus, m, n, A, lda, tau, work, lwork, info);
    }

    // allocate space for dA, dwork, and dT
    if (MAGMA_SUCCESS != magma_smalloc( &dA, n*ldda + nb*lddwork + nb*nb )) {
        /* Switch to the "out-of-core" (out of GPU-memory) version */
        return magma_sgeqrf_ooc(m, n, A, lda, tau, work, lwork, info);
    }

    /* Define user stream if current stream is NULL */
    magma_queue_t stream[2], current_stream;
    magmablasGetKernelStream(&current_stream);

    magma_queue_create( &stream[0] );
    if (current_stream == NULL) {
        magma_queue_create( &stream[1] );
        magmablasSetKernelStream(stream[1]);
    }
    else {
        stream[1] = current_stream;
    }

    dwork = dA + n*ldda;
    dT    = dA + n*ldda + nb*lddwork;

    if ( (nb > 1) && (nb < k) ) {
        /* Use blocked code initially.
           Asynchronously send the matrix to the GPU except the first panel. */
        magma_ssetmatrix_async( m, n-nb,
                                A(0,nb),  lda,
                                dA(0,nb), ldda, stream[0] );

        old_i = 0;
        old_ib = nb;
        for (i = 0; i < k-nb; i += nb) {
            ib = min(k-i, nb);
            if (i > 0) {
                /* download i-th panel */
                magma_queue_sync( stream[1] );
                magma_sgetmatrix_async( m-i, ib,
                                        dA(i,i), ldda,
                                        A(i,i),  lda, stream[0] );

                /* Apply H' to A(i:m,i+2*ib:n) from the left */
                magma_slarfb_gpu( MagmaLeft, MagmaTrans, MagmaForward, MagmaColumnwise,
                                  m-old_i, n-old_i-2*old_ib, old_ib,
                                  dA(old_i, old_i),          ldda, dT,    nb,
                                  dA(old_i, old_i+2*old_ib), ldda, dwork, lddwork);

                magma_sgetmatrix_async( i, ib,
                                        dA(0,i), ldda,
                                        A(0,i),  lda, stream[1] );
                magma_queue_sync( stream[0] );
            }

            magma_int_t rows = m-i;
            lapackf77_sgeqrf(&rows, &ib, A(i,i), &lda, tau+i, work, &lwork, info);
            
            /* Form the triangular factor of the block reflector
               H = H(i) H(i+1) . . . H(i+ib-1) */
            lapackf77_slarft( MagmaForwardStr, MagmaColumnwiseStr,
                              &rows, &ib, A(i,i), &lda, tau+i, work, &ib);

            spanel_to_q(MagmaUpper, ib, A(i,i), lda, work+ib*ib);

            /* download the i-th V matrix */
            magma_ssetmatrix_async( rows, ib, A(i,i), lda, dA(i,i), ldda, stream[0] );

            /* download the T matrix */
            magma_queue_sync( stream[1] );
            magma_ssetmatrix_async( ib, ib, work, ib, dT, nb, stream[0] );
            magma_queue_sync( stream[0] );

            if (i + ib < n) {
                if (i+ib < k-nb) {
                    /* Apply H' to A(i:m,i+ib:i+2*ib) from the left (look-ahead) */
                    magma_slarfb_gpu( MagmaLeft, MagmaTrans, MagmaForward, MagmaColumnwise,
                                      rows, ib, ib,
                                      dA(i, i   ), ldda, dT,    nb,
                                      dA(i, i+ib), ldda, dwork, lddwork);
                    sq_to_panel(MagmaUpper, ib, A(i,i), lda, work+ib*ib);
                }
                else {
                    /* After last panel, update whole trailing matrix. */
                    /* Apply H' to A(i:m,i+ib:n) from the left */
                    magma_slarfb_gpu( MagmaLeft, MagmaTrans, MagmaForward, MagmaColumnwise,
                                      rows, n-i-ib, ib,
                                      dA(i, i   ), ldda, dT,    nb,
                                      dA(i, i+ib), ldda, dwork, lddwork);
                    sq_to_panel(MagmaUpper, ib, A(i,i), lda, work+ib*ib);
                }

                old_i  = i;
                old_ib = ib;
            }
        }
    } else {
        i = 0;
    }
    
    /* Use unblocked code to factor the last or only block. */
    if (i < k) {
        ib = n-i;
        if (i != 0) {
            magma_sgetmatrix_async( m, ib, dA(0,i), ldda, A(0,i), lda, stream[1] );
            magma_queue_sync( stream[1] );
        }
        magma_int_t rows = m-i;
        lapackf77_sgeqrf(&rows, &ib, A(i,i), &lda, tau+i, work, &lwork, info);
    }

    magma_queue_destroy( stream[0] );
    if (current_stream == NULL) {
        magma_queue_destroy( stream[1] );
        magmablasSetKernelStream(NULL);
    }

    magma_free( dA );
    
    return *info;
} /* magma_sgeqrf */
Exemple #2
0
/**
    Purpose
    -------
    SGEQRF computes a QR factorization of a REAL M-by-N matrix A:
    A = Q * R. This version does not require work space on the GPU
    passed as input. GPU memory is allocated in the routine.

    This uses 2 queues to overlap communication and computation.

    Arguments
    ---------
    @param[in]
    m       INTEGER
            The number of rows of the matrix A.  M >= 0.

    @param[in]
    n       INTEGER
            The number of columns of the matrix A.  N >= 0.

    @param[in,out]
    A       REAL array, dimension (LDA,N)
            On entry, the M-by-N matrix A.
            On exit, the elements on and above the diagonal of the array
            contain the min(M,N)-by-N upper trapezoidal matrix R (R is
            upper triangular if m >= n); the elements below the diagonal,
            with the array TAU, represent the orthogonal matrix Q as a
            product of min(m,n) elementary reflectors (see Further
            Details).
    \n
            Higher performance is achieved if A is in pinned memory, e.g.
            allocated using magma_malloc_pinned.

    @param[in]
    lda     INTEGER
            The leading dimension of the array A.  LDA >= max(1,M).

    @param[out]
    tau     REAL array, dimension (min(M,N))
            The scalar factors of the elementary reflectors (see Further
            Details).

    @param[out]
    work    (workspace) REAL array, dimension (MAX(1,LWORK))
            On exit, if INFO = 0, WORK[0] returns the optimal LWORK.
    \n
            Higher performance is achieved if WORK is in pinned memory, e.g.
            allocated using magma_malloc_pinned.

    @param[in]
    lwork   INTEGER
            The dimension of the array WORK.  LWORK >= max( N*NB, 2*NB*NB ),
            where NB can be obtained through magma_get_sgeqrf_nb( M, N ).
    \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.

    @param[out]
    info    INTEGER
      -     = 0:  successful exit
      -     < 0:  if INFO = -i, the i-th argument had an illegal value
                  or another error occured, such as memory allocation failed.

    Further Details
    ---------------
    The matrix Q is represented as a product of elementary reflectors

        Q = H(1) H(2) . . . H(k), where k = min(m,n).

    Each H(i) has the form

        H(i) = I - tau * v * v'

    where tau is a real scalar, and v is a real vector with
    v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i),
    and tau in TAU(i).

    @ingroup magma_sgeqrf_comp
    ********************************************************************/
extern "C" magma_int_t
magma_sgeqrf(
    magma_int_t m, magma_int_t n,
    float *A,    magma_int_t lda,
    float *tau,
    float *work, magma_int_t lwork,
    magma_int_t *info )
{
    #define  A(i_,j_)  (A + (i_) + (j_)*lda)
    
    #ifdef HAVE_clBLAS
    #define dA(i_,j_)  dA,    ((i_) + (j_)*ldda + dA_offset)
    #define dT(i_,j_)  dT,    ((i_) + (j_)*nb   + dT_offset)
    #define dwork(i_)  dwork, ((i_)             + dwork_offset)
    #else
    #define dA(i_,j_) (dA    + (i_) + (j_)*ldda)
    #define dT(i_,j_) (dT    + (i_) + (j_)*nb)
    #define dwork(i_) (dwork + (i_))
    #endif
    
    /* Constants */
    const float c_one = MAGMA_S_ONE;
    
    /* Local variables */
    magmaFloat_ptr dA, dT, dwork;
    magma_int_t i, ib, min_mn, ldda, lddwork, old_i, old_ib;
    
    /* Function Body */
    *info = 0;
    magma_int_t nb = magma_get_sgeqrf_nb( m, n );
    
    // need 2*nb*nb to store T and upper triangle of V simultaneously
    magma_int_t lwkopt = max( n*nb, 2*nb*nb );
    work[0] = magma_smake_lwork( lwkopt );
    bool lquery = (lwork == -1);
    if (m < 0) {
        *info = -1;
    } else if (n < 0) {
        *info = -2;
    } else if (lda < max(1,m)) {
        *info = -4;
    } else if (lwork < max(1, lwkopt) && ! lquery) {
        *info = -7;
    }
    if (*info != 0) {
        magma_xerbla( __func__, -(*info) );
        return *info;
    }
    else if (lquery)
        return *info;
    
    min_mn = min( m, n );
    if (min_mn == 0) {
        work[0] = c_one;
        return *info;
    }
    
    // largest N for larfb is n-nb (trailing matrix lacks 1st panel)
    lddwork = magma_roundup( n, 32 ) - nb;
    ldda    = magma_roundup( m, 32 );
    
    magma_int_t ngpu = magma_num_gpus();
    if ( ngpu > 1 ) {
        /* call multiple-GPU interface  */
        return magma_sgeqrf_m( ngpu, m, n, A, lda, tau, work, lwork, info );
    }
    
    // allocate space for dA, dwork, and dT
    if (MAGMA_SUCCESS != magma_smalloc( &dA, n*ldda + nb*lddwork + nb*nb )) {
        /* alloc failed so call non-GPU-resident version */
        return magma_sgeqrf_ooc( m, n, A, lda, tau, work, lwork, info );
    }
    
    dwork = dA + n*ldda;
    dT    = dA + n*ldda + nb*lddwork;
    
    magma_queue_t queues[2];
    magma_device_t cdev;
    magma_getdevice( &cdev );
    magma_queue_create( cdev, &queues[0] );
    magma_queue_create( cdev, &queues[1] );
    
    if ( (nb > 1) && (nb < min_mn) ) {
        /* Use blocked code initially.
           Asynchronously send the matrix to the GPU except the first panel. */
        magma_ssetmatrix_async( m, n-nb,
                                 A(0,nb), lda,
                                dA(0,nb), ldda, queues[0] );
        
        old_i = 0;
        old_ib = nb;
        for (i = 0; i < min_mn-nb; i += nb) {
            ib = min( min_mn-i, nb );
            if (i > 0) {
                /* get i-th panel from device */
                magma_queue_sync( queues[1] );
                magma_sgetmatrix_async( m-i, ib,
                                        dA(i,i), ldda,
                                         A(i,i), lda, queues[0] );
                
                /* Apply H' to A(i:m,i+2*ib:n) from the left */
                magma_slarfb_gpu( MagmaLeft, MagmaConjTrans, MagmaForward, MagmaColumnwise,
                                  m-old_i, n-old_i-2*old_ib, old_ib,
                                  dA(old_i, old_i),          ldda, dT(0,0),  nb,
                                  dA(old_i, old_i+2*old_ib), ldda, dwork(0), lddwork, queues[1] );
                
                magma_sgetmatrix_async( i, ib,
                                        dA(0,i), ldda,
                                         A(0,i), lda, queues[1] );
                magma_queue_sync( queues[0] );
            }
            
            magma_int_t rows = m-i;
            lapackf77_sgeqrf( &rows, &ib, A(i,i), &lda, tau+i, work, &lwork, info );
            
            /* Form the triangular factor of the block reflector
               H = H(i) H(i+1) . . . H(i+ib-1) */
            lapackf77_slarft( MagmaForwardStr, MagmaColumnwiseStr,
                              &rows, &ib, A(i,i), &lda, tau+i, work, &ib );
            
            magma_spanel_to_q( MagmaUpper, ib, A(i,i), lda, work+ib*ib );
            
            /* put i-th V matrix onto device */
            magma_ssetmatrix_async( rows, ib, A(i,i), lda, dA(i,i), ldda, queues[0] );
            
            /* put T matrix onto device */
            magma_queue_sync( queues[1] );
            magma_ssetmatrix_async( ib, ib, work, ib, dT(0,0), nb, queues[0] );
            magma_queue_sync( queues[0] );
            
            if (i + ib < n) {
                if (i+ib < min_mn-nb) {
                    /* Apply H' to A(i:m,i+ib:i+2*ib) from the left (look-ahead) */
                    magma_slarfb_gpu( MagmaLeft, MagmaConjTrans, MagmaForward, MagmaColumnwise,
                                      rows, ib, ib,
                                      dA(i, i   ), ldda, dT(0,0),  nb,
                                      dA(i, i+ib), ldda, dwork(0), lddwork, queues[1] );
                    magma_sq_to_panel( MagmaUpper, ib, A(i,i), lda, work+ib*ib );
                }
                else {
                    /* After last panel, update whole trailing matrix. */
                    /* Apply H' to A(i:m,i+ib:n) from the left */
                    magma_slarfb_gpu( MagmaLeft, MagmaConjTrans, MagmaForward, MagmaColumnwise,
                                      rows, n-i-ib, ib,
                                      dA(i, i   ), ldda, dT(0,0),  nb,
                                      dA(i, i+ib), ldda, dwork(0), lddwork, queues[1] );
                    magma_sq_to_panel( MagmaUpper, ib, A(i,i), lda, work+ib*ib );
                }
                
                old_i  = i;
                old_ib = ib;
            }
        }
    } else {
        i = 0;
    }
    
    /* Use unblocked code to factor the last or only block. */
    if (i < min_mn) {
        ib = n-i;
        if (i != 0) {
            magma_sgetmatrix( m, ib, dA(0,i), ldda, A(0,i), lda, queues[1] );
        }
        magma_int_t rows = m-i;
        lapackf77_sgeqrf( &rows, &ib, A(i,i), &lda, tau+i, work, &lwork, info );
    }
    
    magma_queue_destroy( queues[0] );
    magma_queue_destroy( queues[1] );
    
    magma_free( dA );
    
    return *info;
} /* magma_sgeqrf */