MAGMA  1.5.0
Matrix Algebra for GPU and Multicore Architectures
 All Functions Groups

Functions

magma_int_t magma_dailu_csr_a (magma_d_sparse_matrix A, magma_d_sparse_matrix L, magma_d_sparse_matrix U)
 This routine computes the ILU approximation of a matrix iteratively. More...
 
magma_int_t magma_dailu_csr_s (magma_d_sparse_matrix A_L, magma_d_sparse_matrix A_U, magma_d_sparse_matrix L, magma_d_sparse_matrix U)
 This routine computes the ILU approximation of a matrix iteratively. More...
 
magma_int_t magma_dbajac_csr (magma_int_t localiters, magma_d_sparse_matrix D, magma_d_sparse_matrix R, magma_d_vector b, magma_d_vector *x)
 This routine is a block-asynchronous Jacobi iteration performing s local Jacobi-updates within the block. More...
 
magma_int_t magma_dbcsrvalcpy (magma_int_t size_b, magma_int_t num_blocks, magma_int_t num_zblocks, double **Aval, double **Bval, double **Bval2)
 For a Block-CSR ILU factorization, this routine copies the filled blocks from the original matrix A and initializes the blocks that will later be filled in the factorization process with zeros. More...
 
magma_int_t magma_dbcsrluegemm (magma_int_t size_b, magma_int_t num_brows, magma_int_t kblocks, double **dA, double **dB, double **dC)
 For a Block-CSR ILU factorization, this routine updates all blocks in the trailing matrix. More...
 
magma_int_t magma_dbcsrlupivloc (magma_int_t size_b, magma_int_t kblocks, double **dA, magma_int_t *ipiv)
 For a Block-CSR ILU factorization, this routine updates all blocks in the trailing matrix. More...
 
magma_int_t magma_dbcsrswp (magma_int_t r_blocks, magma_int_t size_b, magma_int_t *ipiv, double *x)
 For a Block-CSR ILU factorization, this routine swaps rows in the vector *x according to the pivoting in *ipiv. More...
 
magma_int_t magma_dbcsrtrsv (magma_uplo_t uplo, magma_int_t r_blocks, magma_int_t c_blocks, magma_int_t size_b, double *A, magma_index_t *blockinfo, double *x)
 For a Block-CSR ILU factorization, this routine performs the triangular solves. More...
 
void magma_dcompact (magma_int_t m, magma_int_t n, double *dA, magma_int_t ldda, double *dnorms, double tol, magma_index_t *active, magma_index_t *cBlock)
 ZCOMPACT takes a set of n vectors of size m (in dA) and their norms and compacts them into the cBlock size<=n vectors that have norms > tol. More...
 
magma_int_t magma_djacobisetup_vector_gpu (int num_rows, double *b, double *d, double *c)
 Prepares the Jacobi Iteration according to x^(k+1) = D^(-1) * b - D^(-1) * (L+U) * x^k x^(k+1) = c - M * x^k. More...
 
magma_int_t magma_dlobpcg_maxpy (magma_int_t num_rows, magma_int_t num_vecs, double *X, double *Y)
 This routine computes a axpy for a mxn matrix: More...
 
int magma_dbicgmerge1 (int n, double *skp, double *v, double *r, double *p)
 Mergels multiple operations into one kernel: More...
 
int magma_dbicgmerge2 (int n, double *skp, double *r, double *v, double *s)
 Mergels multiple operations into one kernel: More...
 
int magma_dbicgmerge3 (int n, double *skp, double *p, double *s, double *t, double *x, double *r)
 Mergels multiple operations into one kernel: More...
 
int magma_dbicgmerge4 (int type, double *skp)
 Performs some parameter operations for the BiCGSTAB with scalars on GPU. More...
 
magma_int_t magma_dbicgmerge_spmv1 (magma_d_sparse_matrix A, double *d1, double *d2, double *d_p, double *d_r, double *d_v, double *skp)
 Merges the first SpmV using CSR with the dot product and the computation of alpha. More...
 
magma_int_t magma_dbicgmerge_spmv2 (magma_d_sparse_matrix A, double *d1, double *d2, double *d_s, double *d_t, double *skp)
 Merges the second SpmV using CSR with the dot product and the computation of omega. More...
 
magma_int_t magma_dbicgmerge_xrbeta (int n, double *d1, double *d2, double *rr, double *r, double *p, double *s, double *t, double *x, double *skp)
 Merges the second SpmV using CSR with the dot product and the computation of omega. More...
 

Detailed Description

Function Documentation

magma_int_t magma_dailu_csr_a ( magma_d_sparse_matrix  A,
magma_d_sparse_matrix  L,
magma_d_sparse_matrix  U 
)

This routine computes the ILU approximation of a matrix iteratively.

The idea is according to Edmond Chow's presentation at SIAM 2014. The input format of the matrix is Magma_CSRCOO for the upper and lower triangular parts. Note however, that we flip col and rowidx for the U-part. Every component of L and U is handled by one thread.

Parameters
A_Lmagma_d_sparse_matrix input matrix L
A_Umagma_d_sparse_matrix input matrix U
Lmagma_d_sparse_matrix input/output matrix L containing the ILU approximation
Umagma_d_sparse_matrix input/output matrix U containing the ILU approximation
magma_int_t magma_dailu_csr_s ( magma_d_sparse_matrix  A_L,
magma_d_sparse_matrix  A_U,
magma_d_sparse_matrix  L,
magma_d_sparse_matrix  U 
)

This routine computes the ILU approximation of a matrix iteratively.

The idea is according to Edmond Chow's presentation at SIAM 2014. The input format of the matrix is Magma_CSRCOO for the upper and lower triangular parts. Note however, that we flip col and rowidx for the U-part. Every component of L and U is handled by one thread.

Parameters
A_Lmagma_d_sparse_matrix input matrix L
A_Umagma_d_sparse_matrix input matrix U
Lmagma_d_sparse_matrix input/output matrix L containing the ILU approximation
Umagma_d_sparse_matrix input/output matrix U containing the ILU approximation
magma_int_t magma_dbajac_csr ( magma_int_t  localiters,
magma_d_sparse_matrix  D,
magma_d_sparse_matrix  R,
magma_d_vector  b,
magma_d_vector *  x 
)

This routine is a block-asynchronous Jacobi iteration performing s local Jacobi-updates within the block.

Input format is two CSR matrices, one containing the diagonal blocks, one containing the rest.

Parameters
localitersmagma_int_t number of local Jacobi-like updates
Dmagma_d_sparse_matrix input matrix with diagonal blocks
Rmagma_d_sparse_matrix input matrix with non-diagonal parts
bmagma_d_vector RHS
xmagma_d_vector* iterate/solution
magma_int_t magma_dbcsrluegemm ( magma_int_t  size_b,
magma_int_t  num_brows,
magma_int_t  kblocks,
double **  dA,
double **  dB,
double **  dC 
)

For a Block-CSR ILU factorization, this routine updates all blocks in the trailing matrix.

Parameters
size_bmagma_int_t blocksize in BCSR
num_browsmagma_int_t number of block rows
kblocksmagma_int_t number of blocks in row
dAdouble** input blocks of matrix A
dBdouble** input blocks of matrix B
dCdouble** output blocks of matrix C
magma_int_t magma_dbcsrlupivloc ( magma_int_t  size_b,
magma_int_t  kblocks,
double **  dA,
magma_int_t *  ipiv 
)

For a Block-CSR ILU factorization, this routine updates all blocks in the trailing matrix.

Parameters
size_bmagma_int_t blocksize in BCSR
kblocksmagma_int_t number of blocks
dAdouble** matrix in BCSR
ipivmagma_int_t* array containing pivots
magma_int_t magma_dbcsrswp ( magma_int_t  r_blocks,
magma_int_t  size_b,
magma_int_t *  ipiv,
double *  x 
)

For a Block-CSR ILU factorization, this routine swaps rows in the vector *x according to the pivoting in *ipiv.

Parameters
r_blocksmagma_int_t number of blocks
size_bmagma_int_t blocksize in BCSR
ipivmagma_int_t* array containing pivots
xdouble* input/output vector x
magma_int_t magma_dbcsrtrsv ( magma_uplo_t  uplo,
magma_int_t  r_blocks,
magma_int_t  c_blocks,
magma_int_t  size_b,
double *  A,
magma_index_t *  blockinfo,
double *  x 
)

For a Block-CSR ILU factorization, this routine performs the triangular solves.

Parameters
uplomagma_uplo_t upper/lower fill structure
r_blocksmagma_int_t number of blocks in row
c_blocksmagma_int_t number of blocks in column
size_bmagma_int_t blocksize in BCSR
Adouble* upper/lower factor
blockinfomagma_int_t* array containing matrix information
xdouble* input/output vector x
magma_int_t magma_dbcsrvalcpy ( magma_int_t  size_b,
magma_int_t  num_blocks,
magma_int_t  num_zblocks,
double **  Aval,
double **  Bval,
double **  Bval2 
)

For a Block-CSR ILU factorization, this routine copies the filled blocks from the original matrix A and initializes the blocks that will later be filled in the factorization process with zeros.

Parameters
size_bmagma_int_t blocksize in BCSR
num_blocksmagma_int_t number of nonzero blocks
num_zblocksmagma_int_t number of zero-blocks (will later be filled)
Avaldouble** pointers to the nonzero blocks in A
Bvaldouble** pointers to the nonzero blocks in B
Bval2double** pointers to the zero blocks in B
int magma_dbicgmerge1 ( int  n,
double *  skp,
double *  v,
double *  r,
double *  p 
)

Mergels multiple operations into one kernel:

p = beta*p p = p-omega*beta*v p = p+r

-> p = r + beta * ( p - omega * v )

Parameters
nint dimension n
skpdouble* set of scalar parameters
vdouble* input v
rdouble* input r
pdouble* input/output p
int magma_dbicgmerge2 ( int  n,
double *  skp,
double *  r,
double *  v,
double *  s 
)

Mergels multiple operations into one kernel:

s=r s=s-alpha*v

-> s = r - alpha * v

Parameters
nint dimension n
skpdouble* set of scalar parameters
rdouble* input r
vdouble* input v
sdouble* input/output s
int magma_dbicgmerge3 ( int  n,
double *  skp,
double *  p,
double *  s,
double *  t,
double *  x,
double *  r 
)

Mergels multiple operations into one kernel:

x=x+alpha*p x=x+omega*s r=s r=r-omega*t

-> x = x + alpha * p + omega * s -> r = s - omega * t

Parameters
nint dimension n
skpdouble* set of scalar parameters
pdouble* input p
sdouble* input s
tdouble* input t
xdouble* input/output x
rdouble* input/output r
int magma_dbicgmerge4 ( int  type,
double *  skp 
)

Performs some parameter operations for the BiCGSTAB with scalars on GPU.

Parameters
typeint kernel type
skpdouble* vector with parameters
magma_int_t magma_dbicgmerge_spmv1 ( magma_d_sparse_matrix  A,
double *  d1,
double *  d2,
double *  d_p,
double *  d_r,
double *  d_v,
double *  skp 
)

Merges the first SpmV using CSR with the dot product and the computation of alpha.

Parameters
Amagma_d_sparse_matrix system matrix
d1double* temporary vector
d2double* temporary vector
d_pdouble* input vector p
d_rdouble* input vector r
d_vdouble* output vector v
skpdouble* array for parameters ( skp[0]=alpha )
magma_int_t magma_dbicgmerge_spmv2 ( magma_d_sparse_matrix  A,
double *  d1,
double *  d2,
double *  d_s,
double *  d_t,
double *  skp 
)

Merges the second SpmV using CSR with the dot product and the computation of omega.

Parameters
Amagma_d_sparse_matrix input matrix
d1double* temporary vector
d2double* temporary vector
d_sdouble* input vector s
d_tdouble* output vector t
skpdouble* array for parameters
magma_int_t magma_dbicgmerge_xrbeta ( int  n,
double *  d1,
double *  d2,
double *  rr,
double *  r,
double *  p,
double *  s,
double *  t,
double *  x,
double *  skp 
)

Merges the second SpmV using CSR with the dot product and the computation of omega.

Parameters
nint dimension n
d1double* temporary vector
d2double* temporary vector
rrdouble* input vector rr
rdouble* input/output vector r
pdouble* input vector p
sdouble* input vector s
tdouble* input vector t
xdouble* output vector x
skpdouble* array for parameters
void magma_dcompact ( magma_int_t  m,
magma_int_t  n,
double *  dA,
magma_int_t  ldda,
double *  dnorms,
double  tol,
magma_index_t *  active,
magma_index_t *  cBlock 
)

ZCOMPACT takes a set of n vectors of size m (in dA) and their norms and compacts them into the cBlock size<=n vectors that have norms > tol.

The active mask array has 1 or 0, showing if a vector remained or not in the compacted resulting set of vectors.

Parameters
[in]mINTEGER The number of rows of the matrix dA. M >= 0.
[in]nINTEGER The number of columns of the matrix dA. N >= 0.
[in,out]dACOMPLEX DOUBLE PRECISION array, dimension (LDDA,N) The m by n matrix dA.
[in]lddaINTEGER The leading dimension of the array dA. LDDA >= max(1,M).
[in]dnormsDOUBLE PRECISION array, dimension N The norms of the N vectors in dA
[in]tolDOUBLE PRECISON The tolerance value used in the criteria to compact or not.
[out]activeINTEGER array, dimension N A mask of 1s and 0s showing if a vector remains or has been removed
[out]cBlockmagma_index_t* The number of vectors that remain in dA (i.e., with norms > tol).
magma_int_t magma_djacobisetup_vector_gpu ( int  num_rows,
double *  b,
double *  d,
double *  c 
)

Prepares the Jacobi Iteration according to x^(k+1) = D^(-1) * b - D^(-1) * (L+U) * x^k x^(k+1) = c - M * x^k.

Returns the vector c. It calls a GPU kernel

Parameters
num_rowsmagma_int_t number of rows
bmagma_d_vector RHS b
dmagma_d_vector vector with diagonal entries
cmagma_d_vector* c = D^(-1) * b
magma_int_t magma_dlobpcg_maxpy ( magma_int_t  num_rows,
magma_int_t  num_vecs,
double *  X,
double *  Y 
)

This routine computes a axpy for a mxn matrix:

Y = X + Y

It replaces: magma_daxpy(m*n, c_one, Y, 1, X, 1);

/ x1[0] x2[0] x3[0] \
| x1[1] x2[1] x3[1] |

X = | x1[2] x2[2] x3[2] | = x1[0] x1[1] x1[2] x1[3] x1[4] x2[0] x2[1] . | x1[3] x2[3] x3[3] | \ x1[4] x2[4] x3[4] /

Parameters
num_rowsmagma_int_t number of rows
num_vecsmagma_int_t number of vectors
Xdouble* input vector X
Ydouble* input/output vector Y