dcoomm(3P) Sun Performance Library dcoomm(3P)NAMEdcoomm - coordinate matrix-matrix multiply
SYNOPSIS
SUBROUTINE DCOOMM( TRANSA, M, N, K, ALPHA, DESCRA,
* VAL, INDX, JNDX, NNZ,
* B, LDB, BETA, C, LDC, WORK, LWORK)
INTEGER TRANSA, M, N, K, DESCRA(5), NNZ
* LDB, LDC, LWORK
INTEGER INDX(NNZ), JNDX(NNZ)
DOUBLE PRECISION ALPHA, BETA
DOUBLE PRECISION VAL(NNZ), B(LDB,*), C(LDC,*), WORK(LWORK)
SUBROUTINE DCOOMM_64( TRANSA, M, N, K, ALPHA, DESCRA,
* VAL, INDX, JNDX, NNZ,
* B, LDB, BETA, C, LDC, WORK, LWORK)
INTEGER*8 TRANSA, M, N, K, DESCRA(5), NNZ
* LDB, LDC, LWORK
INTEGER*8 INDX(NNZ), JNDX(NNZ)
DOUBLE PRECISION ALPHA, BETA
DOUBLE PRECISION VAL(NNZ), B(LDB,*), C(LDC,*), WORK(LWORK)
F95 INTERFACE
SUBROUTINE COOMM( TRANSA, M, [N], K, ALPHA, DESCRA,
* VAL, INDX, JNDX, NNZ, B, [LDB], BETA, C, [LDC],
* [WORK], [LWORK] )
INTEGER TRANSA, M, K, NNZ
INTEGER, DIMENSION(:) :: DESCRA, INDX, JNDX
DOUBLE PRECISION ALPHA, BETA
DOUBLE PRECISION, DIMENSION(:) :: VAL
DOUBLE PRECISION, DIMENSION(:, :) :: B, C
SUBROUTINE COOMM_64( TRANSA, M, [N], K, ALPHA, DESCRA,
* VAL, INDX, JNDX, NNZ, B, [LDB], BETA, C, [LDC],
* [WORK], [LWORK] )
INTEGER*8 TRANSA, M, K, NNZ
INTEGER*8, DIMENSION(:) :: DESCRA, INDX, JNDX
DOUBLE PRECISION ALPHA, BETA
DOUBLE PRECISION, DIMENSION(:) :: VAL
DOUBLE PRECISION, DIMENSION(:, :) :: B, C
C INTERFACE
#include <sunperf.h>
void dcoomm (const int transa, const int m, const int n, const int k,
const double alpha, const int* descra, const double* val,
const int* indx, const int* jndx, const int nnz, const dou‐
ble* b, const int ldb, const double beta, double* c, const
int ldc);
void dcoomm_64 (const long transa, const long m, const long n, const
long k, const double alpha, const long* descra, const double*
val, const long* indx, const long* jndx, const long nnz,
const double* b, const long ldb, const double beta, double*
c, const long ldc);
DESCRIPTIONdcoomm performs one of the matrix-matrix operations
C <- alpha op(A) B + beta C
where op( A ) is one of
op( A ) = A or op( A ) = A' or op( A ) = conjg( A' )
( ' indicates matrix transpose),
A is an M-by-K sparse matrix represented in the coordinate format,
alpha and beta are scalars, C and B are dense matrices.
ARGUMENTSTRANSA(input) On entry, integer TRANSA specifies the form
of op( A ) to be used in the matrix
multiplication as follows:
0 : operate with matrix
1 : operate with transpose matrix
2 : operate with the conjugate transpose of matrix.
2 is equivalent to 1 if matrix is real.
Unchanged on exit.
M(input) On entry, integer M specifies the number of rows in
the matrix A. Unchanged on exit.
N(input) On entry, integer N specifies the number of columns in
the matrix C. Unchanged on exit.
K(input) On entry, integer K specifies the number of columns
in the matrix A. Unchanged on exit.
ALPHA(input) On entry, ALPHA specifies the scalar alpha. Unchanged on exit.
DESCRA (input) Descriptor argument. Five element integer array.
DESCRA(1) matrix structure
0 : general
1 : symmetric (A=A')
2 : Hermitian (A= CONJG(A'))
3 : Triangular
4 : Skew(Anti)-Symmetric (A=-A')
5 : Diagonal
6 : Skew-Hermitian (A= -CONJG(A'))
DESCRA(2) upper/lower triangular indicator
1 : lower
2 : upper
DESCRA(3) main diagonal type
0 : non-unit
1 : unit
DESCRA(4) Array base (NOT IMPLEMENTED)
0 : C/C++ compatible
1 : Fortran compatible
DESCRA(5) repeated indices? (NOT IMPLEMENTED)
0 : unknown
1 : no repeated indices
VAL (input) On entry, VAL is a scalar array array of length
NNZ consisting of the non-zero entries of A,
in any order. Unchanged on exit.
INDX (input) On entry, INDX is an integer array of length NNZ
consisting of the corresponding row indices of
the entries of A. Unchanged on exit.
JNDX (input) On entry, JNDX is an integer array of length NNZ
consisting of the corresponding column indices of
the entries of A. Unchanged on exit.
NNZ (input) On entry, integer NNZ specifies the number of
non-zero elements in A. Unchanged on exit.
B (input) Array of DIMENSION ( LDB, N ).
Before entry with TRANSA = 0, the leading k by n
part of the array B must contain the matrix B, otherwise
the leading m by n part of the array B must contain the
matrix B. Unchanged on exit.
LDB (input) On entry, LDB specifies the first dimension of B as declared
in the calling (sub) program. Unchanged on exit.
BETA (input) On entry, BETA specifies the scalar beta. Unchanged on exit.
C(input/output) Array of DIMENSION ( LDC, N ).
Before entry with TRANSA = 0, the leading m by n
part of the array C must contain the matrix C, otherwise
the leading k by n part of the array C must contain the
matrix C. On exit, the array C is overwritten by the matrix
( alpha*op( A )* B + beta*C ).
LDC (input) On entry, LDC specifies the first dimension of C as declared
in the calling (sub) program. Unchanged on exit.
WORK (is not referenced in the current version)
LWORK (is not referenced in the current version)
SEE ALSO
Libsunperf SPARSE BLAS is fully parallel and compatible with NIST FOR‐
TRAN Sparse Blas but the sources are different. Libsunperf SPARSE BLAS
is free of bugs found in NIST FORTRAN Sparse Blas. Besides several new
features and routines are implemented.
NIST FORTRAN Sparse Blas User's Guide available at:
http://math.nist.gov/mcsd/Staff/KRemington/fspblas/
Based on the standard proposed in
"Document for the Basic Linear Algebra Subprograms (BLAS) Standard",
University of Tennessee, Knoxville, Tennessee, 1996:
http://www.netlib.org/utk/papers/sparse.ps
The routine is designed so that it provides a possibility to use just
one sparse matrix representation of a general matrix A for computing
matrix-matrix multiply for another sparse matrix composed by trian‐
gles and/or the main diagonal of A. The full description of the feature
for point entry formats is given in section NOTES/BUGS for the scoomm
manpage.
3rd Berkeley Distribution 6 Mar 2009 dcoomm(3P)