cellmm - matrix multiply
SUBROUTINE CELLMM( TRANSA, M, N, K, ALPHA, DESCRA, * VAL, INDX, LDA, MAXNZ, * B, LDB, BETA, C, LDC, WORK, LWORK ) INTEGER TRANSA, M, N, K, DESCRA(5), LDA, MAXNZ, * LDB, LDC, LWORK INTEGER INDX(LDA,MAXNZ) COMPLEX ALPHA, BETA COMPLEX VAL(LDA,MAXNZ), B(LDB,*), C(LDC,*), WORK(LWORK) SUBROUTINE CELLMM_64( TRANSA, M, N, K, ALPHA, DESCRA, * VAL, INDX, LDA, MAXNZ, * B, LDB, BETA, C, LDC, WORK, LWORK ) INTEGER*8 TRANSA, M, N, K, DESCRA(5), LDA, MAXNZ, * LDB, LDC, LWORK INTEGER*8 INDX(LDA,MAXNZ) COMPLEX ALPHA, BETA COMPLEX VAL(LDA,MAXNZ), B(LDB,*), C(LDC,*), WORK(LWORK) F95 INTERFACE SUBROUTINE ELLMM( TRANSA, M, N, K, ALPHA, DESCRA, VAL, INDX, * LDA, MAXNZ, B, LDB, BETA, C, LDC, WORK, LWORK) INTEGER TRANSA, M, K, MAXNZ INTEGER, DIMENSION(:) :: DESCRA INTEGER, DIMENSION(:, :) :: INDX COMPLEX ALPHA, BETA COMPLEX, DIMENSION(:, :) :: VAL, B, C SUBROUTINE ELLMM_64( TRANSA, M, N, K, ALPHA, DESCRA, VAL, INDX, * LDA, MAXNZ, B, LDB, BETA, C, LDC, WORK, LWORK) INTEGER*8 TRANSA, M, K, MAXNZ INTEGER*8, DIMENSION(:) :: DESCRA INTEGER*8, DIMENSION(:, :) :: INDX COMPLEX ALPHA, BETA COMPLEX, DIMENSION(:, :) :: VAL, B, C C INTERFACE #include <sunperf.h> void cellmm (const int transa, const int m, const int n, const int k, const floatcomplex* alpha, const int* descra, const floatcom- plex* val, const int* indx, const int lda, const int maxnz, const floatcomplex* b, const int ldb, const floatcomplex* beta, floatcomplex* c, const int ldc); void cellmm_64 (const long transa, const long m, const long n, const long k, const floatcomplex* alpha, const long* descra, const floatcomplex* val, const long* indx, const long lda, const long maxnz, const floatcomplex* b, const long ldb, const floatcomplex* beta, floatcomplex* c, const long ldc);
Oracle Solaris Studio Performance Library cellmm(3P) NAME cellmm - Ellpack format matrix-matrix multiply SYNOPSIS SUBROUTINE CELLMM( TRANSA, M, N, K, ALPHA, DESCRA, * VAL, INDX, LDA, MAXNZ, * B, LDB, BETA, C, LDC, WORK, LWORK ) INTEGER TRANSA, M, N, K, DESCRA(5), LDA, MAXNZ, * LDB, LDC, LWORK INTEGER INDX(LDA,MAXNZ) COMPLEX ALPHA, BETA COMPLEX VAL(LDA,MAXNZ), B(LDB,*), C(LDC,*), WORK(LWORK) SUBROUTINE CELLMM_64( TRANSA, M, N, K, ALPHA, DESCRA, * VAL, INDX, LDA, MAXNZ, * B, LDB, BETA, C, LDC, WORK, LWORK ) INTEGER*8 TRANSA, M, N, K, DESCRA(5), LDA, MAXNZ, * LDB, LDC, LWORK INTEGER*8 INDX(LDA,MAXNZ) COMPLEX ALPHA, BETA COMPLEX VAL(LDA,MAXNZ), B(LDB,*), C(LDC,*), WORK(LWORK) F95 INTERFACE SUBROUTINE ELLMM( TRANSA, M, N, K, ALPHA, DESCRA, VAL, INDX, * LDA, MAXNZ, B, LDB, BETA, C, LDC, WORK, LWORK) INTEGER TRANSA, M, K, MAXNZ INTEGER, DIMENSION(:) :: DESCRA INTEGER, DIMENSION(:, :) :: INDX COMPLEX ALPHA, BETA COMPLEX, DIMENSION(:, :) :: VAL, B, C SUBROUTINE ELLMM_64( TRANSA, M, N, K, ALPHA, DESCRA, VAL, INDX, * LDA, MAXNZ, B, LDB, BETA, C, LDC, WORK, LWORK) INTEGER*8 TRANSA, M, K, MAXNZ INTEGER*8, DIMENSION(:) :: DESCRA INTEGER*8, DIMENSION(:, :) :: INDX COMPLEX ALPHA, BETA COMPLEX, DIMENSION(:, :) :: VAL, B, C C INTERFACE #include <sunperf.h> void cellmm (const int transa, const int m, const int n, const int k, const floatcomplex* alpha, const int* descra, const floatcom- plex* val, const int* indx, const int lda, const int maxnz, const floatcomplex* b, const int ldb, const floatcomplex* beta, floatcomplex* c, const int ldc); void cellmm_64 (const long transa, const long m, const long n, const long k, const floatcomplex* alpha, const long* descra, const floatcomplex* val, const long* indx, const long lda, const long maxnz, const floatcomplex* b, const long ldb, const floatcomplex* beta, floatcomplex* c, const long ldc); DESCRIPTION cellmm 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 ellpack format, alpha and beta are scalars, C and B are dense matrices. ARGUMENTS TRANSA(input) 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, M specifies the number of rows in the matrix A. Unchanged on exit. N(input) On entry, N specifies the number of columns in the matrix C. Unchanged on exit. K(input) On entry, 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 two-dimensional LDA-by-MAXNZ array such that VAL(I,:) consists of non-zero elements in row I of A, padded by zero values if the row contains less than MAXNZ. Unchanged on exit. INDX(input) On entry, INDX is an integer two-dimensional LDA-by-MAXNZ array such that INDX(I,:) consists of the column indices of the nonzero elements in row I, padded by the integer value I if the number of nonzeros is less than MAXNZ. Unchanged on exit. LDA(input) On entry, LDA specifies the leading dimension of VAL and INDX. Unchanged on exit. MAXNZ(input) On entry, MAXNZ specifies the max number of nonzeros elements per row. 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 in the case of complex matrices is given in section NOTES/BUGS for the ccoomm manpage. 3rd Berkeley Distribution 7 Nov 2015 cellmm(3P)