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sbelmm(3P)		    Sun Performance Library		    sbelmm(3P)

NAME
       sbelmm - block Ellpack format matrix-matrix multiply

SYNOPSIS
	SUBROUTINE SBELMM( TRANSA, MB, N, KB, ALPHA, DESCRA,
       *	   VAL, BINDX, BLDA, MAXBNZ, LB,
       *	   B, LDB, BETA, C, LDC, WORK, LWORK )
	INTEGER	   TRANSA, MB, N, KB, DESCRA(5), BLDA, MAXBNZ, LB,
       *	   LDB, LDC, LWORK
	INTEGER	   BINDX(BLDA,MAXBNZ)
	REAL	   ALPHA, BETA
	REAL	   VAL(LB*LB*BLDA*MAXBNZ), B(LDB,*), C(LDC,*), WORK(LWORK)

	SUBROUTINE SBELMM_64( TRANSA, MB, N, KB, ALPHA, DESCRA,
       *	   VAL, BINDX, BLDA, MAXBNZ, LB,
       *	   B, LDB, BETA, C, LDC, WORK, LWORK )
	INTEGER*8  TRANSA, MB, N, KB, DESCRA(5), BLDA, MAXBNZ, LB,
       *	   LDB, LDC, LWORK
	INTEGER*8  BINDX(BLDA,MAXBNZ)
	REAL	   ALPHA, BETA
	REAL	   VAL(LB*LB*BLDA*MAXBNZ), B(LDB,*), C(LDC,*), WORK(LWORK)

   F95 INTERFACE
	SUBROUTINE BELMM( TRANSA, MB, [N], KB, ALPHA, DESCRA, VAL, BINDX,
       *	   BLDA, MAXBNZ, LB, B, [LDB], BETA, C,[LDC], [WORK], [LWORK])
	INTEGER	   TRANSA, MB, KB, BLDA, MAXBNZ, LB
	INTEGER, DIMENSION(:) ::    DESCRA, BINDX
	REAL	ALPHA, BETA
	REAL, DIMENSION(:) :: VAL
	REAL, DIMENSION(:, :) ::  B, C

	SUBROUTINE BELMM_64( TRANSA, MB, [N], KB, ALPHA, DESCRA, VAL, BINDX,
       *	   BLDA, MAXBNZ, LB, B, [LDB], BETA, C,[LDC], [WORK], [LWORK])
	INTEGER*8    TRANSA, MB, KB, BLDA, MAXBNZ, LB
	INTEGER*8, DIMENSION(:) ::    DESCRA, BINDX
	REAL	ALPHA, BETA
	REAL, DIMENSION(:) :: VAL
	REAL, DIMENSION(:, :) ::  B, C

   C INTERFACE
       #include <sunperf.h>

       void sbelmm (const int transa, const int mb, const int n, const int kb,
		 const float alpha, const int* descra, const float* val, const
		 int* bindx, const int blda, const int maxbnz, const int lb,
		 const float* b, const int ldb, const float beta, float* c,
		 const int ldc);

       void sbelmm_64 (const long transa, const long mb, const long n, const
		 long kb, const float alpha, const long* descra, const float*
		 val, const long* bindx, const long blda, const long maxbnz,
		 const long lb, const float* b, const long ldb, const float
		 beta, float* c, const long ldc);

DESCRIPTION
       sbelmm performs one of the matrix-matrix operations

		C <- alpha op(A) B + beta C

       where alpha and beta are scalars, C and B are dense matrices,
       A is an (mb*lb) by (kb*lb) sparse matrix represented in block
       Ellpack format and op( A )  is one  of

       op( A ) = A   or	  op( A ) = A'	 or   op( A ) = conjg( A' ).
					  ( ' indicates matrix transpose)

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.

	MB(input)	On entry,  MB  specifies the number of block 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.

       KB(input)       On entry,  KB specifies the number of block 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 block 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 LB*LB*BLDA-by-MAXBNZ
		       array consisting of the non-zero blocks, stored
		       column-major within each dense block. Unchanged on exit.

       BINDX(input)    On entry, BINDX is an integer two-dimensional BLDA-MAXBNZ
		       array such BINDX(i,:) consists of the block column indices
		       of the nonzero blocks in block row i, padded by the integer
		       value i if the number of nonzero blocks is less than
		       MAXBNZ. Unchanged on exit.

       BLDA(input)     On entry, BLDA specifies the leading dimension of BINDX(:,:).
		       Unchanged on exit.

       MAXBNZ (input)  On entry, MAXBNZ specifies the max number of nonzeros
		       blocks per row. Unchanged on exit.

       LB (input)      On entry, LB specifies the dimension of dense blocks
		       composing A.  Unchanged on exit.

       B (input)       Array of DIMENSION ( LDB, N ).
		       Before entry with  TRANSA = 0,  the leading  kb*lb by n
		       part of the array  B  must contain the matrix  B,  otherwise
		       the leading  mb*lb 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  mb*lb by n
		       part of the array  C  must contain the matrix C,	 otherwise
		       the leading  kb*lb 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 block
       triangles and/or the main block diagonal of A. The full description of
       the feature for block entry formats is given in section NOTES/BUGS for
       the sbcomm manpage.

3rd Berkeley Distribution	  6 Mar 2009			    sbelmm(3P)
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