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djadmm(3P)		    Sun Performance Library		    djadmm(3P)

NAME
       djadmm - Jagged diagonal matrix-matrix multiply (modified Ellpack)

SYNOPSIS
	SUBROUTINE DJADMM( TRANSA, M, N, K, ALPHA, DESCRA,
       *	   VAL, INDX, PNTR, MAXNZ, IPERM,
       *	   B, LDB, BETA, C, LDC, WORK, LWORK)
	INTEGER	   TRANSA, M, N, K, DESCRA(5), MAXNZ,
       *	   LDB, LDC, LWORK
	INTEGER	   INDX(NNZ), PNTR(MAXNZ+1), IPERM(M)
	DOUBLE PRECISION ALPHA, BETA
	DOUBLE PRECISION VAL(NNZ), B(LDB,*), C(LDC,*), WORK(LWORK)

	SUBROUTINE DJADMM_64( TRANSA, M, N, K, ALPHA, DESCRA,
       *	   VAL, INDX, PNTR, MAXNZ, IPERM,
       *	   B, LDB, BETA, C, LDC, WORK, LWORK)
	INTEGER*8  TRANSA, M, N, K, DESCRA(5), MAXNZ,
       *	   LDB, LDC, LWORK
	INTEGER*8  INDX(NNZ), PNTR(MAXNZ+1), IPERM(M)
	DOUBLE PRECISION ALPHA, BETA
	DOUBLE PRECISION VAL(NNZ), B(LDB,*), C(LDC,*), WORK(LWORK)

       where NNZ=PNTR(MAXNZ+1)-PNTR(1)+1 is the number of non-zero elements.

   F95 INTERFACE
	SUBROUTINE JADMM( TRANSA, M, [N], K, ALPHA, DESCRA, VAL, INDX,
       *    PNTR, MAXNZ, IPERM, B, [LDB], BETA, C, [LDC], [WORK], [LWORK])
	INTEGER	   TRANSA, M, K, MAXNZ
	INTEGER, DIMENSION(:) ::  DESCRA, INDX, PNTR, IPERM
	DOUBLE PRECISION    ALPHA, BETA
	DOUBLE PRECISION, DIMENSION(:) ::  VAL
	DOUBLE PRECISION, DIMENSION(:, :) ::  B, C

	SUBROUTINE JADMM_64( TRANSA, M, [N], K, ALPHA, DESCRA, VAL, INDX,
       *    PNTR, MAXNZ, IPERM, B, [LDB], BETA, C, [LDC], [WORK], [LWORK])
	INTEGER*8     TRANSA, M, K, MAXNZ
	INTEGER*8, DIMENSION(:) ::  DESCRA, INDX, PNTR, IPERM
	DOUBLE PRECISION    ALPHA, BETA
	DOUBLE PRECISION, DIMENSION(:) ::  VAL
	DOUBLE PRECISION, DIMENSION(:, :) ::  B, C

   C INTERFACE
       #include <sunperf.h>

       void djadmm (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* pntr, const int maxnz, const int*
		 iperm, const double* b, const int ldb, const double beta,
		 double* c, const int ldc);

       void djadmm_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* pntr, const long maxnz,
		 const long* iperm, const double* b, const long ldb, const
		 double beta, double* c, const long ldc);

DESCRIPTION
       djadmm 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 jagged diagonal 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 scalar array of length
		       NNZ=PNTR(MAXNZ+1)-PNTR(1)+1 consisting of entries of A.
		       VAL can be viewed as a column major ordering of a
		       row permutation of the Ellpack representation of A,
		       where the Ellpack representation is permuted so that
		       the rows are non-increasing in the number of nonzero
		       entries.	 Values added for padding in Ellpack are
		       not included in the Jagged-Diagonal format.
		       Unchanged on exit.

       INDX(input)     On entry, INDX  is an integer array of length
		       NNZ=PNTR(MAXNZ+1)-PNTR(1)+1 consisting of the column
		       indices of the corresponding entries in VAL.
		       Unchanged on exit.

       PNTR(input)     On entry, PNTR is an integer  array of length
		       MAXNZ+1, where PNTR(I)-PNTR(1)+1 points to
		       the location in VAL of the first element
		       in the row-permuted Ellpack represenation of A.
		       Unchanged on exit.

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

       IPERM(input)    On entry, IPERM is an integer array of length M
		       such that I = IPERM(I'),	 where row I in the
		       original Ellpack representation corresponds
		       to row I' in the permuted representation.
		       If IPERM(1) = 0, it is assumed by convention that
		       IPERM(I) = I. IPERM is used to determine the order
		       in which rows of C are updated. 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

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