HPL_pdmatgen man page

HPL_pdmatgen — Parallel random matrix generator.


#include "hpl.h"
 void HPL_pdmatgen( const HPL_T_grid * GRID, const int M, const int N, const int NB, double * A, const int LDA, const int ISEED );


HPL_pdmatgen generates (or regenerates) a parallel random matrix A.
 The  pseudo-random  generator uses the linear congruential algorithm: X(n+1) = (a * X(n) + c) mod m  as  described  in the  Art of Computer Programming, Knuth 1973, Vol. 2.


GRID    (local input)           const HPL_T_grid *

On entry,  GRID  points  to the data structure containing the process grid information.

M       (global input)          const int

On entry,  M  specifies  the number  of rows of the matrix A. M must be at least zero.

N       (global input)          const int

On entry,  N specifies the number of columns of the matrix A. N must be at least zero.

NB      (global input)          const int

On entry,  NB specifies the blocking factor used to partition and distribute the matrix A. NB must be larger than one.

A       (local output)          double *

On entry,  A  points  to an array of dimension (LDA,LocQ(N)). On exit, this array contains the coefficients of the randomly generated matrix.

LDA     (local input)           const int

On entry, LDA specifies the leading dimension of the array A. LDA must be at least max(1,LocP(M)).

ISEED   (global input)          const int

On entry, ISEED  specifies  the  seed  number to generate the matrix A. ISEED must be at least zero.

See Also

HPL_ladd (3), HPL_lmul (3), HPL_setran (3), HPL_xjumpm (3), HPL_jumpit (3), HPL_drand (3).


October 26, 2012 HPL 2.1 HPL Library Functions