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