/* Create macros so that the matrices are stored in column-major order */
#include "parameters.h"
#define A(i,j) a[ (j)*lda + (i) ]
#define B(i,j) b[ (j)*ldb + (i) ]
#define C(i,j) c[ (j)*ldc + (i) ]
#define min( x, y ) ( x < y ? x : y )
#define MB 48
#define KB 48
/* MY_MMult_inner prototype */
void MY_MMult_inner( int m, int n, int k, double *a, int lda,
double *b, int ldb,
double *c, int ldc );
/* Routine for computing C = A * B + C */
void MY_MMult( int m, int n, int k, double *a, int lda,
double *b, int ldb,
double *c, int ldc )
{
int i, p, ib, pb;
for ( p=0; p<k; p+=KB ){
pb = min( k-p, KB );
for ( i=0; i<m; i+=MB ){
ib = min( m-i, MB );
MY_MMult_inner( ib, n, pb,
&A( i, p ), lda,
&B( p, 0 ), ldb,
&C( i, 0 ), ldc );
}
}
}
/* Inner kernel for computing C = A * B + C */
void MY_MMult_inner( int m, int n, int k, double *a, int lda,
double *b, int ldb,
double *c, int ldc )
{
int i, j, p;
for ( j=0; j<n; j++ ){
double *cp = &C( 0, j );
for ( i=0; i<m; i+=4 ){
register double c0=0.0, c1=0.0, c2=0.0, c3=0.0;
double *ap = &A(i,0), *bp=&B(0,j);
for ( p=0; p<k; p++ ){
register double bpj = *bp;
c0 = c0 + ap[0] * bpj;
c1 = c1 + ap[1] * bpj;
c2 = c2 + ap[2] * bpj;
c3 = c3 + ap[3] * bpj;
bp++;
ap+=lda;
}
cp[ 0 ] += c0;
cp[ 1 ] += c1;
cp[ 2 ] += c2;
cp[ 3 ] += c3;
cp += 4;
}
}
}
LinearAlgebraWiki: OptimizingGemm/Details/MMult7 (last edited 2009-11-02 13:39:03 by RobertVanDeGeijn)