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/******************************************************************************
* Copyright (c) Intel Corporation - All rights reserved. *
* This file is part of the LIBXSMM library. *
* *
* For information on the license, see the LICENSE file. *
* Further information: https://github.com/hfp/libxsmm/ *
* SPDX-License-Identifier: BSD-3-Clause *
******************************************************************************/
/* Alexander Heinecke (Intel Corp.)
******************************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <libxsmm.h>
int main(int argc, char* argv[]) {
unsigned int N = ( argc > 1 ) ? atoi(argv[1]) : 64;
unsigned int C = ( argc > 2 ) ? atoi(argv[2]) : 512;
unsigned int K = ( argc > 3 ) ? atoi(argv[3]) : 32;
unsigned int nb = ( argc > 4 ) ? atoi(argv[4]) : 32;
double sparse_frac = ( argc > 5 ) ? atof(argv[5]) : 0.9;
unsigned int REPS = ( argc > 6 ) ? atoi(argv[6]) : 1;
const libxsmm_gemm_prefetch_type prefetch = LIBXSMM_GEMM_PREFETCH_NONE;
const int flags = LIBXSMM_GEMM_FLAGS('N', 'N');
const float alpha = 1, beta = 1;
unsigned int* l_colptr = NULL;
unsigned int* l_rowidx = NULL;
float* l_c_de = (float*)libxsmm_aligned_malloc(sizeof(float) * C * K, 64);
float* l_c_sp_csc = NULL;
float* l_a = (float*)libxsmm_aligned_malloc(sizeof(float) * N * C, 64);
float* l_b = (float*)libxsmm_aligned_malloc(sizeof(float) * N * K, 64);
float l_max_error = 0.0;
unsigned int l_k, l_n;
unsigned int l_i, l_j, l_jj;
unsigned int NB = N / nb;
LIBXSMM_VLA_DECL(3, float, l_p_a, l_a, C, nb);
LIBXSMM_VLA_DECL(3, float, l_p_b, l_b, K, nb);
LIBXSMM_VLA_DECL(2, float, l_p_c_de, l_c_de, C);
libxsmm_descriptor_blob l_xgemm_blob;
libxsmm_gemm_descriptor* l_xgemm_desc = 0;
LIBXSMM_MMFUNCTION_TYPE(float) mykernel_csc = NULL;
unsigned long long l_start, l_end;
double l_total;
unsigned int nnz = 0;
if (argc != 7 && argc != 1) {
fprintf( stderr, "arguments failure\n" );
return -1;
}
if ( (N % nb != 0) || (nb > N) ) {
fprintf( stderr, "N needs to be disable by %i\n", nb );
return -1;
}
/* touch A */
for ( l_i = 0; l_i < NB; l_i++) {
for ( l_j = 0; l_j < C; l_j++) {
for ( l_k = 0; l_k < nb; l_k++ ) {
LIBXSMM_VLA_ACCESS(3, l_p_a, l_i, l_j, l_k, C, nb) = (float)libxsmm_rng_f64();
}
}
}
/* touch B */
for ( l_i = 0; l_i < NB; l_i++) {
for ( l_j = 0; l_j < K; l_j++) {
for ( l_k = 0; l_k < nb; l_k++ ) {
LIBXSMM_VLA_ACCESS(3, l_p_b, l_i, l_j, l_k, K, nb) = (float)libxsmm_rng_f64();
}
}
}
/* touch dense C */
for ( l_i = 0; l_i < K; l_i++ ) {
for ( l_j = 0; l_j < C; l_j++ ) {
double tmp = libxsmm_rng_f64();
if ( tmp < sparse_frac ) {
tmp = (double)0;
} else {
nnz++;
}
LIBXSMM_VLA_ACCESS(2, l_p_c_de, l_i, l_j, C) = (float)tmp;
}
}
printf("we just generated a %i x %i matrix with %i NZ entries\n", K, C, nnz);
/* create C, csc */
l_colptr = (unsigned int*) libxsmm_aligned_malloc( (K+1)*sizeof(unsigned int), 64 );
l_rowidx = (unsigned int*) libxsmm_aligned_malloc( nnz*sizeof(unsigned int), 64 );
l_c_sp_csc = (float* ) libxsmm_aligned_malloc( nnz*sizeof(float), 64 );
l_k = 0;
l_colptr[K] = nnz;
for ( l_i = 0; l_i < K; l_i++ ) {
l_colptr[l_i] = l_k;
for ( l_j = 0; l_j < C; l_j++ ) {
if ( LIBXSMM_VLA_ACCESS(2, l_p_c_de, l_i, l_j, C) != 0.0 ) {
l_rowidx[l_k] = l_j;
l_c_sp_csc[l_k] = LIBXSMM_VLA_ACCESS(2, l_p_c_de, l_i, l_j, C);
l_k++;
}
}
}
#if 0
for ( l_i = 0; l_i < K; l_i++) {
for ( l_j = 0; l_j < l_colptr[l_i+1]-l_colptr[l_i]; l_j++ ) {
printf("(%i, %i): %f %f\n", l_i, l_rowidx[l_colptr[l_i]+l_j], LIBXSMM_VLA_ACCESS(2, l_p_c_de, l_i, l_rowidx[l_colptr[l_i]+l_j], C), l_c_sp_csc[l_colptr[l_i]+l_j] );
}
}
#endif
/* dense routine */
l_start = libxsmm_timer_tick();
#if 1
for ( l_n = 0; l_n < REPS; l_n++) {
for ( l_i = 0; l_i < NB; l_i++) {
for ( l_j = 0; l_j < K; l_j++) {
for ( l_jj = 0; l_jj < C; l_jj++) {
LIBXSMM_PRAGMA_SIMD
for (l_k = 0; l_k < nb; l_k++) {
LIBXSMM_VLA_ACCESS(2, l_p_c_de, l_j, l_jj, C)
+= LIBXSMM_VLA_ACCESS(3, l_p_a, l_i, l_jj, l_k, C, nb)
* LIBXSMM_VLA_ACCESS(3, l_p_b, l_i, l_j, l_k, K, nb);
}
}
}
}
}
#endif
l_end = libxsmm_timer_tick();
l_total = libxsmm_timer_duration(l_start, l_end);
printf("%fs for dense\n", l_total);
printf("%f GFLOPS for dense\n", ((double)((double)REPS * (double)N * (double)C * (double)K) * 2.0) / (l_total * 1.0e9));
l_xgemm_desc = libxsmm_gemm_descriptor_dinit(&l_xgemm_blob, LIBXSMM_GEMM_PRECISION(float),
C, K, NB, C, K, 0, alpha, beta, flags, prefetch);
/* sparse routine */
mykernel_csc = libxsmm_create_xcsc_soa(l_xgemm_desc, l_colptr, l_rowidx, (const void*)l_c_sp_csc, nb).smm;
l_start = libxsmm_timer_tick();
for ( l_n = 0; l_n < REPS; l_n++) {
mykernel_csc( l_a, l_b, l_c_sp_csc );
}
l_end = libxsmm_timer_tick();
l_total = libxsmm_timer_duration(l_start, l_end);
printf("%fs for sparse (asm, csc)\n", l_total);
printf("%f GFLOPS for sparse (asm, csc)\n", ((double)((double)REPS * (double)N * (double)C * (double)K) * 2.0) / (l_total * 1.0e9));
/* check for errors */
l_max_error = 0.f;
for ( l_i = 0; l_i < K; l_i++) {
for ( l_j = 0; l_j < l_colptr[l_i+1]-l_colptr[l_i]; l_j++ ) {
#if 0
printf("(%i, %i): %f %f\n", l_i, l_rowidx[l_colptr[l_i]+l_j], LIBXSMM_VLA_ACCESS(2, l_p_c_de, l_i, l_rowidx[l_colptr[l_i]+l_j], C), l_c_sp_csc[l_colptr[l_i]+l_j] );
#endif
if (fabs( LIBXSMM_VLA_ACCESS(2, l_p_c_de, l_i, l_rowidx[l_colptr[l_i]+l_j], C)
- l_c_sp_csc[l_colptr[l_i]+l_j] ) > l_max_error ) {
l_max_error = (float)fabs( LIBXSMM_VLA_ACCESS(2, l_p_c_de, l_i, l_rowidx[l_colptr[l_i]+l_j], C)
- l_c_sp_csc[l_colptr[l_i]+l_j] );
}
}
}
printf("max error (csc): %f\n", l_max_error);
/* free */
libxsmm_free( l_c_de );
libxsmm_free( l_a );
libxsmm_free( l_b );
libxsmm_free( l_c_sp_csc );
libxsmm_free( l_colptr );
libxsmm_free( l_rowidx );
return 0;
}
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