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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 *
******************************************************************************/
/* Xing Liu (Intel Corp.)
******************************************************************************/
#include <libxsmm.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
void BlockSpMatStep1(int K, int C, int KB, int CB, unsigned int *colptr,
unsigned int *rowidx, unsigned int *b_colptr[],
int *nnzb) {
int num_blocks = K / KB * C / CB;
int blk_idx, i, k;
for (blk_idx = 0; blk_idx < num_blocks; ++blk_idx) {
nnzb[blk_idx] = 0;
for (i = 0; i <= KB; ++i) {
b_colptr[blk_idx][i] = 0;
}
}
for (k = 0; k < K; ++k) {
int k_blk_idx = k / KB;
int k_blk_offset = k % KB;
unsigned colstart = colptr[k];
unsigned colend = colptr[k + 1];
for (i = colstart; i < colend; ++i) {
int c = rowidx[i];
int c_blk_idx = c / CB;
int blk_idx = k_blk_idx * C / CB + c_blk_idx;
nnzb[blk_idx]++;
b_colptr[blk_idx][k_blk_offset + 1]++;
}
}
for (blk_idx = 0; blk_idx < num_blocks; ++blk_idx) {
for (i = 0; i < KB; ++i) {
b_colptr[blk_idx][i + 1] += b_colptr[blk_idx][i];
}
}
}
void BlockSpMatStep2(int K, int C, int KB, int CB, unsigned int *colptr,
unsigned int *rowidx, float *values,
unsigned int *b_colptr[], unsigned int *b_rowidx[],
float *b_values[]) {
int num_blocks = K / KB * C / CB;
int blk_idx, k, i;
for (k = 0; k < K; ++k) {
int k_blk_idx = k / KB;
int k_blk_offset = k % KB;
unsigned colstart = colptr[k];
unsigned colend = colptr[k + 1];
for (i = colstart; i < colend; ++i) {
int c = rowidx[i];
int c_blk_idx = c / CB;
int c_blk_offset = c % CB;
int blk_idx = k_blk_idx * C / CB + c_blk_idx;
b_rowidx[blk_idx][b_colptr[blk_idx][k_blk_offset]] = c_blk_offset;
b_values[blk_idx][b_colptr[blk_idx][k_blk_offset]] = values[i];
b_colptr[blk_idx][k_blk_offset]++;
}
}
for (blk_idx = 0; blk_idx < num_blocks; ++blk_idx) {
for (i = KB; i > 0; --i) {
b_colptr[blk_idx][i] = b_colptr[blk_idx][i - 1];
}
b_colptr[blk_idx][0] = 0;
}
}
int main(int argc, char **argv) {
int N = (argc > 1) ? atoi(argv[1]) : 2048;
int C = (argc > 2) ? atoi(argv[2]) : 512;
int K = (argc > 3) ? atoi(argv[3]) : 512;
int NB = (argc > 4) ? atoi(argv[4]) : 32;
int CB = (argc > 5) ? atoi(argv[5]) : 32;
int KB = (argc > 6) ? atoi(argv[6]) : 32;
int nb = (argc > 7) ? atoi(argv[7]) : 16;
double sparse_frac = (argc > 8) ? atof(argv[8]) : 0.90;
unsigned int REPS = (argc > 9) ? atoi(argv[9]) : 10;
if (N < NB ||
K < KB ||
C < CB ||
NB < nb ||
C % CB != 0 ||
N % NB != 0 ||
nb % 16 != 0 ||
NB % nb != 0 ||
sparse_frac <= 0.0 ||
sparse_frac >= 1.0 ||
REPS <= 0) {
return -1;
}
int l_n, l_c, l_nn, l_cc, l_nnn, l_k, l_kk, blk_idx;
int i, k, n, c;
libxsmm_gemm_prefetch_type prefetch = LIBXSMM_GEMM_PREFETCH_NONE;
int flags = LIBXSMM_GEMM_FLAGS('N', 'N');
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_C_gold =
(float *)libxsmm_aligned_malloc(sizeof(float) * C * K, 64);
LIBXSMM_VLA_DECL(5, float, l_p_A, l_A, C / CB, NB / nb, CB, nb);
LIBXSMM_VLA_DECL(5, float, l_p_B, l_B, K / KB, NB / nb, KB, nb);
/* touch A */
for (l_n = 0; l_n < N / NB; ++l_n) {
for (l_c = 0; l_c < C / CB; ++l_c) {
for (l_nn = 0; l_nn < NB / nb; ++l_nn) {
for (l_cc = 0; l_cc < CB; ++l_cc) {
for (l_nnn = 0; l_nnn < nb; ++l_nnn) {
LIBXSMM_VLA_ACCESS(5, l_p_A, l_n, l_c, l_nn, l_cc,
l_nnn, C / CB, NB / nb, CB, nb) =
(float)libxsmm_rng_f64();
}
}
}
}
}
/* touch B */
for (l_n = 0; l_n < N / NB; ++l_n) {
for (l_k = 0; l_k < K / KB; ++l_k) {
for (l_nn = 0; l_nn < NB / nb; ++l_nn) {
for (l_kk = 0; l_kk < KB; ++l_kk) {
for (l_nnn = 0; l_nnn < nb; ++l_nnn) {
LIBXSMM_VLA_ACCESS(5, l_p_B, l_n, l_k, l_nn, l_kk,
l_nnn, K / KB, NB / nb, KB, nb) =
(float)libxsmm_rng_f64();
}
}
}
}
}
/* touch C */
for (k = 0; k < K; ++k) {
for (c = 0; c < C; ++c) {
l_C_gold[k * C + c] = 0.0f;
}
}
/* init sparse C */
int nnz = 0;
unsigned int *colptr = (unsigned int *)libxsmm_aligned_malloc(
(K + 1) * sizeof(unsigned int), 64);
colptr[0] = 0;
for (l_k = 0; l_k < K; l_k++) {
colptr[l_k + 1] = 0;
for (l_c = 0; l_c < C; l_c++) {
double tmp = libxsmm_rng_f64();
if (tmp < sparse_frac) {
tmp = 0.0;
} else {
nnz++;
colptr[l_k + 1]++;
l_C_gold[l_k * C + l_c] = tmp;
}
}
}
for (l_k = 0; l_k < K; l_k++) {
colptr[l_k + 1] += colptr[l_k];
}
unsigned int *rowidx =
(unsigned int *)libxsmm_aligned_malloc(nnz * sizeof(unsigned int), 64);
float *values = (float *)libxsmm_aligned_malloc(nnz * sizeof(float), 64);
for (l_k = 0; l_k < K; l_k++) {
int offset = colptr[l_k];
for (l_c = 0; l_c < C; l_c++) {
if (l_C_gold[l_k * C + l_c] != 0) {
rowidx[offset] = l_c;
values[offset] = l_C_gold[l_k * C + l_c];
offset++;
}
}
}
unsigned num_k_blocks = K / KB;
unsigned num_c_blocks = C / CB;
int num_blocks = num_k_blocks * num_c_blocks;
unsigned int **c_colptr = (unsigned int **)libxsmm_aligned_malloc(
num_blocks * sizeof(unsigned int *), 64);
unsigned int **c_rowidx = (unsigned int **)libxsmm_aligned_malloc(
num_blocks * sizeof(unsigned int *), 64);
float **c_values =
(float **)libxsmm_aligned_malloc(num_blocks * sizeof(float *), 64);
int *nnzb = (int *)libxsmm_aligned_malloc(num_blocks * sizeof(int), 64);
for (blk_idx = 0; blk_idx < num_blocks; ++blk_idx) {
c_colptr[blk_idx] = (unsigned int *)libxsmm_aligned_malloc(
(KB + 1) * sizeof(unsigned int), 64);
}
BlockSpMatStep1(K, C, KB, CB, colptr, rowidx, c_colptr, nnzb);
for (blk_idx = 0; blk_idx < num_blocks; ++blk_idx) {
c_rowidx[blk_idx] = (unsigned int *)libxsmm_aligned_malloc(
nnzb[blk_idx] * sizeof(unsigned int), 64);
c_values[blk_idx] =
(float *)libxsmm_aligned_malloc(nnzb[blk_idx] * sizeof(float), 64);
}
BlockSpMatStep2(K, C, KB, CB, colptr, rowidx, values, c_colptr, c_rowidx,
c_values);
/* dense routine */
for (l_n = 0; l_n < N / NB; ++l_n) {
for (l_k = 0; l_k < K / KB; ++l_k) {
for (l_c = 0; l_c < C / CB; ++l_c) {
for (l_nn = 0; l_nn < NB / nb; ++l_nn) {
for (l_kk = 0; l_kk < KB; ++l_kk) {
int k = l_k * KB + l_kk;
for (l_cc = 0; l_cc < CB; ++l_cc) {
int c = l_c * CB + l_cc;
for (l_nnn = 0; l_nnn < nb; ++l_nnn) {
l_C_gold[k * C + c] +=
LIBXSMM_VLA_ACCESS(5, l_p_A, l_n, l_c, l_nn, l_cc, l_nnn,
C / CB, NB / nb, CB, nb) *
LIBXSMM_VLA_ACCESS(5, l_p_B, l_n, l_k, l_nn, l_kk, l_nnn,
K / KB, NB / nb, KB, nb);
}
}
}
}
}
}
}
/* UPD */
float alpha = 1.0;
float beta = 1.0;
libxsmm_descriptor_blob l_xgemm_blob;
libxsmm_gemm_descriptor **l_xgemm_desc =
(libxsmm_gemm_descriptor **)libxsmm_aligned_malloc(
num_blocks * sizeof(libxsmm_gemm_descriptor *), 64);
libxsmm_smmfunction *mykernel =
(libxsmm_smmfunction *)libxsmm_aligned_malloc(
num_blocks * sizeof(libxsmm_smmfunction), 64);
for (blk_idx = 0; blk_idx < num_blocks; ++blk_idx) {
l_xgemm_desc[blk_idx] = libxsmm_gemm_descriptor_dinit(
&l_xgemm_blob, LIBXSMM_GEMM_PRECISION(float), CB, KB, NB / nb, CB,
KB, 0, alpha, beta, flags, prefetch);
mykernel[blk_idx] =
libxsmm_create_xcsc_soa(l_xgemm_desc[blk_idx], c_colptr[blk_idx],
c_rowidx[blk_idx],
(const void *)c_values[blk_idx], nb).smm;
}
#ifdef _OPENMP
# pragma omp parallel for LIBXSMM_OPENMP_COLLAPSE(2) private(k,n,c)
#endif
for (k = 0; k < K / KB; ++k) {
for (c = 0; c < C / CB; ++c) {
for (n = 0; n < N / NB; ++n) {
if (c_values[k * C/CB + c] != NULL) {
mykernel[k * C / CB + c](&(l_A[(n * C / CB + c) * CB * NB]),
&(l_B[(n * K / KB + k) * KB * NB]),
c_values[k * C / CB + c]);
}
}
}
}
/* check error */
float l_max_error = 0.0f;
for (l_k = 0; l_k < K/KB; ++l_k) {
for (l_c = 0; l_c < C/CB; ++l_c) {
int blk_idx = l_k * C/CB + l_c;
for (l_kk = 0; l_kk < KB; ++l_kk) {
int colstart = c_colptr[blk_idx][l_kk];
int colend = c_colptr[blk_idx][l_kk + 1];
k = l_k * KB + l_kk;
for (i = colstart; i < colend; ++i) {
l_cc = c_rowidx[blk_idx][i];
c = l_c * CB + l_cc;
float v = c_values[blk_idx][i];
if ( fabs(v - l_C_gold[k * C + c]) > l_max_error ) {
l_max_error = (float)fabs(v - l_C_gold[k * C + c]);
}
}
}
}
}
/* check performace */
unsigned long long l_start = libxsmm_timer_tick();
for (i = 0; i < REPS; ++i) {
#ifdef _OPENMP
# pragma omp parallel for LIBXSMM_OPENMP_COLLAPSE(2) private(k,n,c)
#endif
for (k = 0; k < K / KB; ++k) {
for (c = 0; c < C / CB; ++c) {
for (n = 0; n < N / NB; ++n) {
if (c_values[k * C/CB + c] != NULL) {
mykernel[k * C / CB + c](&(l_A[(n * C / CB + c) * CB * NB]),
&(l_B[(n * K / KB + k) * KB * NB]),
c_values[k * C / CB + c]);
}
}
}
}
}
unsigned long long l_end = libxsmm_timer_tick();
double l_total = libxsmm_timer_duration(l_start, l_end);
printf("%fs for sparse (asm)\n", l_total);
printf("%f GFLOPS for sparse (asm)\n",
((double)((double)REPS * (double)N * (double)C * (double)K) * 2.0) /
(l_total * 1.0e9));
fflush(stdout);
/* clean up */
libxsmm_free(l_A);
libxsmm_free(l_B);
libxsmm_free(l_C_gold);
for (blk_idx = 0; blk_idx < num_blocks; ++blk_idx) {
libxsmm_free(c_values[blk_idx]);
libxsmm_free(c_colptr[blk_idx]);
libxsmm_free(c_rowidx[blk_idx]);
}
libxsmm_free(c_values);
libxsmm_free(c_colptr);
libxsmm_free(c_rowidx);
return 0;
}
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