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406 lines (374 loc) · 12.3 KB
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/*
* Copyright (c) 2015, 2016, 2017, 2018, 2019, Intel Corporation
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the
* distribution.
*
* * Neither the name of Intel Corporation nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY LOG OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <stdlib.h>
#include <stdio.h>
#include <time.h>
#include <math.h>
#include <stdint.h>
#include <mpi.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "geopm.h"
#include "tutorial_region.h"
#ifdef TUTORIAL_ENABLE_MKL
#include "mkl.h"
#else
// Terrible DGEMM implementation should only be used if there is no
// BLAS support. Build assumes that the Intel(R) Math Kernel Library
// is the only provider of BLAS.
static inline
void dgemm(const char *transa, const char *transb, const int *M,
const int *N, const int *K, const double *alpha,
const double *A, const int *LDA, const double *B,
const int *LDB, const double *beta, double *C, const int *LDC)
{
#pragma omp parallel for
for (int i = 0; i < *M; ++i) {
for (int j = 0; j < *N; ++j) {
C[i * *LDC + j] = 0;
for (int k = 0; k < *K; ++k) {
C[i * *LDC + j] += A[i * *LDA + j] * B[j * *LDB + k];
}
}
}
}
#endif
int tutorial_sleep(double big_o, int do_report)
{
int err = 0;
if (big_o != 0.0) {
struct timespec seconds = {(time_t)(big_o),
(long)((big_o -
(time_t)(big_o)) * 1E9)};
if (do_report) {
printf("Sleeping for %e seconds\n", big_o);
fflush(stdout);
}
err = clock_nanosleep(CLOCK_REALTIME, 0, &seconds, NULL);
}
return err;
}
int tutorial_dgemm(double big_o, int do_report)
{
int err = 0;
if (big_o != 0.0) {
int matrix_size = (int) pow(4e9 * big_o, 1.0/3.0);
int pad_size = 64;
size_t mem_size = sizeof(double) * (matrix_size * (matrix_size + pad_size));
char transa = 'n';
char transb = 'n';
int M = matrix_size;
int N = matrix_size;
int K = matrix_size;
int LDA = matrix_size + pad_size / sizeof(double);
int LDB = matrix_size + pad_size / sizeof(double);
int LDC = matrix_size + pad_size / sizeof(double);
double alpha = 2.0;
double beta = 3.0;
double *A = NULL;
double *B = NULL;
double *C = NULL;
err = posix_memalign((void *)&A, pad_size, mem_size);
if (!err) {
err = posix_memalign((void *)&B, pad_size, mem_size);
}
if (!err) {
err = posix_memalign((void *)&C, pad_size, mem_size);
}
if (!err) {
#pragma omp parallel for
for (int i = 0; i < mem_size / sizeof(double); ++i) {
A[i] = random() / RAND_MAX;
B[i] = random() / RAND_MAX;
}
if (do_report) {
printf("Executing a %d x %d DGEMM\n", matrix_size, matrix_size);
fflush(stdout);
}
dgemm(&transa, &transb, &M, &N, &K, &alpha,
A, &LDA, B, &LDB, &beta, C, &LDC);
free(C);
free(B);
free(A);
}
}
return err;
}
int tutorial_stream(double big_o, int do_report)
{
int err = 0;
if (big_o != 0.0) {
size_t cline_size = 64;
size_t num_stream = (size_t)big_o * 500000000;
size_t mem_size = sizeof(double) * num_stream;
double *a = NULL;
double *b = NULL;
double *c = NULL;
double scalar = 3.0;
err = posix_memalign((void *)&a, cline_size, mem_size);
if (!err) {
err = posix_memalign((void *)&b, cline_size, mem_size);
}
if (!err) {
err = posix_memalign((void *)&c, cline_size, mem_size);
}
if (!err) {
#pragma omp parallel for
for (int i = 0; i < num_stream; i++) {
a[i] = 0.0;
b[i] = 1.0;
c[i] = 2.0;
}
if (do_report) {
printf("Executing STREAM triad on length %d vectors.\n", num_stream);
fflush(stdout);
}
#pragma omp parallel for
for (int i = 0; i < num_stream; ++i) {
a[i] = b[i] + scalar * c[i];
}
free(c);
free(b);
free(a);
}
}
return err;
}
int tutorial_all2all(double big_o, int do_report)
{
/* Best case scaling is O(ln(num_send) + num_rank) => */
/* num_send = exp(big_o_n - factor * num_rank) */
/* We have somewhat arbitrarily set factor to 1/128 */
int err = 0;
if (big_o != 0.0) {
int num_rank = 0;
int err = MPI_Comm_size(MPI_COMM_WORLD, &num_rank);
size_t num_send = (size_t)pow(2.0, 16 * big_o - num_rank / 128.0);
num_send = num_send ? num_send : 1;
size_t cline_size = 64;
char *send_buffer = NULL;
char *recv_buffer = NULL;
if (!err) {
err = posix_memalign((void *)&send_buffer, cline_size,
num_rank * num_send * sizeof(char));
}
if (!err) {
err = posix_memalign((void *)&recv_buffer, cline_size,
num_rank * num_send * sizeof(char));
}
if (!err) {
if (do_report) {
printf("Executing all2all of %d byte buffer on %d ranks.\n",
num_send * sizeof(char), num_rank);
fflush(stdout);
}
err = MPI_Alltoall(send_buffer, num_send, MPI_CHAR, recv_buffer,
num_send, MPI_CHAR, MPI_COMM_WORLD);
}
if (!err) {
err = MPI_Barrier(MPI_COMM_WORLD);
}
if (!err) {
free(recv_buffer);
free(send_buffer);
}
}
return err;
}
int tutorial_dgemm_static(double big_o, int do_report)
{
static double big_o_last = 0.0;
static double *A = NULL;
static double *B = NULL;
static double *C = NULL;
int err = 0;
if (big_o != 0.0) {
int matrix_size = (int) pow(4e9 * big_o, 1.0/3.0);
int pad_size = 64;
size_t mem_size = sizeof(double) * (matrix_size * (matrix_size + pad_size));
char transa = 'n';
char transb = 'n';
int M = matrix_size;
int N = matrix_size;
int K = matrix_size;
int LDA = matrix_size + pad_size / sizeof(double);
int LDB = matrix_size + pad_size / sizeof(double);
int LDC = matrix_size + pad_size / sizeof(double);
double alpha = 2.0;
double beta = 3.0;
if (big_o != big_o_last) {
big_o_last = big_o;
if (A) {
free(C);
free(B);
free(A);
A = NULL;
B = NULL;
C = NULL;
}
err = posix_memalign((void *)&A, pad_size, mem_size);
if (!err) {
err = posix_memalign((void *)&B, pad_size, mem_size);
}
if (!err) {
err = posix_memalign((void *)&C, pad_size, mem_size);
}
if (!err) {
#pragma omp parallel for
for (int i = 0; i < mem_size / sizeof(double); ++i) {
A[i] = random() / RAND_MAX;
B[i] = random() / RAND_MAX;
}
}
}
if (!err) {
if (do_report) {
printf("Executing a %d x %d DGEMM\n", matrix_size, matrix_size);
fflush(stdout);
}
dgemm(&transa, &transb, &M, &N, &K, &alpha,
A, &LDA, B, &LDB, &beta, C, &LDC);
}
}
else if (A) {
free(C);
free(B);
free(A);
A = NULL;
B = NULL;
C = NULL;
}
return err;
}
#ifdef _OPENMP
static int stream_profiled_omp(uint64_t region_id, size_t num_stream, double scalar, double *a, double *b, double *c)
{
const size_t block = 256;
const size_t num_block = num_stream / block;
const size_t num_remain = num_stream % block;
int err = 0;
int num_thread = 1;
#pragma omp parallel
{
num_thread = omp_get_num_threads();
}
#pragma omp parallel
{
int thread_idx = omp_get_thread_num();
(void)geopm_tprof_init_loop(num_thread, thread_idx, num_block, 0);
#pragma omp for
for (size_t i = 0; i < num_block; ++i) {
for (size_t j = 0; j < block; ++j) {
a[i * block + j] = b[i * block + j] + scalar * c[i * block + j];
}
(void)geopm_tprof_post();
}
#pragma omp for
for (size_t j = 0; j < num_remain; ++j) {
a[num_block * block + j] = b[num_block * block + j] + scalar * c[num_block * block + j];
}
}
return err;
}
#endif
static int stream_profiled_serial(uint64_t region_id, size_t num_stream, double scalar, double *a, double *b, double *c)
{
const size_t block = 256;
const size_t num_block = num_stream / block;
const size_t num_remain = num_stream % block;
const double norm = 1.0 / num_block;
for (size_t i = 0; i < num_block; ++i) {
for (size_t j = 0; j < block; ++j) {
a[i * block + j] = b[i * block + j] + scalar * c[i * block + j];
}
geopm_prof_progress(region_id, i * norm);
}
for (size_t j = 0; j < num_remain; ++j) {
a[num_block * block + j] = b[num_block * block + j] + scalar * c[num_block * block + j];
}
return 0;
}
int tutorial_stream_profiled(double big_o, int do_report)
{
int err = 0;
if (big_o != 0.0) {
size_t cline_size = 64;
size_t num_stream = (size_t)big_o * 500000000;
size_t mem_size = sizeof(double) * num_stream;
double *a = NULL;
double *b = NULL;
double *c = NULL;
double scalar = 3.0;
uint64_t stream_rid;
if (!err) {
err = geopm_prof_region("tutorial_stream",
GEOPM_REGION_HINT_MEMORY,
&stream_rid);
}
err = posix_memalign((void *)&a, cline_size, mem_size);
if (!err) {
err = posix_memalign((void *)&b, cline_size, mem_size);
}
if (!err) {
err = posix_memalign((void *)&c, cline_size, mem_size);
}
if (!err) {
#pragma omp parallel for
for (int i = 0; i < num_stream; i++) {
a[i] = 0.0;
b[i] = 1.0;
c[i] = 2.0;
}
if (do_report) {
printf("Executing profiled STREAM triad on length %d vectors.\n", num_stream);
fflush(stdout);
}
err = geopm_prof_enter(stream_rid);
}
if (!err) {
#ifdef _OPENMP
err = stream_profiled_omp(stream_rid, num_stream, scalar, a, b, c);
#else
err = stream_profiled_serial(stream_rid, num_stream, scalar, a, b, c);
#endif
}
if (!err) {
err = geopm_prof_exit(stream_rid);
}
if (!err) {
free(c);
free(b);
free(a);
}
}
}