Files
triton/bench/blas.cpp
Philippe Tillet a96c897cb3 Various fixes
2015-01-27 02:41:27 -05:00

184 lines
6.1 KiB
C++

#include "atidlas/array.h"
#include "atidlas/tools/timer.hpp"
#include "clAmdBlas.h"
#include "common.hpp"
#include "cblas.h"
#include <iomanip>
#include <stdlib.h>
#include <cmath>
namespace ad = atidlas;
typedef atidlas::int_t int_t;
void bench(ad::numeric_type dtype)
{
unsigned int dtsize = ad::size_of(dtype);
float total_time = 0;
std::vector<double> times;
ad::tools::timer timer;
#define BENCHMARK(OP, PERF) \
{\
times.clear();\
total_time = 0;\
OP;\
ad::cl::synchronize(ad::cl::default_context());\
while(total_time < 1e-2){\
timer.start(); \
OP;\
ad::cl::synchronize(ad::cl::default_context());\
times.push_back(timer.get());\
total_time += times.back();\
}\
float tres = median(times);\
std::cout << " " << PERF << std::flush;\
}
/*---------*/
/*--BLAS1--*/
/*---------*/
std::cout << "#AXPY" << std::endl;
for(std::vector<int_t>::const_iterator it = BLAS1_N.begin() ; it != BLAS1_N.end() ; ++it)
{
int_t N = *it;
std::cout << N;
/* ATIDLAS */
atidlas::array x(N, dtype), y(N, dtype);
BENCHMARK(y = x + y, bandwidth(3*N, tres, dtsize));
/* clAmdBlas */
#ifdef BENCH_CLAMDBLAS
BENCHMARK(clAmdBlasSaxpy(N, 1, x.data()(), 0, 1, y.data()(), 0, 1, 1, &atidlas::cl::get_queue(x.context(), 0)(), 0, NULL, NULL), bandwidth(3*N, tres, dtsize))
#endif
/* BLAS */
#ifdef BENCH_CBLAS
std::vector<float> cx(N), cy(N);
atidlas::copy(x, cx);
atidlas::copy(y, cy);
BENCHMARK(cblas_saxpy(N, 1, cx.data(), 1, cy.data(), 1), bandwidth(3*N, tres, dtsize));
#endif
std::cout << std::endl;
}
std::cout << "\n\n" << std::flush;
std::cout << "#DOT" << std::endl;
for(std::vector<int_t>::const_iterator it = BLAS1_N.begin() ; it != BLAS1_N.end() ; ++it)
{
int_t N = *it;
std::cout << N;
/* ATIDLAS */
atidlas::array x(N, dtype), y(N, dtype);
atidlas::array scratch(N, dtype);
atidlas::scalar s(dtype);
BENCHMARK(s = dot(x,y), bandwidth(2*N, tres, dtsize));
/* clAmdBlas */
#ifdef BENCH_CLAMDBLAS
BENCHMARK(clAmdBlasSdot(N, s.data()(), 0, x.data()(), 0, 1, y.data()(), 0, 1, scratch.data()(), 1, &atidlas::cl::get_queue(x.context(), 0)(), 0, NULL, NULL), bandwidth(2*N, tres, dtsize))
#endif
/* BLAS */
#ifdef BENCH_CBLAS
std::vector<float> cx(N), cy(N);
atidlas::copy(x, cx);
atidlas::copy(y, cy);
BENCHMARK(cblas_sdot(N, cx.data(), 1, cy.data(), 1), bandwidth(2*N, tres, dtsize));
#endif
std::cout << std::endl;
}
std::cout << "\n\n" << std::flush;
/*---------*/
/*--BLAS2--*/
/*---------*/
//T-layout
std::cout << "#GEMV-T" << std::endl;
for(std::vector<int>::const_iterator Mit = BLAS2_M.begin() ; Mit != BLAS2_M.end() ; ++Mit)
for(std::vector<int_t>::const_iterator Nit = BLAS2_N.begin() ; Nit != BLAS2_N.end() ; ++Nit)
{
int_t M = *Mit;
int_t N = *Nit;
std::cout << M << "," << N;
/* ATIDLAS */
atidlas::array A(N, M, dtype), y(M, dtype), x(N, dtype);
BENCHMARK(y = dot(trans(A),x), bandwidth(M*N + M + N, tres, dtsize));
/* clAmdBlas */
#ifdef BENCH_CLAMDBLAS
BENCHMARK(clAmdBlasSgemv(clAmdBlasColumnMajor, clAmdBlasTrans, N, M, 1, A.data()(), A.ld(), x.data()(), 0, 1, 0, y.data()(), 0, 1, 1, &atidlas::cl::get_queue(x.context(), 0)(),0, NULL, NULL), bandwidth(M*N + M + N, tres, dtsize))
#endif
/* BLAS */
#ifdef BENCH_CBLAS
std::vector<float> cA(N*M), cx(N), cy(M);
atidlas::copy(x, cx);
atidlas::copy(y, cy);
atidlas::copy(A, cA);
BENCHMARK(cblas_sgemv(CblasColMajor, CblasTrans, N, M, 1, cA.data(), N, cx.data(), 1, 0, cy.data(), 1), bandwidth(M*N + M + N, tres, dtsize));
#endif
std::cout << std::endl;
}
std::cout << "\n\n" << std::flush;
// /*---------*/
// /*--BLAS3--*/
// /*---------*/
std::cout << "#GEMM-NT" << std::endl;
for(std::vector<int_t>::const_iterator Mit = BLAS3_M.begin() ; Mit != BLAS3_M.end() ; ++Mit)
for(std::vector<int_t>::const_iterator Nit = BLAS3_N.begin() ; Nit != BLAS3_N.end() ; ++Nit)
for(std::vector<int_t>::const_iterator Kit = BLAS3_K.begin() ; Kit != BLAS3_K.end() ; ++Kit)
{
int_t M = *Mit, N = *Nit, K = *Kit;
std::cout << M << "," << N << "," << K;
/* ATIDLAS */
atidlas::array C(M, N, dtype), A(M, K, dtype), B(N, K, dtype);
BENCHMARK(C = dot(A,trans(B)), gflops((double)2*M*N*K, tres));
/* clAmdBlas */
#ifdef BENCH_CLAMDBLAS
BENCHMARK(clAmdBlasSgemm(clAmdBlasColumnMajor, clAmdBlasNoTrans, clAmdBlasTrans, M, N, K, 1, A.data()(), A.ld(), B.data()(), B.ld(),
0, C.data()(), C.ld(), 1, &atidlas::cl::get_queue(C.context(), 0)(),0, NULL, NULL), gflops((double)2*M*N*K, tres))
#endif
/* BLAS */
#ifdef BENCH_CBLAS
std::vector<float> cC(M*N), cA(M*K), cB(N*K);
atidlas::copy(C, cC);
atidlas::copy(A, cA);
atidlas::copy(B, cB);
BENCHMARK(cblas_sgemm(CblasColMajor, CblasNoTrans, CblasTrans, M, N, K, 1, cA.data(), M, cB.data(), N, 1, cC.data(), M), gflops((double)2*M*N*K, tres));
#endif
std::cout << std::endl;
}
}
int main(int argc, char* argv[])
{
#ifdef BENCH_CLAMDBLAS
clAmdBlasSetup();
#endif
int device_idx = 0;
if(atidlas::cl::queues.size()>1){
atidlas::cl::queues_t & queues = atidlas::cl::queues;
if(argc!=2)
{
std::cerr << "usage : blas-bench [DEVICE_IDX]" << std::endl;
std::cout << "Devices available: " << std::endl;
unsigned int current=0;
for(atidlas::cl::queues_t::const_iterator it = queues.begin() ; it != queues.end() ; ++it){
atidlas::cl::Device device = it->first.getInfo<CL_CONTEXT_DEVICES>()[0];
std::cout << current++ << ": " << device.getInfo<CL_DEVICE_NAME>() << "(" << atidlas::cl::Platform(device.getInfo<CL_DEVICE_PLATFORM>()).getInfo<CL_PLATFORM_NAME>() << ")" << std::endl;
}
exit(EXIT_FAILURE);
}
else if(argc==2)
device_idx = atoi(argv[1]);
}
atidlas::cl::default_context_idx = device_idx;
std::cout << "#Benchmark : BLAS" << std::endl;
std::cout << "#----------------" << std::endl;
bench(ad::FLOAT_TYPE);
#ifdef BENCH_CLAMDBLAS
clAmdBlasTeardown();
#endif
}