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// USAGE: halide_benchmarks <subroutine> <size>
//
// Benchmarks BLAS subroutines using Halide's implementation. Will
// construct random size x size matrices and/or size x 1 vectors
// to test the subroutine with.
//
// Accepted values for subroutine are:
// L1: scal, copy, axpy, dot, nrm2
// L2: gemv_notrans, gemv_trans
// L3: gemm_notrans, gemm_transA, gemm_transB, gemm_transAB
//
#include "cblas.h"
#include "clock.h"
#include "macros.h"
#include <iomanip>
#include <iostream>
#include <random>
#include <string>
#ifndef BLAS_NAME
#define BLAS_NAME "Unknown"
#endif
template<class T>
struct BenchmarksBase {
typedef T Scalar;
typedef std::vector<T> Vector;
typedef std::vector<T> Matrix;
std::random_device rand_dev;
std::default_random_engine rand_eng{rand_dev()};
std::string name;
Scalar random_scalar() {
std::uniform_real_distribution<T> uniform_dist(0.0, 1.0);
return uniform_dist(rand_eng);
}
Vector random_vector(int N) {
Vector buff(N);
for (int i = 0; i < N; ++i) {
buff[i] = random_scalar();
}
return buff;
}
Matrix random_matrix(int N) {
Matrix buff(N * N);
for (int i = 0; i < N * N; ++i) {
buff[i] = random_scalar();
}
return buff;
}
BenchmarksBase(std::string n)
: name(n) {
}
void run(std::string benchmark, int size) {
if (benchmark == "copy") {
bench_copy(size);
} else if (benchmark == "scal") {
bench_scal(size);
} else if (benchmark == "axpy") {
bench_axpy(size);
} else if (benchmark == "dot") {
bench_dot(size);
} else if (benchmark == "asum") {
bench_asum(size);
} else if (benchmark == "gemv_notrans") {
this->bench_gemv_notrans(size);
} else if (benchmark == "gemv_trans") {
this->bench_gemv_trans(size);
} else if (benchmark == "ger") {
this->bench_ger(size);
} else if (benchmark == "gemm_notrans") {
this->bench_gemm_notrans(size);
} else if (benchmark == "gemm_transA") {
this->bench_gemm_transA(size);
} else if (benchmark == "gemm_transB") {
this->bench_gemm_transB(size);
} else if (benchmark == "gemm_transAB") {
this->bench_gemm_transAB(size);
}
}
virtual void bench_copy(int N) = 0;
virtual void bench_scal(int N) = 0;
virtual void bench_axpy(int N) = 0;
virtual void bench_dot(int N) = 0;
virtual void bench_asum(int N) = 0;
virtual void bench_gemv_notrans(int N) = 0;
virtual void bench_gemv_trans(int N) = 0;
virtual void bench_ger(int N) = 0;
virtual void bench_gemm_notrans(int N) = 0;
virtual void bench_gemm_transA(int N) = 0;
virtual void bench_gemm_transB(int N) = 0;
virtual void bench_gemm_transAB(int N) = 0;
};
struct BenchmarksFloat : public BenchmarksBase<float> {
BenchmarksFloat(std::string n)
: BenchmarksBase(n) {
}
Scalar result;
L1Benchmark(copy, "s", cblas_scopy(N, &(x[0]), 1, &(y[0]), 1));
L1Benchmark(scal, "s", cblas_sscal(N, alpha, &(x[0]), 1));
L1Benchmark(axpy, "s", cblas_saxpy(N, alpha, &(x[0]), 1, &(y[0]), 1));
L1Benchmark(dot, "s", result = cblas_sdot(N, &(x[0]), 1, &(y[0]), 1));
L1Benchmark(asum, "s", result = cblas_sasum(N, &(x[0]), 1));
L2Benchmark(gemv_notrans, "s", cblas_sgemv(CblasColMajor, CblasNoTrans, N, N, alpha, &(A[0]), N, &(x[0]), 1, beta, &(y[0]), 1));
L2Benchmark(gemv_trans, "s", cblas_sgemv(CblasColMajor, CblasTrans, N, N, alpha, &(A[0]), N, &(x[0]), 1, beta, &(y[0]), 1));
L2Benchmark(ger, "s", cblas_sger(CblasColMajor, N, N, alpha, &(x[0]), 1, &(y[0]), 1, &(A[0]), N));
L3Benchmark(gemm_notrans, "s", cblas_sgemm(CblasColMajor, CblasNoTrans, CblasNoTrans, N, N, N, alpha, &(A[0]), N, &(B[0]), N, beta, &(C[0]), N));
L3Benchmark(gemm_transA, "s", cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, N, N, N, alpha, &(A[0]), N, &(B[0]), N, beta, &(C[0]), N));
L3Benchmark(gemm_transB, "s", cblas_sgemm(CblasColMajor, CblasNoTrans, CblasTrans, N, N, N, alpha, &(A[0]), N, &(B[0]), N, beta, &(C[0]), N));
L3Benchmark(gemm_transAB, "s", cblas_sgemm(CblasColMajor, CblasTrans, CblasTrans, N, N, N, alpha, &(A[0]), N, &(B[0]), N, beta, &(C[0]), N));
};
struct BenchmarksDouble : public BenchmarksBase<double> {
BenchmarksDouble(std::string n)
: BenchmarksBase(n) {
}
Scalar result;
L1Benchmark(copy, "d", cblas_dcopy(N, &(x[0]), 1, &(y[0]), 1));
L1Benchmark(scal, "d", cblas_dscal(N, alpha, &(x[0]), 1));
L1Benchmark(axpy, "d", cblas_daxpy(N, alpha, &(x[0]), 1, &(y[0]), 1));
L1Benchmark(dot, "d", result = cblas_ddot(N, &(x[0]), 1, &(y[0]), 1));
L1Benchmark(asum, "d", result = cblas_dasum(N, &(x[0]), 1));
L2Benchmark(gemv_notrans, "d", cblas_dgemv(CblasColMajor, CblasNoTrans, N, N, alpha, &(A[0]), N, &(x[0]), 1, beta, &(y[0]), 1));
L2Benchmark(gemv_trans, "d", cblas_dgemv(CblasColMajor, CblasTrans, N, N, alpha, &(A[0]), N, &(x[0]), 1, beta, &(y[0]), 1));
L2Benchmark(ger, "d", cblas_dger(CblasColMajor, N, N, alpha, &(x[0]), 1, &(y[0]), 1, &(A[0]), N));
L3Benchmark(gemm_notrans, "d", cblas_dgemm(CblasColMajor, CblasNoTrans, CblasNoTrans, N, N, N, alpha, &(A[0]), N, &(B[0]), N, beta, &(C[0]), N));
L3Benchmark(gemm_transA, "d", cblas_dgemm(CblasColMajor, CblasTrans, CblasNoTrans, N, N, N, alpha, &(A[0]), N, &(B[0]), N, beta, &(C[0]), N));
L3Benchmark(gemm_transB, "d", cblas_dgemm(CblasColMajor, CblasNoTrans, CblasTrans, N, N, N, alpha, &(A[0]), N, &(B[0]), N, beta, &(C[0]), N));
L3Benchmark(gemm_transAB, "d", cblas_dgemm(CblasColMajor, CblasTrans, CblasTrans, N, N, N, alpha, &(A[0]), N, &(B[0]), N, beta, &(C[0]), N));
};
int main(int argc, char *argv[]) {
if (argc != 3) {
std::cout << "USAGE: cblas_benchmarks <subroutine> <size>\n";
return 0;
}
std::string subroutine = argv[1];
char type = subroutine[0];
int size = std::stoi(argv[2]);
subroutine = subroutine.substr(1);
if (type == 's') {
BenchmarksFloat(BLAS_NAME).run(subroutine, size);
} else if (type == 'd') {
BenchmarksDouble(BLAS_NAME).run(subroutine, size);
}
return 0;
}
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