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March 14, 2024 08:58
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Apple Accelerate sgemv benchmark
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#include <algorithm> | |
#include <chrono> | |
#include <iostream> | |
#include <iterator> | |
#include <random> | |
#include <vector> | |
#include <Accelerate/Accelerate.h> | |
#include <cblas.h> | |
using namespace std; | |
// Compile with: | |
// | |
// c++ -std=c++17 accelerate_gemv.cpp \ | |
// -framework Accelerate \ | |
// -I/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/System/Library/Frameworks/Accelerate.framework/Versions/Current/Frameworks/vecLib.framework/Headers/ | |
int main(int, char **) { | |
int iters = 1000; | |
int m = 1; | |
/* int n = 2048; */ | |
int n = 51865; | |
int k = 512; | |
int lda = n; | |
int incx = 1; | |
float alpha = 1.; | |
float beta = 0.; | |
int incy = 1; | |
random_device rnd_device; | |
mt19937 mersenne_engine{rnd_device()}; | |
uniform_int_distribution<int> dist{1, 52}; | |
auto gen = [&dist, &mersenne_engine]() { return dist(mersenne_engine); }; | |
vector<float> a(n * k); | |
generate(begin(a), end(a), gen); | |
vector<float> x(k); | |
generate(begin(x), end(x), gen); | |
vector<float> y(n); | |
auto start = std::chrono::steady_clock::now(); | |
for (int i = 0; i < iters; i++) { | |
cblas_sgemv(CblasRowMajor, CblasNoTrans, k, n, alpha, a.data(), lda, | |
x.data(), incx, beta, y.data(), incy); | |
} | |
auto end = std::chrono::steady_clock::now(); | |
auto duration = | |
std::chrono::duration_cast<std::chrono::microseconds>(end - start) | |
.count(); | |
auto flops = | |
static_cast<double>(2 * m * n * k * static_cast<int64_t>(iters)) / | |
(static_cast<double>(duration) / 1000000.0); | |
auto gflops = flops / 1e9; | |
std::cout << "duration (s) " << duration << std::endl; | |
std::cout << "gflops " << gflops << std::endl; | |
} |
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Created as part of comparisons with rten in robertknight/rten#42 (comment).