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mirror of https://github.com/fumiama/base16384-sycl.git synced 2026-06-05 16:50:37 +08:00

doc: add README&LICENSE

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源文雨
2025-09-28 17:19:23 +08:00
parent ad1df2bb98
commit a9268fc3ce
7 changed files with 893 additions and 48 deletions

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@@ -1,3 +1,4 @@
#include <chrono>
#include <iostream>
#include <sycl/sycl.hpp>
#include <vector>
@@ -7,7 +8,8 @@
#include "errors.hpp"
static const int N = 4;
static const int N = 65536;
static const int work_group_size = 64;
int main() {
#ifdef _WIN32
@@ -28,20 +30,48 @@ int main() {
std::cout << "其他" << std::endl;
}
// CPU baseline test
std::vector<int> cpu_data(N);
for (int i = 0; i < N; i++) cpu_data[i] = i;
auto start_time = std::chrono::high_resolution_clock::now();
for (int i = 0; i < N; i++) cpu_data[i] *= 2;
auto end_time = std::chrono::high_resolution_clock::now();
auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
std::cout << "CPU (" << duration.count() << " us):" << std::endl;
for (int i = 0; i < min(N, 64); i++) std::cout << " " << cpu_data[i];
std::cout << "..." << std::endl;
int *data = sycl::malloc_shared<int>(N, q);
for (int i = 0; i < N; i++) data[i] = i;
auto errn = failed([&]() {
q.parallel_for(sycl::range<1>(1), [=](sycl::id<1>) {
for (int i = 0; i < N; i++) {
data[i] *= 2;
}
}).wait();
});
// test basic parallel kernel
start_time = std::chrono::high_resolution_clock::now();
auto errn = base16384_try_failed(
[&]() { q.parallel_for(sycl::range<1>(N), [=](sycl::id<1> i) { data[i] *= 2; }).wait(); });
end_time = std::chrono::high_resolution_clock::now();
duration = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
if (errn) return errn;
for (int i = 0; i < N; i++) std::cout << data[i] << std::endl;
std::cout << "GPU基本并行 (" << duration.count() << " us):" << std::endl;
for (int i = 0; i < min(N, 64); i++) std::cout << " " << data[i];
std::cout << "..." << std::endl;
start_time = std::chrono::high_resolution_clock::now();
errn = base16384_try_failed([&]() {
q.parallel_for(sycl::nd_range<1>(N, work_group_size), [=](sycl::nd_item<1> item) {
int i = item.get_global_id(0);
data[i] /= 2;
}).wait();
});
end_time = std::chrono::high_resolution_clock::now();
duration = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
if (errn) return errn;
std::cout << "GPU高级并行 (" << duration.count() << " us):" << std::endl;
for (int i = 0; i < min(N, 64); i++) std::cout << " " << data[i];
std::cout << "..." << std::endl;
sycl::free(data, q);