mirror of
https://github.com/fumiama/base16384-sycl.git
synced 2026-06-05 08:40:34 +08:00
80 lines
2.5 KiB
C++
80 lines
2.5 KiB
C++
#include <chrono>
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#include <iostream>
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#include <sycl/sycl.hpp>
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#include <vector>
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#ifdef _WIN32
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#include <windows.h>
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#endif
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#include "errors.hpp"
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static const int N = 65536;
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static const int work_group_size = 64;
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int main() {
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#ifdef _WIN32
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// Set console code page to UTF-8
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SetConsoleOutputCP(CP_UTF8);
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SetConsoleCP(CP_UTF8);
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#endif
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sycl::queue q;
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auto device = q.get_device();
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std::cout << "执行设备: " << device.get_info<sycl::info::device::name>() << std::endl;
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std::cout << "设备类型: ";
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if (device.is_cpu()) {
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std::cout << "CPU" << std::endl;
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} else if (device.is_gpu()) {
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std::cout << "GPU" << std::endl;
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} else {
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std::cout << "其他" << std::endl;
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}
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// CPU baseline test
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std::vector<int> cpu_data(N);
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for (int i = 0; i < N; i++) cpu_data[i] = i;
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auto start_time = std::chrono::high_resolution_clock::now();
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for (int i = 0; i < N; i++) cpu_data[i] *= 2;
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auto end_time = std::chrono::high_resolution_clock::now();
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auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
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std::cout << "CPU (" << duration.count() << " us):" << std::endl;
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for (int i = 0; i < min(N, 64); i++) std::cout << " " << cpu_data[i];
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std::cout << "..." << std::endl;
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int *data = sycl::malloc_shared<int>(N, q);
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for (int i = 0; i < N; i++) data[i] = i;
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// test basic parallel kernel
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start_time = std::chrono::high_resolution_clock::now();
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auto errn = base16384_try_failed(
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[&]() { q.parallel_for(sycl::range<1>(N), [=](sycl::id<1> i) { data[i] *= 2; }).wait(); });
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end_time = std::chrono::high_resolution_clock::now();
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duration = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
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if (errn) return errn;
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std::cout << "GPU基本并行 (" << duration.count() << " us):" << std::endl;
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for (int i = 0; i < min(N, 64); i++) std::cout << " " << data[i];
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std::cout << "..." << std::endl;
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start_time = std::chrono::high_resolution_clock::now();
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errn = base16384_try_failed([&]() {
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q.parallel_for(sycl::nd_range<1>(N, work_group_size), [=](sycl::nd_item<1> item) {
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int i = item.get_global_id(0);
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data[i] /= 2;
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}).wait();
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});
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end_time = std::chrono::high_resolution_clock::now();
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duration = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
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if (errn) return errn;
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std::cout << "GPU高级并行 (" << duration.count() << " us):" << std::endl;
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for (int i = 0; i < min(N, 64); i++) std::cout << " " << data[i];
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std::cout << "..." << std::endl;
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sycl::free(data, q);
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return 0;
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}
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