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90 lines
3.7 KiB
C++
90 lines
3.7 KiB
C++
// -*- C++ -*-
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// Copyright (c) 2025 Advanced Micro Devices, Inc.
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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// The above copyright notice and this permission notice shall be included in
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// all copies or substantial portions of the Software.
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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// THE SOFTWARE.
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#include <hip/thread>
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#include <thrust/unique_ptr.h>
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#include <thrust/copy.h>
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#include <vector>
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#include <thread>
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#define N 0x10000000U
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#define NUM_ITERATIONS 512
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int main() {
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// Create and initialize vectors on the host
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std::vector<float> x_host(N, 1.0F);
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std::vector<float> y_host(N, 2.0F);
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const float alpha = 2.0F;
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// Allocate device memory and copy data to GPU
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thrust::unique_ptr<float[]> x = thrust::make_unique<float[]>(N);
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thrust::unique_ptr<float[]> y = thrust::make_unique<float[]>(N);
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thrust::copy(x_host.begin(), x_host.end(), x.get());
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thrust::copy(y_host.begin(), y_host.end(), y.get());
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decltype(std::chrono::steady_clock::now()) start;
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{ // hip::wthread scope starts here
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std::vector<hip::wthread> threads(hip::wthread::hardware_concurrency());
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// Make sure any async work is done before we 'start the clock'
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std::this_thread::sleep_for(std::chrono::milliseconds(500));
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start = std::chrono::steady_clock::now();
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for (unsigned int i = 0; i < threads.size(); ++i) {
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size_t chunk_size = (i < N % threads.size()) ? (N / threads.size() + 1) : (N / threads.size());
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size_t offset = (i < N % threads.size()) ? (i * chunk_size) : (i * chunk_size + N % threads.size());
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threads[i] = hip::wthread(
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[] __device__(uint32_t n, float a, const float *x, float *y) {
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for (uint32_t i = 0; i < n; ++i) {
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float t = x[i];
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for (int j = 0; j < NUM_ITERATIONS; ++j) {
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t = a * t + y[i];
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}
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y[i] = t;
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}
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},
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chunk_size, alpha, x.get_raw() + offset, y.get_raw() + offset);
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}
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for (auto &t : threads) {
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t.join();
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}
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} // hip::wthread scope ends here
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auto finished = std::chrono::steady_clock::now();
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// Copy results back from GPU to host if necessary
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thrust::copy(y.get(), y.get() + N, y_host.begin());
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// Check results:
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float t = 1.0F;
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for (int j = 0; j < NUM_ITERATIONS; ++j) {
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t = alpha * t + 2.0F;
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}
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for (uint32_t i = 0; i < N; ++i) {
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if (std::abs(y_host[i] - t) > 0.0000001F) {
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std::cerr << "Error: y_host[" << i << "] = " << y_host[i] << " (Expected " << t << ").\n";
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return 1;
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}
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}
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std::chrono::nanoseconds body = finished - start;
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std::cout.imbue(std::locale(""));
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std::cout << "Time to run saxpy(" << N << ") = " << body.count() << "ns\n";
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return 0;
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}
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