// MIT License // // Copyright (c) 2023-2025 Advanced Micro Devices, Inc. All rights reserved. // // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software without restriction, including without limitation the rights // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE // SOFTWARE. #include #include #define HIP_ASSERT(call) \ do \ { \ hipError_t err = call; \ if(err != hipSuccess) \ { \ fprintf(stderr, "%s\n", hipGetErrorString(err)); \ abort(); \ } \ } while(0) __device__ int counter = 0; __global__ void add(int n, float* x, float* y) { if(__hip_atomic_load(&counter, __ATOMIC_ACQUIRE, __HIP_MEMORY_SCOPE_AGENT) != 0) { abort(); } __hip_atomic_fetch_add(&counter, 1, __ATOMIC_RELEASE, __HIP_MEMORY_SCOPE_SYSTEM); int index = blockIdx.x * blockDim.x + threadIdx.x; int stride = blockDim.x * gridDim.x; for(int i = index; i < n; i += stride) y[i] = x[i] + y[i]; __hip_atomic_fetch_add(&counter, -1, __ATOMIC_RELEASE, __HIP_MEMORY_SCOPE_SYSTEM); } void LaunchMultiStreamKernels() { int N = 1 << 4; float* x = new float[N]; float* y = new float[N]; float* d_x; float* d_y; // Allocate Unified Memory -- accessible from CPU or GPU HIP_ASSERT(hipMallocManaged(&d_x, N * sizeof(float))); HIP_ASSERT(hipMallocManaged(&d_y, N * sizeof(float))); // initialize x and y arrays on the host for(int i = 0; i < N; i++) { x[i] = 1.0f; y[i] = 2.0f; } std::vector hip_streams; for(int i = 0; i < 100; i++) { hipStream_t stream; HIP_ASSERT(hipStreamCreate(&stream)); hip_streams.push_back(stream); } HIP_ASSERT(hipMemcpy(d_x, x, N * sizeof(float), hipMemcpyHostToDevice)); HIP_ASSERT(hipMemcpy(d_y, y, N * sizeof(float), hipMemcpyHostToDevice)); // Launch kernel on one or two warps on the GPU int blockSize = 64; // This Kernel will always be launched with one wave int numBlocks = 1; for(int i = 0; i < 100; i++) { for(auto& hip_stream : hip_streams) { hipLaunchKernelGGL(add, numBlocks, blockSize, 0, hip_stream, N, d_x, d_y); } } // Wait for GPU to finish before accessing on host HIP_ASSERT(hipDeviceSynchronize()); HIP_ASSERT(hipMemcpy(x, d_x, N * sizeof(float), hipMemcpyDeviceToHost)); HIP_ASSERT(hipMemcpy(y, d_y, N * sizeof(float), hipMemcpyDeviceToHost)); // Free memory HIP_ASSERT(hipFree(d_x)); HIP_ASSERT(hipFree(d_y)); delete[] x; delete[] y; for(auto& hip_stream : hip_streams) { HIP_ASSERT(hipStreamDestroy(hip_stream)); } } int main() { LaunchMultiStreamKernels(); }