// MIT License // // Copyright (c) 2023 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 "hip/hip_runtime.h" #include "rocprofiler-sdk-roctx/roctx.h" #include #include #include #include #include #include #include #if defined(USE_MPI) # include #endif #define HIP_API_CALL(CALL) \ { \ hipError_t error_ = (CALL); \ if(error_ != hipSuccess) \ { \ auto _hip_api_print_lk = auto_lock_t{print_lock}; \ fprintf(stderr, \ "%s:%d :: HIP error : %s\n", \ __FILE__, \ __LINE__, \ hipGetErrorString(error_)); \ throw std::runtime_error("hip_api_call"); \ } \ } namespace { using auto_lock_t = std::unique_lock; auto print_lock = std::mutex{}; constexpr unsigned shared_mem_tile_dim = 32; void check_hip_error(void); void verify(int* in, int* out, int M, int N); __global__ void transpose(const int* in, int* out, int M, int N); void run_transpose_impl(int rank, int tid, int ndevice, size_t nitr, size_t nsync); __global__ void transpose(const int* in, int* out, int M, int N) { __shared__ int tile[shared_mem_tile_dim][shared_mem_tile_dim]; int idx = (blockIdx.y * blockDim.y + threadIdx.y) * M + blockIdx.x * blockDim.x + threadIdx.x; tile[threadIdx.y][threadIdx.x] = in[idx]; __syncthreads(); idx = (blockIdx.x * blockDim.x + threadIdx.y) * N + blockIdx.y * blockDim.y + threadIdx.x; out[idx] = tile[threadIdx.x][threadIdx.y]; } void run_transpose_impl(int rank, int tid, int devid, size_t nitr, size_t nsync) { roctxRangePush("run_transpose_impl"); constexpr unsigned int M = 4960 * 2; constexpr unsigned int N = 4960 * 2; hipStream_t stream = {}; printf("[transpose] Rank %i, thread %i assigned to device %i\n", rank, tid, devid); HIP_API_CALL(hipSetDevice(devid)); HIP_API_CALL(hipStreamCreate(&stream)); auto_lock_t _lk{print_lock}; std::cout << "[transpose][" << rank << "][" << tid << "] M: " << M << " N: " << N << std::endl; _lk.unlock(); std::default_random_engine _engine{std::random_device{}() * (rank + 1) * (tid + 1)}; std::uniform_int_distribution _dist{0, 1000}; size_t size = sizeof(int) * M * N; int* inp_matrix = new int[size]; int* out_matrix = new int[size]; for(size_t i = 0; i < M * N; i++) { inp_matrix[i] = _dist(_engine); out_matrix[i] = 0; } int* in = nullptr; int* out = nullptr; HIP_API_CALL(hipMalloc(&in, size)); HIP_API_CALL(hipMalloc(&out, size)); HIP_API_CALL(hipMemsetAsync(in, 0, size, stream)); HIP_API_CALL(hipMemsetAsync(out, 0, size, stream)); HIP_API_CALL(hipMemcpyAsync(in, inp_matrix, size, hipMemcpyHostToDevice, stream)); HIP_API_CALL(hipStreamSynchronize(stream)); dim3 grid(M / 32, N / 32, 1); dim3 block(32, 32, 1); // transpose auto t1 = std::chrono::high_resolution_clock::now(); for(size_t i = 0; i < nitr; ++i) { transpose<<>>(in, out, M, N); check_hip_error(); if(i % nsync == (nsync - 1)) HIP_API_CALL(hipStreamSynchronize(stream)); } auto t2 = std::chrono::high_resolution_clock::now(); HIP_API_CALL(hipStreamSynchronize(stream)); HIP_API_CALL(hipMemcpyAsync(out_matrix, out, size, hipMemcpyDeviceToHost, stream)); double time = std::chrono::duration_cast>(t2 - t1).count(); float GB = (float) size * nitr * 2 / (1 << 30); print_lock.lock(); std::cout << "[transpose][" << rank << "][" << tid << "] Runtime of transpose is " << time << " sec\n"; std::cout << "[transpose][" << rank << "][" << tid << "] The average performance of transpose is " << GB / time << " GBytes/sec" << std::endl; print_lock.unlock(); HIP_API_CALL(hipStreamSynchronize(stream)); HIP_API_CALL(hipStreamDestroy(stream)); // cpu_transpose(matrix, out_matrix, M, N); verify(inp_matrix, out_matrix, M, N); HIP_API_CALL(hipFree(in)); HIP_API_CALL(hipFree(out)); delete[] inp_matrix; delete[] out_matrix; roctxRangePop(); } void check_hip_error(void) { hipError_t err = hipGetLastError(); if(err != hipSuccess) { auto_lock_t _lk{print_lock}; std::cerr << "Error: " << hipGetErrorString(err) << std::endl; throw std::runtime_error("hip_api_call"); } } void verify(int* in, int* out, int M, int N) { for(int i = 0; i < 10; i++) { int row = rand() % M; int col = rand() % N; if(in[row * N + col] != out[col * M + row]) { auto_lock_t _lk{print_lock}; std::cout << "mismatch: " << row << ", " << col << " : " << in[row * N + col] << " | " << out[col * M + row] << "\n"; } } } } // namespace void run_transpose(size_t nthreads, size_t nitr, size_t nsync) { auto range_id = roctxRangeStart("run_transpose"); int rank = 0; int size = 1; printf("[transpose] Number of threads: %zu\n", nthreads); printf("[transpose] Number of iterations: %zu\n", nitr); printf("[transpose] Syncing every %zu iterations\n", nsync); #if defined(USE_MPI) MPI_Comm_rank(MPI_COMM_WORLD, &rank); MPI_Comm_size(MPI_COMM_WORLD, &size); #else (void) size; #endif // this is a temporary workaround in omnitrace when HIP + MPI is enabled int ndevice = 0; HIP_API_CALL(hipGetDeviceCount(&ndevice)); printf("[transpose] Number of devices found: %i\n", ndevice); auto devids = std::vector{}; devids.resize(size * nthreads, 0); int devid = 0; for(size_t i = 0; i < nthreads; ++i) { for(int j = 0; j < size; ++j) { auto idx = (j * nthreads) + i; devids.at(idx) = devid++ % ndevice; } } auto devid_offset = (rank * nthreads); auto _threads = std::vector{}; for(size_t i = 1; i < nthreads; ++i) _threads.emplace_back( run_transpose_impl, rank, i, devids.at(devid_offset + i), nitr, nsync); run_transpose_impl(rank, 0, devids.at(devid_offset + 0), nitr, nsync); for(auto& itr : _threads) itr.join(); #if defined(USE_MPI) MPI_Barrier(MPI_COMM_WORLD); #endif // for(int i = 0; i < ndevice; ++i) // { // HIP_API_CALL(hipSetDevice(i)); // HIP_API_CALL(hipDeviceSynchronize()); // } // #if defined(USE_MPI) // MPI_Barrier(MPI_COMM_WORLD); // #endif // if(rank == 0) // { // for(int i = 0; i < ndevice; ++i) // { // HIP_API_CALL(hipSetDevice(i)); // HIP_API_CALL(hipDeviceReset()); // } // } // #if defined(USE_MPI) // MPI_Barrier(MPI_COMM_WORLD); // #endif roctxRangeStop(range_id); }