//===----------------------------------------------------------------------===// // // Part of CUDASTF in CUDA C++ Core Libraries, // under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. // //===----------------------------------------------------------------------===// #include using namespace cuda::experimental::stf; int main(int argc, char** argv) { stream_ctx ctx; const size_t N = 16; double X[N], Y[N]; for (size_t i = 0; i < N; i++) { X[i] = 1.0; Y[i] = 2.0; } auto lX = ctx.logical_data(X); auto lY = ctx.logical_data(Y); #ifdef NDEBUG int iter_cnt = 1000000; #else int iter_cnt = 10000; fprintf(stderr, "Warning: Running with small problem size in debug mode, should use DEBUG=0.\n"); #endif if (argc > 1) { iter_cnt = atoi(argv[1]); } std::chrono::steady_clock::time_point start, stop; start = std::chrono::steady_clock::now(); for (int iter = 0; iter < iter_cnt; iter++) { ctx.launch(lX.read(), lY.rw())->*[] _CCCL_DEVICE(auto th, auto X, auto Y) { for (size_t i = th.rank(); i < X.size(); i += th.size()) { Y(i) = 2.0 * X(i); } }; ctx.launch(lX.rw(), lY.read())->*[] _CCCL_DEVICE(auto th, auto X, auto Y) { for (size_t i = th.rank(); i < X.size(); i += th.size()) { X(i) = 0.5 * Y(i); } }; } stop = std::chrono::steady_clock::now(); ctx.finalize(); std::chrono::duration duration = stop - start; fprintf(stderr, "Elapsed: %.2lf us per task\n", duration.count() * 1000000.0 / (2 * iter_cnt)); }