//===----------------------------------------------------------------------===// // // Part of CUDA Experimental 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) 2025 NVIDIA CORPORATION & AFFILIATES. // //===----------------------------------------------------------------------===// // Example of using `cub::DeviceReduce::Reduce` with cudax environment. #include #include #include #include #include namespace cudax = cuda::experimental; int main() { constexpr int num_items = 50000; // A CUDA stream on which to execute the reduction cuda::stream stream{cuda::devices[0]}; cuda::device_memory_pool_ref mr = cuda::device_default_memory_pool(cuda::devices[0]); // Allocate input and output, but do not zero initialize output (`cuda::no_init`) auto d_in = cuda::make_buffer(stream, mr, num_items, 1); auto d_out = cuda::make_buffer(stream, mr, 1, cuda::no_init); // An environment we use to pass all necessary information to CUB cudax::env_t env{mr, stream}; auto error = cub::DeviceReduce::Reduce(d_in.begin(), d_out.begin(), num_items, cuda::std::plus{}, 0, env); if (error != cudaSuccess) { std::cerr << "cub::DeviceReduce::Reduce failed: " << cudaGetErrorString(error) << "\n"; exit(EXIT_FAILURE); } auto h_out = cuda::make_buffer(stream, cuda::pinned_default_memory_pool(), d_out); stream.sync(); if (h_out.get_unsynchronized(0) != num_items) { std::cerr << "Result verification failed: " << h_out.get_unsynchronized(0) << " != " << num_items << "\n"; exit(EXIT_FAILURE); } }