Files
project_6/cccl_upstream/examples/thrust_flexible_device_system/example.cpp
EngineX CI 56fd68e7dd [INFRA] Import NVIDIA/CCCL upstream as optimization reference library
CCCL (CUDA C++ Core Libraries) provides:
- CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk)
- Thrust: high-level parallel algorithms (transform_reduce, sort, scan)
- libcudacxx: CUDA C++ standard library (atomics, barriers, memory)
- cudax: experimental features (memory resources, allocators)
- Tuning policies: per-SM hardware-specific algorithm parameters

Competition optimization vectors mapped to CCCL:
- Output TPS (83% weight): warp_reduce, block_reduce, device_topk
- Input TPS (14% weight): device_scan, block_load, prefetch
- Cache TPS (3% weight): prefix caching strategy patterns
- Memory (0.9 util): pooled/cached/buddy allocators

Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only)
License: Apache-2.0
2026-07-30 09:35:51 +00:00

51 lines
1.5 KiB
C++

/*
* SPDX-FileCopyrightText: Copyright (c) 2023-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <thrust/device_vector.h>
#include <thrust/reduce.h>
#include <iostream>
int main()
{
constexpr std::size_t N = 1000;
thrust::device_vector<int> data(N, 1);
const auto result = thrust::reduce(data.cbegin(), data.cend());
std::cout << "Sum: " << result << '\n';
if (result != N)
{
std::cerr << "Error: Expected sum of " << N << ", but got " << result << '\n';
return 1;
}
std::cout << "Detected device system: ";
#if THRUST_DEVICE_SYSTEM == THRUST_DEVICE_SYSTEM_CUDA
std::cout << "CUDA" << '\n';
#elif THRUST_DEVICE_SYSTEM == THRUST_DEVICE_SYSTEM_TBB
std::cout << "TBB" << '\n';
#elif THRUST_DEVICE_SYSTEM == THRUST_DEVICE_SYSTEM_OMP
std::cout << "OMP" << '\n';
#elif THRUST_DEVICE_SYSTEM == THRUST_DEVICE_SYSTEM_CPP
std::cout << "CPP" << '\n';
#endif
return 0;
}