56fd68e7dd
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
35 lines
1.1 KiB
Plaintext
35 lines
1.1 KiB
Plaintext
/*
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* Copyright 2022 NVIDIA Corporation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <cub/detail/detect_cuda_runtime.cuh>
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#include <cstdlib>
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int main()
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{
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// This test just checks that RDC is enabled and detected properly when using
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// the %PARAM% system to request CDP support (see the README.md file in
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// this directory).
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// %PARAM% TEST_LAUNCH lid 0:1:2
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#ifdef CUB_RDC_ENABLED
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return (TEST_LAUNCH == 1) ? EXIT_SUCCESS : EXIT_FAILURE;
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#else
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return (TEST_LAUNCH == 0 || TEST_LAUNCH == 2) ? EXIT_SUCCESS : EXIT_FAILURE;
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#endif
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}
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