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
37 lines
974 B
C++
37 lines
974 B
C++
// SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA Corporation. All rights reserved.
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// SPDX-License-Identifier: Apache-2.0
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#pragma once
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#include <thrust/detail/config.h>
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#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
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# pragma GCC system_header
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#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
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# pragma clang system_header
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#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
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# pragma system_header
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#endif // no system header
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#include <thrust/detail/raw_reference_cast.h>
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THRUST_NAMESPACE_BEGIN
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namespace detail
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{
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template <typename Function, typename Result>
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struct wrapped_function
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{
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// mutable because Function::operator() might be const
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mutable Function m_f;
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_CCCL_EXEC_CHECK_DISABLE
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template <typename... Ts>
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inline _CCCL_HOST_DEVICE Result operator()(Ts&&... args) const
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{
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return static_cast<Result>(m_f(thrust::raw_reference_cast(::cuda::std::forward<Ts>(args))...));
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}
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}; // end wrapped_function
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} // namespace detail
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THRUST_NAMESPACE_END
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