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
42 lines
1.0 KiB
C++
42 lines
1.0 KiB
C++
// SPDX-FileCopyrightText: Copyright (c) 2018, 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/config/memory_resource.h>
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#include <thrust/mr/memory_resource.h>
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#include <cuda/std/__type_traits/is_base_of.h>
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THRUST_NAMESPACE_BEGIN
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namespace mr
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{
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template <typename MR>
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struct validator
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{
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static_assert(::cuda::std::is_base_of_v<memory_resource<typename MR::pointer>, MR>,
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"a type used as a memory resource must derive from memory_resource");
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};
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template <typename T, typename U>
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struct validator2
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: private validator<T>
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, private validator<U>
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{};
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template <typename T>
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struct validator2<T, T> : private validator<T>
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{};
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} // namespace mr
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THRUST_NAMESPACE_END
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