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
76 lines
2.4 KiB
C++
76 lines
2.4 KiB
C++
//===----------------------------------------------------------------------===//
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//
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// Part of libcu++, the C++ Standard Library for your entire system,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#ifndef __CUDA___EXECUTION_REQUIRE_H
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#define __CUDA___EXECUTION_REQUIRE_H
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#include <cuda/std/detail/__config>
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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 <cuda/std/__concepts/concept_macros.h>
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#include <cuda/std/__execution/env.h>
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#include <cuda/std/__type_traits/is_base_of.h>
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#include <cuda/std/__type_traits/is_empty.h>
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#include <cuda/std/__cccl/prologue.h>
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_CCCL_BEGIN_NAMESPACE_CUDA_EXECUTION
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class __requirement
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{};
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struct __get_requirements_t
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{
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_CCCL_EXEC_CHECK_DISABLE
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_CCCL_TEMPLATE(class _Env)
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_CCCL_REQUIRES(::cuda::std::execution::__queryable_with<_Env, __get_requirements_t>)
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[[nodiscard]] _CCCL_NODEBUG_API constexpr auto operator()(const _Env& __env) const noexcept
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{
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static_assert(noexcept(__env.query(*this)));
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return __env.query(*this);
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}
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[[nodiscard]]
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_CCCL_NODEBUG_API static constexpr auto query(::cuda::std::execution::forwarding_query_t) noexcept -> bool
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{
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return true;
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}
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};
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_CCCL_GLOBAL_CONSTANT auto __get_requirements = __get_requirements_t{};
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template <class... _Requirements>
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[[nodiscard]] _CCCL_NODEBUG_API auto require(_Requirements...)
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{
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static_assert((::cuda::std::is_base_of_v<__requirement, _Requirements> && ...),
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"Only requirements can be passed to require");
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static_assert((::cuda::std::is_empty_v<_Requirements> && ...), "Stateful requirements are not implemented");
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// clang < 19 doesn't like this code
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// since the only requirements we currently allow are in determinism.h and
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// all of them are stateless, let's ignore incoming parameters
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::cuda::std::execution::env<_Requirements...> __env{};
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return ::cuda::std::execution::prop{__get_requirements_t{}, __env};
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}
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_CCCL_END_NAMESPACE_CUDA_EXECUTION
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#include <cuda/std/__cccl/epilogue.h>
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#endif // __CUDA___EXECUTION_REQUIRE_H
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