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
63 lines
2.3 KiB
C++
63 lines
2.3 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___BIT_BITMASK_H
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#define _CUDA___BIT_BITMASK_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/__bit/shl.h>
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#include <cuda/std/__type_traits/conditional.h>
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#include <cuda/std/__type_traits/is_unsigned_integer.h>
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#include <cuda/std/limits>
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#if _CCCL_CUDA_COMPILATION() && !_CCCL_TILE_COMPILATION()
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# include <cuda/__ptx/instructions/bmsk.h>
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#endif // _CCCL_CUDA_COMPILATION() && !_CCCL_TILE_COMPILATION()
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#include <cuda/std/__cccl/prologue.h>
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_CCCL_BEGIN_NAMESPACE_CUDA
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template <typename _Tp = uint32_t>
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[[nodiscard]] _CCCL_API constexpr _Tp bitmask(int __start, int __width) noexcept
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{
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static_assert(::cuda::std::__cccl_is_unsigned_integer_v<_Tp>, "bitmask() requires unsigned integer types");
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[[maybe_unused]] constexpr auto __digits = ::cuda::std::numeric_limits<_Tp>::digits;
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_CCCL_ASSERT(__width >= 0 && __width <= __digits, "width out of range");
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_CCCL_ASSERT(__start >= 0 && __start <= __digits, "start position out of range");
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_CCCL_ASSERT(__start + __width <= __digits, "start position + width out of range");
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#if !_CCCL_TILE_COMPILATION() // error: asm statement is unsupported in tile code
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_CCCL_IF_NOT_CONSTEVAL_DEFAULT
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{
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if constexpr (sizeof(_Tp) <= sizeof(uint32_t))
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{
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NV_IF_TARGET(NV_PROVIDES_SM_70, (return ::cuda::ptx::bmsk_clamp(__start, __width);))
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}
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}
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#endif // !_CCCL_TILE_COMPILATION()
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return ::cuda::std::shl(static_cast<_Tp>(::cuda::std::shl(_Tp{1}, static_cast<unsigned>(__width)) - 1),
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static_cast<unsigned>(__start));
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}
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_CCCL_END_NAMESPACE_CUDA
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#include <cuda/std/__cccl/epilogue.h>
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#endif // _CUDA___BIT_BITMASK_H
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