Files
project_6/cccl_upstream/libcudacxx/include/cuda/__bit/bitmask.h
EngineX CI 56fd68e7dd [INFRA] Import NVIDIA/CCCL upstream as optimization reference library
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
2026-07-30 09:35:51 +00:00

63 lines
2.3 KiB
C++

//===----------------------------------------------------------------------===//
//
// Part of libcu++, the C++ Standard Library for your entire system,
// under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#ifndef _CUDA___BIT_BITMASK_H
#define _CUDA___BIT_BITMASK_H
#include <cuda/std/detail/__config>
#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
# pragma GCC system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
# pragma clang system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
# pragma system_header
#endif // no system header
#include <cuda/std/__bit/shl.h>
#include <cuda/std/__type_traits/conditional.h>
#include <cuda/std/__type_traits/is_unsigned_integer.h>
#include <cuda/std/limits>
#if _CCCL_CUDA_COMPILATION() && !_CCCL_TILE_COMPILATION()
# include <cuda/__ptx/instructions/bmsk.h>
#endif // _CCCL_CUDA_COMPILATION() && !_CCCL_TILE_COMPILATION()
#include <cuda/std/__cccl/prologue.h>
_CCCL_BEGIN_NAMESPACE_CUDA
template <typename _Tp = uint32_t>
[[nodiscard]] _CCCL_API constexpr _Tp bitmask(int __start, int __width) noexcept
{
static_assert(::cuda::std::__cccl_is_unsigned_integer_v<_Tp>, "bitmask() requires unsigned integer types");
[[maybe_unused]] constexpr auto __digits = ::cuda::std::numeric_limits<_Tp>::digits;
_CCCL_ASSERT(__width >= 0 && __width <= __digits, "width out of range");
_CCCL_ASSERT(__start >= 0 && __start <= __digits, "start position out of range");
_CCCL_ASSERT(__start + __width <= __digits, "start position + width out of range");
#if !_CCCL_TILE_COMPILATION() // error: asm statement is unsupported in tile code
_CCCL_IF_NOT_CONSTEVAL_DEFAULT
{
if constexpr (sizeof(_Tp) <= sizeof(uint32_t))
{
NV_IF_TARGET(NV_PROVIDES_SM_70, (return ::cuda::ptx::bmsk_clamp(__start, __width);))
}
}
#endif // !_CCCL_TILE_COMPILATION()
return ::cuda::std::shl(static_cast<_Tp>(::cuda::std::shl(_Tp{1}, static_cast<unsigned>(__width)) - 1),
static_cast<unsigned>(__start));
}
_CCCL_END_NAMESPACE_CUDA
#include <cuda/std/__cccl/epilogue.h>
#endif // _CUDA___BIT_BITMASK_H