Files
project_6/cccl_upstream/libcudacxx/include/cuda/__cmath/isqrt.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

81 lines
2.2 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___CMATH_ISQRT_H
#define _CUDA___CMATH_ISQRT_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/integral.h>
#include <cuda/std/__concepts/concept_macros.h>
#include <cuda/std/__type_traits/is_integer.h>
#include <cuda/std/__type_traits/is_signed.h>
#include <cuda/std/__type_traits/make_unsigned.h>
#include <cuda/std/__cccl/prologue.h>
_CCCL_BEGIN_NAMESPACE_CUDA
//! @brief Returns the square root of the given non-negative integer rounded down
//! @param __v The input number
//! @pre \p __v must be an integer type
//! @pre \p __v must be non-negative
//! @return The square root of \p __v rounded down
//! @warning If \p __v is negative, the behavior is undefined
_CCCL_TEMPLATE(class _Tp)
_CCCL_REQUIRES(::cuda::std::__cccl_is_integer_v<_Tp>)
[[nodiscard]] _CCCL_API constexpr _Tp isqrt(_Tp __v) noexcept
{
if constexpr (::cuda::std::is_signed_v<_Tp>)
{
_CCCL_ASSERT(__v >= _Tp{0}, "cuda::isqrt requires non-negative input");
}
if (__v <= 1)
{
return __v;
}
using _Up = ::cuda::std::make_unsigned_t<_Tp>;
_Up __uv = static_cast<_Up>(__v);
_Up __ret{};
_Up __bit = static_cast<_Up>(_Up{1} << ((::cuda::std::bit_width(__uv) - 1) & (~1)));
while (__bit != 0)
{
if (__uv >= __ret + __bit)
{
__uv -= __ret + __bit;
__ret = (__ret >> 1) + __bit;
}
else
{
__ret >>= 1;
}
__bit >>= 2;
}
return static_cast<_Tp>(__ret);
}
_CCCL_END_NAMESPACE_CUDA
#include <cuda/std/__cccl/epilogue.h>
#endif // _CUDA___CMATH_ISQRT_H