Files
project_6/cccl_upstream/libcudacxx/include/cuda/__functional/maximum.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

78 lines
2.4 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_FUNCTIONAL_MAXIMUM_H
#define _CUDA_FUNCTIONAL_MAXIMUM_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/__functional/minimum_maximum_common.h>
#include <cuda/std/__cmath/min_max.h>
#include <cuda/std/__type_traits/common_type.h>
#include <cuda/std/__type_traits/is_extended_floating_point.h>
#include <cuda/std/__type_traits/is_floating_point.h>
#include <cuda/std/__utility/ctad_support.h>
#include <cuda/std/__cccl/prologue.h>
_CCCL_BEGIN_NAMESPACE_CUDA
template <class _Tp = void>
struct _CCCL_TYPE_VISIBILITY_DEFAULT maximum
{
_CCCL_EXEC_CHECK_DISABLE
[[nodiscard]] _CCCL_API constexpr _Tp operator()(const _Tp& __lhs, const _Tp& __rhs) const
noexcept(__is_maximum_minimum_noexcept_v<_Tp, _Tp, _Tp>)
{
if constexpr (::cuda::std::is_floating_point_v<_Tp> || ::cuda::std::__is_extended_floating_point_v<_Tp>)
{
return ::cuda::std::fmax(__lhs, __rhs);
}
else
{
return (__lhs < __rhs) ? __rhs : __lhs;
}
}
};
_CCCL_CTAD_SUPPORTED_FOR_TYPE(maximum);
template <>
struct _CCCL_TYPE_VISIBILITY_DEFAULT maximum<void>
{
_CCCL_EXEC_CHECK_DISABLE
template <class Tp, class Up, class _Common = ::cuda::std::common_type_t<Tp, Up>>
[[nodiscard]] _CCCL_API constexpr _Common operator()(const Tp& __lhs, const Up& __rhs) const
noexcept(__is_maximum_minimum_noexcept_v<Tp, Up, _Common>)
{
if constexpr (::cuda::std::is_floating_point_v<_Common> || ::cuda::std::__is_extended_floating_point_v<_Common>)
{
return ::cuda::std::fmax(static_cast<_Common>(__lhs), static_cast<_Common>(__rhs));
}
else
{
return (__lhs < __rhs) ? __rhs : __lhs;
}
}
};
_CCCL_END_NAMESPACE_CUDA
#include <cuda/std/__cccl/epilogue.h>
#endif // _CUDA_FUNCTIONAL_MAXIMUM_H