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
135 lines
4.5 KiB
C++
135 lines
4.5 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___CMATH_SINCOS_H
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#define _CUDA___CMATH_SINCOS_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/__cmath/trigonometric_functions.h>
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#include <cuda/std/__concepts/concept_macros.h>
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#include <cuda/std/__type_traits/conditional.h>
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#include <cuda/std/__type_traits/is_extended_arithmetic.h>
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#include <cuda/std/__type_traits/is_integral.h>
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#include <cuda/std/__type_traits/is_same.h>
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#include <cuda/std/__cccl/prologue.h>
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#if _CCCL_HAS_BUILTIN(__builtin_sincosf) || _CCCL_COMPILER(GCC)
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# define _CCCL_BUILTIN_SINCOSF(...) __builtin_sincosf(__VA_ARGS__)
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#endif // _CCCL_HAS_BUILTIN(__builtin_sincosf) || _CCCL_COMPILER(GCC)
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#if _CCCL_HAS_BUILTIN(__builtin_sincos) || _CCCL_COMPILER(GCC)
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# define _CCCL_BUILTIN_SINCOS(...) __builtin_sincos(__VA_ARGS__)
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#endif // _CCCL_HAS_BUILTIN(__builtin_sincos) || _CCCL_COMPILER(GCC)
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#if _CCCL_HAS_BUILTIN(__builtin_sincosl) || _CCCL_COMPILER(GCC)
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# define _CCCL_BUILTIN_SINCOSL(...) __builtin_sincosl(__VA_ARGS__)
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#endif // _CCCL_HAS_BUILTIN(__builtin_sincosl) || _CCCL_COMPILER(GCC)
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// clang-cuda crashes if these builtins are used.
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#if _CCCL_CUDA_COMPILER(CLANG)
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# undef _CCCL_BUILTIN_SINCOSF
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# undef _CCCL_BUILTIN_SINCOS
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# undef _CCCL_BUILTIN_SINCOSL
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#endif // _CCCL_CUDA_COMPILER(CLANG)
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_CCCL_BEGIN_NAMESPACE_CUDA
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//! @brief Type returned by \c cuda::sincos.
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template <class _Tp>
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struct _CCCL_TYPE_VISIBILITY_DEFAULT sincos_result
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{
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_Tp sin; //!< The sin result.
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_Tp cos; //!< The cos result.
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};
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//! @brief Computes sin and cos operation of a value.
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//!
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//! @param __v The value.
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//!
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//! @return The \c cuda::sincos_result with the results of sin and cos operations.
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_CCCL_TEMPLATE(class _Tp)
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_CCCL_REQUIRES(::cuda::std::__is_extended_arithmetic_v<_Tp>)
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[[nodiscard]] _CCCL_API auto sincos(_Tp __v) noexcept
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-> sincos_result<::cuda::std::conditional_t<::cuda::std::is_integral_v<_Tp>, double, _Tp>>
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{
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if constexpr (::cuda::std::is_integral_v<_Tp>)
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{
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return ::cuda::sincos(static_cast<double>(__v));
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}
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else
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{
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[[maybe_unused]] sincos_result<_Tp> __ret{};
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#if defined(_CCCL_BUILTIN_SINCOSF)
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if constexpr (::cuda::std::is_same_v<_Tp, float>)
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{
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_CCCL_BUILTIN_SINCOSF(__v, &__ret.sin, &__ret.cos);
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return __ret;
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}
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#endif // _CCCL_BUILTIN_SINCOSF
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#if defined(_CCCL_BUILTIN_SINCOS)
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if constexpr (::cuda::std::is_same_v<_Tp, double>)
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{
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_CCCL_BUILTIN_SINCOS(__v, &__ret.sin, &__ret.cos);
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return __ret;
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}
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#endif // _CCCL_BUILTIN_SINCOS
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#if _CCCL_HAS_LONG_DOUBLE() && defined(_CCCL_BUILTIN_SINCOSL)
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if constexpr (::cuda::std::is_same_v<_Tp, long double>)
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{
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_CCCL_BUILTIN_SINCOSL(__v, &__ret.sin, &__ret.cos);
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return __ret;
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}
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#endif // _CCCL_HAS_LONG_DOUBLE() && _CCCL_BUILTIN_SINCOSL
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_CCCL_IF_NOT_CONSTEVAL_DEFAULT
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{
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if constexpr (::cuda::std::is_same_v<_Tp, float>)
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{
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NV_IF_TARGET(NV_IS_DEVICE, (::sincosf(__v, &__ret.sin, &__ret.cos); return __ret;))
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}
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if constexpr (::cuda::std::is_same_v<_Tp, double>)
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{
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NV_IF_TARGET(NV_IS_DEVICE, (::sincos(__v, &__ret.sin, &__ret.cos); return __ret;))
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}
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#if _LIBCUDACXX_HAS_NVFP16()
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if constexpr (::cuda::std::is_same_v<_Tp, ::__half>)
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{
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const auto __result_float = ::cuda::sincos(::__half2float(__v));
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return {::__float2half(__result_float.sin), ::__float2half(__result_float.cos)};
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}
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#endif // _LIBCUDACXX_HAS_NVFP16()
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#if _LIBCUDACXX_HAS_NVBF16()
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if constexpr (::cuda::std::is_same_v<_Tp, ::__nv_bfloat16>)
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{
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const auto __result_float = ::cuda::sincos(::__bfloat162float(__v));
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return {::__float2bfloat16(__result_float.sin), ::__float2bfloat16(__result_float.cos)};
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}
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#endif // _LIBCUDACXX_HAS_NVBF16()
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}
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return {::cuda::std::sin(__v), ::cuda::std::cos(__v)};
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}
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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___CMATH_SINCOS_H
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