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
83 lines
2.6 KiB
Plaintext
83 lines
2.6 KiB
Plaintext
// SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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#pragma once
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#include <cub/config.cuh>
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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 <cub/detail/choose_offset.cuh>
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#include <cuda/__argument/argument.h>
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#include <cuda/std/__type_traits/is_same.h>
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#include <cuda/std/__utility/declval.h>
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CUB_NAMESPACE_BEGIN
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namespace detail
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{
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#if !_CCCL_COMPILER(NVRTC)
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// Preserve deferred problem sizes for dispatch and canonicalize immediate values to CUB's offset type.
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template <typename NumItemsT>
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[[nodiscard]] CUB_RUNTIME_FUNCTION _CCCL_FORCEINLINE auto make_num_items_dispatch_arg(NumItemsT num_items) noexcept
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{
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using args_traits_t = ::cuda::args::__traits<NumItemsT>;
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if constexpr (args_traits_t::is_deferred)
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{
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return num_items;
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}
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else
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{
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using offset_t = choose_offset_t<typename args_traits_t::element_type>;
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return static_cast<offset_t>(::cuda::args::__unwrap(num_items));
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}
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}
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// Forms a kernel parameter from a single-value argument without reading a deferred source.
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// Immediate values are converted to TargetT. Deferred arguments are unwrapped to their source, erasing bounds from
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// the kernel type and payload.
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template <typename TargetT, typename ParameterT>
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[[nodiscard]] CUB_RUNTIME_FUNCTION _CCCL_FORCEINLINE constexpr auto parameter_from_host(ParameterT parameter) noexcept
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{
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using args_traits_t = ::cuda::args::__traits<ParameterT>;
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static_assert(args_traits_t::is_single_value, "parameter must contain a single value");
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if constexpr (args_traits_t::is_deferred)
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{
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return ::cuda::args::__unwrap(parameter);
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}
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else
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{
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return static_cast<TargetT>(::cuda::args::__unwrap(parameter));
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}
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}
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template <typename TargetT, typename ParameterT>
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using parameter_from_host_t = decltype(parameter_from_host<TargetT>(::cuda::std::declval<ParameterT>()));
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#endif // !_CCCL_COMPILER(NVRTC)
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// Forms a value from a kernel parameter, reading element zero when the parameter is a deferred source.
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template <typename TargetT, typename ParameterT>
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[[nodiscard]] _CCCL_DEVICE_API _CCCL_FORCEINLINE TargetT parameter_from_device(ParameterT parameter) noexcept
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{
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if constexpr (::cuda::std::is_same_v<ParameterT, TargetT>)
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{
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return parameter;
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}
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else
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{
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return static_cast<TargetT>(parameter[0]);
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}
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}
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} // namespace detail
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CUB_NAMESPACE_END
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