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
152 lines
5.0 KiB
C++
152 lines
5.0 KiB
C++
// -*- C++ -*-
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//===----------------------------------------------------------------------===//
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//
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// Part of the LLVM Project, 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) 2023 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#ifndef _CUDA___ATOMIC_ATOMIC_H
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#define _CUDA___ATOMIC_ATOMIC_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/__type_traits/copy_cv.h>
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#include <cuda/std/atomic>
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#include <cuda/std/__cccl/prologue.h>
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_CCCL_BEGIN_NAMESPACE_CUDA
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// atomic<T>
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template <class _Tp, thread_scope _Sco = thread_scope::thread_scope_system>
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struct atomic : public ::cuda::std::__atomic_impl<_Tp, _Sco>
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{
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using value_type = _Tp;
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_CCCL_HIDE_FROM_ABI constexpr atomic() noexcept = default;
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_CCCL_HOST_DEVICE_API constexpr atomic(_Tp __d) noexcept
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: ::cuda::std::__atomic_impl<_Tp, _Sco>(__d)
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{}
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atomic(const atomic&) = delete;
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atomic& operator=(const atomic&) = delete;
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atomic& operator=(const atomic&) volatile = delete;
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_CCCL_HOST_DEVICE_API inline _Tp operator=(_Tp __d) volatile noexcept
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{
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this->store(__d);
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return __d;
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}
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_CCCL_HOST_DEVICE_API inline _Tp operator=(_Tp __d) noexcept
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{
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this->store(__d);
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return __d;
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}
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_CCCL_HOST_DEVICE_API inline _Tp fetch_max(const _Tp& __op, memory_order __m = memory_order_seq_cst) noexcept
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{
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return ::cuda::std::__atomic_fetch_max_dispatch(&this->__a, __op, __m, ::cuda::std::__scope_to_tag<_Sco>{});
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}
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_CCCL_HOST_DEVICE_API inline _Tp fetch_max(const _Tp& __op, memory_order __m = memory_order_seq_cst) volatile noexcept
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{
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return ::cuda::std::__atomic_fetch_max_dispatch(&this->__a, __op, __m, ::cuda::std::__scope_to_tag<_Sco>{});
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}
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_CCCL_HOST_DEVICE_API inline _Tp fetch_min(const _Tp& __op, memory_order __m = memory_order_seq_cst) noexcept
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{
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return ::cuda::std::__atomic_fetch_min_dispatch(&this->__a, __op, __m, ::cuda::std::__scope_to_tag<_Sco>{});
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}
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_CCCL_HOST_DEVICE_API inline _Tp fetch_min(const _Tp& __op, memory_order __m = memory_order_seq_cst) volatile noexcept
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{
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return ::cuda::std::__atomic_fetch_min_dispatch(&this->__a, __op, __m, ::cuda::std::__scope_to_tag<_Sco>{});
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}
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};
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// atomic_ref<T>
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template <class _Tp, thread_scope _Sco = thread_scope::thread_scope_system>
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struct atomic_ref : public ::cuda::std::__atomic_ref_impl<_Tp, _Sco>
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{
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using value_type = _Tp;
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static constexpr size_t required_alignment = sizeof(_Tp);
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static constexpr bool is_always_lock_free = sizeof(_Tp) <= 8;
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_CCCL_HOST_DEVICE_API explicit constexpr atomic_ref(_Tp& __ref)
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: ::cuda::std::__atomic_ref_impl<_Tp, _Sco>(__ref)
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{}
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_CCCL_HOST_DEVICE_API inline _Tp operator=(_Tp __v) const noexcept
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{
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this->store(__v);
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return __v;
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}
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[[nodiscard]] _CCCL_HOST_DEVICE_API constexpr ::cuda::std::__copy_cv_t<_Tp, void>* address() const noexcept
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{
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return this->__a.get();
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}
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_CCCL_HIDE_FROM_ABI atomic_ref(const atomic_ref&) noexcept = default;
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atomic_ref& operator=(const atomic_ref&) = delete;
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atomic_ref& operator=(const atomic_ref&) const = delete;
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_CCCL_HOST_DEVICE_API inline _Tp fetch_max(const _Tp& __op, memory_order __m = memory_order_seq_cst) const noexcept
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{
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return ::cuda::std::__atomic_fetch_max_dispatch(&this->__a, __op, __m, ::cuda::std::__scope_to_tag<_Sco>{});
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}
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_CCCL_HOST_DEVICE_API inline _Tp fetch_min(const _Tp& __op, memory_order __m = memory_order_seq_cst) const noexcept
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{
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return ::cuda::std::__atomic_fetch_min_dispatch(&this->__a, __op, __m, ::cuda::std::__scope_to_tag<_Sco>{});
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}
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};
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_CCCL_HOST_DEVICE_API inline void
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atomic_thread_fence(memory_order __m, [[maybe_unused]] thread_scope _Scope = thread_scope::thread_scope_system)
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{
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NV_DISPATCH_TARGET(
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NV_IS_DEVICE,
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(switch (_Scope) {
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case thread_scope::thread_scope_system:
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::cuda::std::__atomic_thread_fence_cuda((int) __m, __thread_scope_system_tag{});
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break;
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case thread_scope::thread_scope_device:
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::cuda::std::__atomic_thread_fence_cuda((int) __m, __thread_scope_device_tag{});
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break;
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case thread_scope::thread_scope_block:
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::cuda::std::__atomic_thread_fence_cuda((int) __m, __thread_scope_block_tag{});
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break;
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// Atomics scoped to themselves do not require fencing
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case thread_scope::thread_scope_thread:
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break;
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}),
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NV_IS_HOST,
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(::cuda::std::atomic_thread_fence(__m);))
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}
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_CCCL_HOST_DEVICE_API inline void atomic_signal_fence(memory_order __m)
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{
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::cuda::std::atomic_signal_fence(__m);
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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___ATOMIC_ATOMIC_H
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