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
89 lines
2.7 KiB
C++
89 lines
2.7 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) 2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#ifndef HEADER_H
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#define HEADER_H
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#include <string>
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inline void FormatHeader(std::ostream& out)
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{
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constexpr auto header = R"XXX(//===----------------------------------------------------------------------===//
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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) 2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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// This is an autogenerated file, we want to ensure that it contains exactly the contents we want to generate
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// clang-format off
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#ifndef _CUDA_STD___ATOMIC_FUNCTIONS_CUDA_PTX_GENERATED_H
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#define _CUDA_STD___ATOMIC_FUNCTIONS_CUDA_PTX_GENERATED_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/cassert>
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#include <cuda/std/cstdint>
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#include <cuda/std/__type_traits/enable_if.h>
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#include <cuda/std/__type_traits/is_signed.h>
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#include <cuda/std/__type_traits/is_unsigned.h>
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#include <cuda/std/__atomic/scopes.h>
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#include <cuda/std/__atomic/order.h>
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#include <cuda/std/__atomic/functions/common.h>
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#include <cuda/std/__atomic/functions/cuda_ptx_generated_helper.h>
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#include <cuda/std/__atomic/functions/cuda_local.h>
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#include <cuda/std/__cccl/prologue.h>
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_CCCL_BEGIN_NAMESPACE_CUDA_STD
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#if _CCCL_CUDA_COMPILATION()
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extern "C" _CCCL_DEVICE void __atomic_cas_128b_unsupported_before_SM_90();
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extern "C" _CCCL_DEVICE void __atomic_exchange_128b_unsupported_before_SM_90();
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extern "C" _CCCL_DEVICE void __atomic_ldst_128b_unsupported_before_SM_70();
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)XXX";
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out << header;
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}
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inline void FormatTail(std::ostream& out)
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{
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constexpr auto tail = R"XXX(
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#endif // _CCCL_CUDA_COMPILATION()
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_CCCL_END_NAMESPACE_CUDA_STD
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#include <cuda/std/__cccl/epilogue.h>
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#endif // _CUDA_STD___ATOMIC_FUNCTIONS_CUDA_PTX_GENERATED_H
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// clang-format on
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)XXX";
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out << tail;
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}
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#endif // HEADER_H
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