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
97 lines
1.6 KiB
C++
97 lines
1.6 KiB
C++
//===----------------------------------------------------------------------===//
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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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//
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//===----------------------------------------------------------------------===//
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#ifndef COUNTER_H
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#define COUNTER_H
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#include <functional> // for std::hash
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#include "test_macros.h"
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struct Counter_base
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{
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static int gConstructed;
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};
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template <typename T>
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class Counter : public Counter_base
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{
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public:
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Counter()
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: data_()
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{
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++gConstructed;
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}
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Counter(const T& data)
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: data_(data)
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{
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++gConstructed;
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}
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Counter(const Counter& rhs)
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: data_(rhs.data_)
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{
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++gConstructed;
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}
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Counter& operator=(const Counter& rhs)
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{
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data_ = rhs.data_;
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return *this;
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}
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Counter(Counter&& rhs)
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: data_(std::move(rhs.data_))
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{
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++gConstructed;
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}
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Counter& operator=(Counter&& rhs)
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{
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++gConstructed;
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data_ = std::move(rhs.data_);
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return *this;
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}
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~Counter()
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{
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--gConstructed;
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}
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const T& get() const
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{
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return data_;
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}
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bool operator==(const Counter& x) const
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{
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return data_ == x.data_;
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}
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bool operator<(const Counter& x) const
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{
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return data_ < x.data_;
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}
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private:
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T data_;
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};
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int Counter_base::gConstructed = 0;
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namespace std
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{
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template <class T>
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struct hash<Counter<T>>
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{
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using argument_type = Counter<T>;
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using result_type = std::size_t;
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std::size_t operator()(const Counter<T>& x) const
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{
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return std::hash<T>()(x.get());
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}
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};
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} // namespace std
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#endif
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