Files
project_6/cccl_upstream/libcudacxx/test/support/Counter.h
EngineX CI 56fd68e7dd [INFRA] Import NVIDIA/CCCL upstream as optimization reference library
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
2026-07-30 09:35:51 +00:00

97 lines
1.6 KiB
C++

//===----------------------------------------------------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#ifndef COUNTER_H
#define COUNTER_H
#include <functional> // for std::hash
#include "test_macros.h"
struct Counter_base
{
static int gConstructed;
};
template <typename T>
class Counter : public Counter_base
{
public:
Counter()
: data_()
{
++gConstructed;
}
Counter(const T& data)
: data_(data)
{
++gConstructed;
}
Counter(const Counter& rhs)
: data_(rhs.data_)
{
++gConstructed;
}
Counter& operator=(const Counter& rhs)
{
data_ = rhs.data_;
return *this;
}
Counter(Counter&& rhs)
: data_(std::move(rhs.data_))
{
++gConstructed;
}
Counter& operator=(Counter&& rhs)
{
++gConstructed;
data_ = std::move(rhs.data_);
return *this;
}
~Counter()
{
--gConstructed;
}
const T& get() const
{
return data_;
}
bool operator==(const Counter& x) const
{
return data_ == x.data_;
}
bool operator<(const Counter& x) const
{
return data_ < x.data_;
}
private:
T data_;
};
int Counter_base::gConstructed = 0;
namespace std
{
template <class T>
struct hash<Counter<T>>
{
using argument_type = Counter<T>;
using result_type = std::size_t;
std::size_t operator()(const Counter<T>& x) const
{
return std::hash<T>()(x.get());
}
};
} // namespace std
#endif