Files
project_6/cccl_upstream/libcudacxx/include/cuda/__execution/determinism.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

90 lines
2.6 KiB
C++

//===----------------------------------------------------------------------===//
//
// Part of libcu++, the C++ Standard Library for your entire system,
// 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
// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#ifndef __CUDA___EXECUTION_DETERMINISM_H
#define __CUDA___EXECUTION_DETERMINISM_H
#include <cuda/std/detail/__config>
#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
# pragma GCC system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
# pragma clang system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
# pragma system_header
#endif // no system header
#include <cuda/__execution/require.h>
#include <cuda/std/__concepts/concept_macros.h>
#include <cuda/std/__execution/env.h>
#include <cuda/std/__type_traits/is_one_of.h>
#include <cuda/std/__cccl/prologue.h>
_CCCL_BEGIN_NAMESPACE_CUDA_EXECUTION
namespace determinism
{
struct __get_determinism_t;
enum class __determinism_t
{
__not_guaranteed,
__run_to_run,
__gpu_to_gpu
};
template <__determinism_t _Guarantee>
struct __determinism_holder_t : __requirement
{
static constexpr __determinism_t value = _Guarantee;
[[nodiscard]] _CCCL_NODEBUG_API constexpr auto query(const __get_determinism_t&) const noexcept
-> __determinism_holder_t<_Guarantee>
{
return *this;
}
};
using gpu_to_gpu_t = __determinism_holder_t<__determinism_t::__gpu_to_gpu>;
using run_to_run_t = __determinism_holder_t<__determinism_t::__run_to_run>;
using not_guaranteed_t = __determinism_holder_t<__determinism_t::__not_guaranteed>;
_CCCL_GLOBAL_CONSTANT gpu_to_gpu_t gpu_to_gpu{};
_CCCL_GLOBAL_CONSTANT run_to_run_t run_to_run{};
_CCCL_GLOBAL_CONSTANT not_guaranteed_t not_guaranteed{};
struct __get_determinism_t
{
_CCCL_EXEC_CHECK_DISABLE
_CCCL_TEMPLATE(class _Env)
_CCCL_REQUIRES(::cuda::std::execution::__queryable_with<_Env, __get_determinism_t>)
[[nodiscard]] _CCCL_NODEBUG_API constexpr auto operator()(const _Env& __env) const noexcept
{
static_assert(noexcept(__env.query(*this)));
return __env.query(*this);
}
[[nodiscard]]
_CCCL_NODEBUG_API static constexpr auto query(::cuda::std::execution::forwarding_query_t) noexcept -> bool
{
return true;
}
};
_CCCL_GLOBAL_CONSTANT auto __get_determinism = __get_determinism_t{};
} // namespace determinism
_CCCL_END_NAMESPACE_CUDA_EXECUTION
#include <cuda/std/__cccl/epilogue.h>
#endif // __CUDA___EXECUTION_DETERMINISM_H