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project_6_89d52222/cccl_upstream/cub/cub/warp/warp_utils.cuh
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

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// SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: BSD-3-Clause
#pragma once
#include <cub/config.cuh>
#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/__cmath/pow2.h>
#include <cuda/__ptx/instructions/get_sreg.h>
#include <cuda/std/__type_traits/integral_constant.h>
CUB_NAMESPACE_BEGIN
namespace detail
{
template <int LogicalWarpSize>
inline constexpr bool is_valid_logical_warp_size_v = LogicalWarpSize >= 1 && LogicalWarpSize <= detail::warp_threads;
template <int LogicalWarpSize>
[[nodiscard]] _CCCL_DEVICE
_CCCL_FORCEINLINE int logical_lane_id(::cuda::std::integral_constant<int, LogicalWarpSize> = {})
{
static_assert(is_valid_logical_warp_size_v<LogicalWarpSize>, "invalid logical warp size");
auto lane = ::cuda::ptx::get_sreg_laneid();
constexpr bool is_full_warp = LogicalWarpSize == detail::warp_threads;
constexpr auto is_single_logical_warp = is_full_warp || !::cuda::is_power_of_two(LogicalWarpSize);
auto logical_lane =
static_cast<int>(is_single_logical_warp ? lane : (LogicalWarpSize == 1 ? 0 : lane % LogicalWarpSize));
_CCCL_ASSUME(logical_lane >= 0 && logical_lane < LogicalWarpSize);
return logical_lane;
}
template <int LogicalWarpSize>
[[nodiscard]] _CCCL_DEVICE
_CCCL_FORCEINLINE int logical_warp_id(::cuda::std::integral_constant<int, LogicalWarpSize> = {})
{
static_assert(is_valid_logical_warp_size_v<LogicalWarpSize>, "invalid logical warp size");
auto lane = ::cuda::ptx::get_sreg_laneid();
constexpr bool is_full_warp = LogicalWarpSize == detail::warp_threads;
constexpr auto is_single_logical_warp = is_full_warp || !::cuda::is_power_of_two(LogicalWarpSize);
auto logical_warp_id = static_cast<int>(is_single_logical_warp ? 0 : lane / LogicalWarpSize);
_CCCL_ASSUME(logical_warp_id >= 0 && logical_warp_id < detail::warp_threads / LogicalWarpSize);
return logical_warp_id;
}
template <int LogicalWarpSize>
[[nodiscard]] _CCCL_DEVICE _CCCL_FORCEINLINE int
logical_warp_base_id(::cuda::std::integral_constant<int, LogicalWarpSize> logical_warp_size = {})
{
return cub::detail::logical_warp_id(logical_warp_size) * LogicalWarpSize;
}
} // namespace detail
CUB_NAMESPACE_END