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project_6/cccl_upstream/cudax/include/cuda/experimental/execution.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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//===----------------------------------------------------------------------===//
//
// Part of CUDA Experimental in CUDA C++ Core Libraries,
// 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 __CUDAX_EXECUTION__
#define __CUDAX_EXECUTION__
// IWYU pragma: begin_exports
#include <cuda/experimental/__execution/apply_sender.cuh>
#include <cuda/experimental/__execution/bulk.cuh>
#include <cuda/experimental/__execution/completion_behavior.cuh>
#include <cuda/experimental/__execution/completion_signatures.cuh>
#include <cuda/experimental/__execution/conditional.cuh>
#include <cuda/experimental/__execution/continues_on.cuh>
#include <cuda/experimental/__execution/cpos.cuh>
#include <cuda/experimental/__execution/domain.cuh>
#include <cuda/experimental/__execution/env.cuh>
#include <cuda/experimental/__execution/get_completion_signatures.cuh>
#include <cuda/experimental/__execution/inline_scheduler.cuh>
#include <cuda/experimental/__execution/just.cuh>
#include <cuda/experimental/__execution/just_from.cuh>
#include <cuda/experimental/__execution/let_value.cuh>
#include <cuda/experimental/__execution/on.cuh>
#include <cuda/experimental/__execution/policy.cuh>
#include <cuda/experimental/__execution/queries.cuh>
#include <cuda/experimental/__execution/read_env.cuh>
#include <cuda/experimental/__execution/run_loop.cuh>
#include <cuda/experimental/__execution/sequence.cuh>
#include <cuda/experimental/__execution/start_detached.cuh>
#include <cuda/experimental/__execution/starts_on.cuh>
#include <cuda/experimental/__execution/stop_token.cuh>
#include <cuda/experimental/__execution/stream_context.cuh>
#include <cuda/experimental/__execution/sync_wait.cuh>
#include <cuda/experimental/__execution/task_scheduler.cuh>
#include <cuda/experimental/__execution/then.cuh>
#include <cuda/experimental/__execution/thread_context.cuh>
#include <cuda/experimental/__execution/trampoline_scheduler.cuh>
#include <cuda/experimental/__execution/transform_completion_signatures.cuh>
#include <cuda/experimental/__execution/transform_sender.cuh>
#include <cuda/experimental/__execution/visit.cuh>
#include <cuda/experimental/__execution/when_all.cuh>
#include <cuda/experimental/__execution/write_attrs.cuh>
#include <cuda/experimental/__execution/write_env.cuh>
// IWYU pragma: end_exports
#endif // __CUDAX_EXECUTION__