[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
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107
cccl_upstream/cudax/test/execution/common/dummy_scheduler.cuh
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107
cccl_upstream/cudax/test/execution/common/dummy_scheduler.cuh
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//===----------------------------------------------------------------------===//
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//
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// Part of CUDA Experimental in CUDA C++ Core Libraries,
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// 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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// SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#pragma once
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#include <cuda/__utility/immovable.h>
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#include <cuda/experimental/execution.cuh>
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#include "testing.cuh" // IWYU pragma: keep
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namespace ex = cuda::experimental::execution;
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namespace
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{
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namespace _dummy
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{
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template <class Domain>
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struct _attrs_t
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{
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_CCCL_HOST_DEVICE constexpr auto query(ex::get_completion_scheduler_t<ex::set_value_t>) const noexcept;
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_CCCL_HOST_DEVICE constexpr auto query(ex::get_completion_domain_t<ex::set_value_t>) const noexcept
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{
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return Domain{};
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}
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};
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template <class Rcvr>
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struct _opstate_t : cuda::__immovable
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{
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using operation_state_concept = ex::operation_state_t;
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_CCCL_HOST_DEVICE constexpr _opstate_t(Rcvr rcvr) noexcept
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: _rcvr(static_cast<Rcvr&&>(rcvr))
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{}
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_CCCL_HOST_DEVICE constexpr void start() noexcept
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{
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ex::set_value(static_cast<Rcvr&&>(_rcvr));
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}
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Rcvr _rcvr;
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};
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template <class Domain>
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struct _sndr_t
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{
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using sender_concept = ex::sender_t;
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template <class Self>
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_CCCL_HOST_DEVICE static _CCCL_CONSTEVAL auto get_completion_signatures() noexcept
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{
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return ex::completion_signatures<ex::set_value_t()>();
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}
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template <class Rcvr>
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_CCCL_HOST_DEVICE constexpr auto connect(Rcvr rcvr) const noexcept -> _opstate_t<Rcvr>
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{
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return _opstate_t<Rcvr>(static_cast<Rcvr&&>(rcvr));
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}
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[[nodiscard]] _CCCL_HOST_DEVICE constexpr auto get_env() const noexcept
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{
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return _attrs_t<Domain>{};
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}
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};
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} // namespace _dummy
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//! Scheduler that returns a sender that always completes inline (successfully).
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template <class Domain = ex::default_domain>
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struct dummy_scheduler : _dummy::_attrs_t<Domain>
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{
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using scheduler_concept = ex::scheduler_t;
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_CCCL_HOST_DEVICE static constexpr auto schedule() noexcept -> _dummy::_sndr_t<Domain>
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{
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return {};
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}
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_CCCL_HOST_DEVICE friend constexpr bool operator==(dummy_scheduler, dummy_scheduler) noexcept
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{
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return true;
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}
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_CCCL_HOST_DEVICE friend constexpr bool operator!=(dummy_scheduler, dummy_scheduler) noexcept
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{
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return false;
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}
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};
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namespace _dummy
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{
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template <class Domain>
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_CCCL_HOST_DEVICE constexpr auto _attrs_t<Domain>::query(ex::get_completion_scheduler_t<ex::set_value_t>) const noexcept
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{
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return dummy_scheduler<Domain>{};
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}
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} // namespace _dummy
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} // namespace
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