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project_6/cccl_upstream/cudax/test/execution/common/impulse_scheduler.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) 2024 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#pragma once
#include <cuda/__utility/immovable.h>
#include <cuda/experimental/execution.cuh>
// IWYU pragma: begin_keep
#include <condition_variable>
#include <functional>
#include <memory>
#include <mutex>
// IWYU pragma: end_keep
#include "testing.cuh" // IWYU pragma: keep
namespace ex = cuda::experimental::execution;
#if _CCCL_HOST_COMPILATION()
namespace
{
namespace _impulse
{
struct _attrs_t
{
constexpr auto query(ex::get_completion_behavior_t) const noexcept
{
return ex::completion_behavior::asynchronous;
}
};
} // namespace _impulse
//! Scheduler that will send impulses on user's request.
//! One can obtain senders from this, connect them to receivers and start the operation states.
//! Until the scheduler is told to start the next operation, the actions in the operation states are
//! not executed. This is similar to a task scheduler, but it's single threaded. It has basic
//! thread-safety to allow it to be run with `sync_wait` (which makes us not control when the
//! operation_state object is created and started).
struct impulse_scheduler : _impulse::_attrs_t
{
private:
//! Command type that can store the action of firing up a sender
using _cmd_t = std::function<void()>;
using _cmd_vec_t = std::vector<_cmd_t>;
struct _data_t : std::enable_shared_from_this<_data_t>
{
explicit _data_t(int id)
: id_(id)
{}
int id_;
std::mutex mutex_{};
std::condition_variable cv_{};
std::vector<std::function<void()>> all_commands_{};
};
//! That data_t shared between the operation state and the actual scheduler
//! Shared pointer to allow the scheduler to be copied (not the best semantics, but it will do)
std::shared_ptr<_data_t> _data_{};
template <class Rcvr>
struct _opstate_t : cuda::__immovable
{
using operation_state_concept = ex::operation_state_t;
_data_t* _data_;
Rcvr _rcvr_;
explicit _opstate_t(_data_t* data, Rcvr&& rcvr)
: _data_(data)
, _rcvr_(static_cast<Rcvr&&>(rcvr))
{}
void start() noexcept
{
// Enqueue another command to the list of all commands
// The scheduler will start this, whenever start_next() is called
std::unique_lock lock{_data_->mutex_};
_data_->all_commands_.emplace_back([this]() {
if (ex::get_stop_token(ex::get_env(_rcvr_)).stop_requested())
{
ex::set_stopped(static_cast<Rcvr&&>(_rcvr_));
}
else
{
ex::set_value(static_cast<Rcvr&&>(_rcvr_));
}
});
_data_->cv_.notify_all();
}
};
struct _sndr_t
{
using sender_concept = ex::sender_t;
_data_t* _data_;
template <class Self>
_CCCL_HOST_DEVICE static constexpr auto get_completion_signatures()
{
return ex::completion_signatures<ex::set_value_t(), ex::set_stopped_t()>();
}
template <class Rcvr>
auto connect(Rcvr rcvr) -> _opstate_t<Rcvr>
{
return _opstate_t<Rcvr>{_data_, static_cast<Rcvr&&>(rcvr)};
}
auto get_env() const noexcept
{
return _impulse::_attrs_t{};
}
};
explicit impulse_scheduler(_data_t* data)
: _data_(data->shared_from_this())
{}
public:
using scheduler_concept = ex::scheduler_t;
impulse_scheduler()
: _data_(std::make_shared<_data_t>(0))
{}
explicit impulse_scheduler(int id)
: _data_(std::make_shared<_data_t>(id))
{}
~impulse_scheduler() = default;
//! Actually start the command from the last started operation_state
//! Returns immediately if no command registered (i.e., no operation state started)
bool try_start_next()
{
// Wait for a command that we can execute
std::unique_lock lock{_data_->mutex_};
// If there are no commands in the queue, return false
if (_data_->all_commands_.empty())
{
return false;
}
// Pop one command from the queue
auto cmd = std::move(_data_->all_commands_.front());
_data_->all_commands_.erase(_data_->all_commands_.begin());
// Exit the lock before executing the command
lock.unlock();
// Execute the command, i.e., send an impulse to the connected sender
cmd();
// Return true to signal that we started a command
return true;
}
//! Actually start the command from the last started operation_state
//! Blocks if no command registered (i.e., no operation state started)
void start_next()
{
// Wait for a command that we can execute
std::unique_lock lock{_data_->mutex_};
while (_data_->all_commands_.empty())
{
_data_->cv_.wait(lock);
}
// Pop one command from the queue
auto cmd = std::move(_data_->all_commands_.front());
_data_->all_commands_.erase(_data_->all_commands_.begin());
// Exit the lock before executing the command
lock.unlock();
// Execute the command, i.e., send an impulse to the connected sender
cmd();
}
_sndr_t schedule() const noexcept
{
return _sndr_t{_data_.get()};
}
friend bool operator==(const impulse_scheduler& a, const impulse_scheduler& b) noexcept
{
return a._data_ == b._data_;
}
friend bool operator!=(const impulse_scheduler& a, const impulse_scheduler& b) noexcept
{
return a._data_ != b._data_;
}
};
} // namespace
#endif // _CCCL_HOST_COMPILATION()