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Minimalistic C++ thread pool implementation
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#include <vector> | |
#include <queue> | |
#include <thread> | |
#include <mutex> | |
#include <condition_variable> | |
#include <future> | |
#include <functional> | |
class ThreadPool | |
{ | |
std::vector<std::jthread> workers; | |
std::deque<std::move_only_function<void()>> queue; | |
std::mutex mutex; | |
std::condition_variable cv; | |
bool stop = false; | |
public: | |
ThreadPool(uint32_t threads) | |
{ | |
for (uint32_t i = 0 ; i < threads; ++i) { | |
workers.emplace_back([this] { | |
for(;;) { | |
std::move_only_function<void()> task; | |
{ | |
std::unique_lock lock{mutex}; | |
cv.wait(lock, [&]{ return stop || !queue.empty(); }); | |
if(stop && queue.empty()) { | |
return; | |
} | |
task = std::move(queue.front()); | |
queue.pop_front(); | |
} | |
task(); | |
} | |
}); | |
} | |
} | |
~ThreadPool() | |
{ | |
{ | |
std::scoped_lock lock{mutex}; | |
stop = true; | |
} | |
cv.notify_all(); | |
workers.clear(); | |
} | |
template<class Fn, class... Args> | |
auto enqueue(Fn&& f, Args&&... args) | |
{ | |
auto task = std::packaged_task( | |
[f = std::forward<Fn>(f), ...args = std::forward<Args>(args)] { | |
return f(std::forward<Args>(args)...); | |
}); | |
auto res = task.get_future(); | |
{ | |
std::scoped_lock lock{mutex}; | |
queue.push_back([task = std::move(task)]() mutable { task(); }); | |
} | |
cv.notify_one(); | |
return res; | |
} | |
}; |
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