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https://github.com/MaSzyna-EU07/maszyna.git
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perf(physics): performance.multithreading switches the work over many threads, which each job sizes by how much it has: the physics steps a thread per 128 vehicle steps, up to all logical cores
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@@ -15,63 +15,42 @@ http://mozilla.org/MPL/2.0/.
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#include <random>
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namespace
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{
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// threads by the setting: all the logical cores of the machine when it's 0 or less, otherwise as many as it says, up to a sane limit
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std::size_t wanted_threads()
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{
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auto const cores{static_cast<int>(std::max(1u, std::thread::hardware_concurrency()))};
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auto const setting{Global.performance_cpucores};
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return static_cast<std::size_t>(setting > 0 ? std::min(setting, 64) : cores);
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}
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} // namespace
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worker_pool::~worker_pool()
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{
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resize(0);
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m_stop = true;
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for (auto &data : m_threads)
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{
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data->start.release();
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}
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for (auto &data : m_threads)
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{
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data->thread.join();
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}
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}
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std::size_t worker_pool::size()
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std::size_t worker_pool::capacity()
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{
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auto const wanted{wanted_threads()};
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if (wanted != m_threads.size() + 1)
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if (false == Global.performance_multithreading)
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{
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resize(wanted - 1);
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return 1;
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}
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return m_threads.size() + 1;
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return std::max<std::size_t>(1, std::thread::hardware_concurrency());
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}
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void worker_pool::resize(std::size_t const Workers)
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void worker_pool::grow(std::size_t const Workers)
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{
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{
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std::scoped_lock lock(m_mutex);
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m_stop = true;
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}
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m_start.notify_all();
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for (auto &thread : m_threads)
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{
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thread.join();
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}
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m_threads.clear();
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m_stop = false;
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m_threads.reserve(Workers);
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for (std::size_t index = 0; index < Workers; ++index)
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while (m_threads.size() < Workers)
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{
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// the generation of the jobs is given from here: read by the thread, a job begun meanwhile would be taken for done
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m_threads.emplace_back(&worker_pool::worker, this, m_generation);
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auto &data{*m_threads.emplace_back(std::make_unique<thread_data>())};
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data.thread = std::thread(&worker_pool::worker, this, std::ref(data));
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}
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}
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void worker_pool::run(std::size_t const Count, std::function<void(std::size_t)> const &Work)
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void worker_pool::run(std::size_t const Count, std::size_t const Threads, std::function<void(std::size_t)> const &Work)
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{
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if (Count == 0)
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{
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return;
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}
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if ((size() == 1) || (Count == 1))
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auto const threads{std::min({Threads, capacity(), Count})};
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if (threads <= 1)
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{
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for (std::size_t index = 0; index < Count; ++index)
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{
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@@ -79,17 +58,21 @@ void worker_pool::run(std::size_t const Count, std::function<void(std::size_t)>
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}
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return;
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}
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grow(threads - 1);
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{
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std::scoped_lock lock(m_mutex);
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m_work = &Work;
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m_count = Count;
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m_next = 0;
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m_busy = m_threads.size();
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m_busy = threads - 1;
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m_exception = nullptr;
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++m_generation;
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}
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m_start.notify_all();
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// the job is set before the threads are woken: the semaphores pass it on to them
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for (std::size_t thread = 0; thread < threads - 1; ++thread)
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{
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m_threads[thread]->start.release();
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}
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// the calling thread works too
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work(Work, Count);
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@@ -126,25 +109,23 @@ void worker_pool::work(std::function<void(std::size_t)> const &Work, std::size_t
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}
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}
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void worker_pool::worker(unsigned int Generation)
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void worker_pool::worker(thread_data &Data)
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{
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// draws of Random() in this thread go to an engine of its own: the one of the simulation can't be shared between threads
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std::mt19937 randomengine(static_cast<std::mt19937::result_type>(true_random_seed()));
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set_thread_random_engine(&randomengine);
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auto generation{Generation};
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while (true)
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{
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Data.start.acquire();
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if (m_stop)
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{
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break;
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}
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std::function<void(std::size_t)> const *job{nullptr};
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std::size_t count{0};
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{
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std::unique_lock lock(m_mutex);
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m_start.wait(lock, [&]() { return m_stop || (m_generation != generation); });
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if (m_stop)
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{
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break;
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}
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generation = m_generation;
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std::scoped_lock lock(m_mutex);
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job = m_work;
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count = m_count;
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}
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@@ -152,8 +133,9 @@ void worker_pool::worker(unsigned int Generation)
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{
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std::scoped_lock lock(m_mutex);
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--m_busy;
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// notified under the lock: the job and the pool stay as they are until the caller sees the count
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m_done.notify_one();
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}
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m_done.notify_one();
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}
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set_thread_random_engine(nullptr);
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}
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