/* * Copyright (C) 2015-2017 Apple Inc. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY APPLE INC. ``AS IS'' AND ANY * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL APPLE INC. OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ #pragma once #include #include #include #include #include #include #include #include #include #include namespace WTF { class AutomaticThread; class AutomaticThreadCondition; // A ParallelHelperPool is a shared pool of threads that can be asked to help with some finite-time // parallel activity. It's designed to work well when there are multiple concurrent tasks that may // all want parallel help. In that case, we don't want each task to start its own thread pool. It's // also designed to work well for tasks that do their own load balancing and do not wish to // participate in microtask-style load balancing. // // A pool can have many clients, and each client may have zero or one tasks. The pool will have up // to some number of threads, configurable with ParallelHelperPool::addThreads(); usually you bound // this by the number of CPUs. Whenever a thread is idle and it notices that some client has a // task, it will run the task. A task may be run on anywhere between zero and N threads, where N is // the number of threads in the pool. Tasks run to completion. It's expected that a task will have // its own custom ideas about how to participate in some parallel activity's load balancing, and it // will return when the parallel activity is done. For example, a parallel marking task will return // when the mark phase is done. // // Threads may have a choice between many tasks, since there may be many clients and each client // may have a task. For the marking example, that may happen if there are multiple VM instances and // each instance decides to start parallel marking at the same time. In that case, threads choose // a task at random. So long as any client has a task, all threads in the pool will continue // running the available tasks. Threads go idle when no client has tasks to run. class ParallelHelperClient; class ParallelHelperPool : public ThreadSafeRefCounted { public: WTF_EXPORT_PRIVATE ParallelHelperPool(CString&& threadName); WTF_EXPORT_PRIVATE ~ParallelHelperPool(); WTF_EXPORT_PRIVATE void ensureThreads(unsigned numThreads); unsigned numberOfThreads() const { return m_numThreads; } WTF_EXPORT_PRIVATE void doSomeHelping(); private: friend class ParallelHelperClient; class Thread; friend class Thread; void didMakeWorkAvailable(const AbstractLocker&) WTF_REQUIRES_LOCK(m_lock); bool hasClientWithTask() WTF_REQUIRES_LOCK(m_lock); ParallelHelperClient* getClientWithTask() WTF_REQUIRES_LOCK(m_lock); Box m_lock; // AutomaticThread wants this in a box for safety. Ref m_workAvailableCondition; Condition m_workCompleteCondition; WeakRandom m_random; Vector m_clients WTF_GUARDED_BY_LOCK(*m_lock); Vector> m_threads; CString m_threadName; unsigned m_numThreads { 0 }; // This can be larger than m_threads.size() because we start threads only once there is work. bool m_isDying { false }; }; // A client is a placeholder for a parallel algorithm. A parallel algorithm will have a task that // can be run concurrently. Whenever a client has a task set (you have called setTask() or // setFunction()), threads in the pool may run that task. If a task returns on any thread, the // client will assume that the task is done and will clear the task. If the task is cleared (the // task runs to completion on any thread or you call finish()), any threads in the pool already // running the last set task(s) will continue to run them. You can wait for all of them to finish // by calling finish(). That method will clear the task and wait for any threads running the last // set task to finish. There are two known-good patterns for using a client: // // 1) Tasks intrinsically know when the algorithm reaches termination, and simply returns when // this happens. The main thread runs the task by doing: // // client->setFunction( // [=] () { // do things; // }); // client->doSomeHelping(); // client->finish(); // // Calling doSomeHelping() ensures that the algorithm runs on at least one thread (this one). // Tasks will know when to complete, and will return when they are done. This will clear the // task to ensure that no new threads will run the task. Then, finish() clears the current task // and waits for any parallel tasks to finish after the main thread has finished. It's possible // for threads to still be running the last set task (i.e. the one set by setFunction()) even // after the task has been cleared. Waiting for idle ensures that no old tasks are running // anymore. // // You can do this more easily by using the runFunctionInParallel() helper: // // clients->runFunctionInParallel( // [=] () { // do things; // }); // // 2) Tasks keep doing things until they are told to quit using some custom notification mechanism. // The main thread runs the task by doing: // // bool keepGoing = true; // client->setFunction( // [=] () { // while (keepGoing) { // do things; // } // }); // // When work runs out, the main thread will inform tasks that there is no more work, and then // wait until no more tasks are running: // // keepGoing = false; // client->finish(); // // This works best when the main thread doesn't actually want to run the task that it set in the // client. This happens for example in parallel marking. The main thread uses a somewhat // different marking algorithm than the helpers. The main thread may provide work that the // helpers steal. The main thread knows when termination is reached, and simply tells the // helpers to stop upon termination. // // The known-good styles of using ParallelHelperClient all involve a parallel algorithm that has // its own work distribution and load balancing. // // Note that it is not valid to use the same ParallelHelperClient instance from multiple threads. // Each thread should have its own ParallelHelperClient in that case. Failure to follow this advice // will lead to RELEASE_ASSERT's or worse. class ParallelHelperClient { WTF_MAKE_NONCOPYABLE(ParallelHelperClient); WTF_MAKE_FAST_ALLOCATED; public: WTF_EXPORT_PRIVATE ParallelHelperClient(RefPtr&&); WTF_EXPORT_PRIVATE ~ParallelHelperClient(); WTF_EXPORT_PRIVATE void setTask(RefPtr>&&); template void setFunction(const Functor& functor) { setTask(createSharedTask(functor)); } WTF_EXPORT_PRIVATE void finish(); WTF_EXPORT_PRIVATE void doSomeHelping(); // Equivalent to: // client->setTask(task); // client->doSomeHelping(); // client->finish(); WTF_EXPORT_PRIVATE void runTaskInParallel(RefPtr>&&); // Equivalent to: // client->setFunction(functor); // client->doSomeHelping(); // client->finish(); template void runFunctionInParallel(const Functor& functor) { runTaskInParallel(createSharedTask(functor)); } ParallelHelperPool& pool() { return *m_pool; } unsigned numberOfActiveThreads() const { return m_numActive; } private: friend class ParallelHelperPool; void finishWithLock() WTF_REQUIRES_LOCK(*m_pool->m_lock); RefPtr> claimTask() WTF_REQUIRES_LOCK(*m_pool->m_lock); void runTask(const RefPtr>&); RefPtr m_pool; RefPtr> m_task; unsigned m_numActive { 0 }; }; } // namespace WTF using WTF::ParallelHelperClient; using WTF::ParallelHelperPool;