/* * Copyright (C) 2011 University of Szeged * Copyright (C) 2011 Gabor Loki * 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 UNIVERSITY OF SZEGED ``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 UNIVERSITY OF SZEGED 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 // Usage: // // // Initialize parallel jobs // ParallelJobs parallelJobs(&worker [, requestedNumberOfJobs]); // // // Fill the parameter array // for(i = 0; i < parallelJobs.numberOfJobs(); ++i) { // TypeOfParameter& params = parallelJobs.parameter(i); // params.attr1 = localVars ... // ... // } // // // Execute parallel jobs // parallelJobs.execute(); // #if ENABLE(THREADING_GENERIC) #include #elif ENABLE(THREADING_OPENMP) #include #elif ENABLE(THREADING_LIBDISPATCH) #include #else #error "No parallel processing API for ParallelJobs" #endif namespace WTF { template class ParallelJobs { WTF_MAKE_FAST_ALLOCATED; public: typedef void (*WorkerFunction)(Type*); ParallelJobs(WorkerFunction func, int requestedJobNumber) : m_parallelEnvironment(reinterpret_cast(func), sizeof(Type), requestedJobNumber) { m_parameters.grow(m_parallelEnvironment.numberOfJobs()); ASSERT(numberOfJobs() == m_parameters.size()); } size_t numberOfJobs() { return m_parameters.size(); } Type& parameter(size_t i) { return m_parameters[i]; } void execute() { m_parallelEnvironment.execute(reinterpret_cast(m_parameters.data())); } private: ParallelEnvironment m_parallelEnvironment; Vector m_parameters; }; } // namespace WTF using WTF::ParallelJobs;