HyperspaceExplorer 0.7.1
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00001 /* 00002 Hyperspace Explorer - visualizing higher-dimensional geometry 00003 Copyright (C) 2012 Lene Preuss <lene.preuss@gmail.com> 00004 00005 This program is free software; you can redistribute it and/or modify 00006 it under the terms of the GNU General Public License as published by 00007 the Free Software Foundation; either version 2 of the License, or 00008 (at your option) any later version. 00009 00010 This program is distributed in the hope that it will be useful, 00011 but WITHOUT ANY WARRANTY; without even the implied warranty of 00012 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 00013 GNU General Public License for more details. 00014 00015 You should have received a copy of the GNU General Public License along 00016 with this program; if not, write to the Free Software Foundation, Inc., 00017 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 00018 00019 */ 00020 00021 #ifndef PARTITIONEDMULTITHREADEDMAP_H 00022 #define PARTITIONEDMULTITHREADEDMAP_H 00023 00024 #include "MultithreadingPrivate.h" 00025 00026 #include <QtConcurrentMap> 00027 00029 00038 namespace Multithreading { 00039 00040 template <class RandomAccessContainer, typename Function> 00041 RandomAccessContainer mapped(const RandomAccessContainer &container, Function function) { 00042 return QtConcurrent::blockingMapped<RandomAccessContainer>(container, function); 00043 } 00044 00047 00065 template <class RandomAccessContainer, typename Function> 00066 void partitionedMap( 00067 const RandomAccessContainer &container, RandomAccessContainer &output, Function function, 00068 unsigned tasks_per_processor = 1 00069 ) { 00070 auto tasks = Private::Kernel<RandomAccessContainer, Function>::generateKernels(container, output, function, tasks_per_processor); 00071 00072 Private::Kernel<RandomAccessContainer, Function>::startTasks(tasks); 00073 00074 Private::Kernel<RandomAccessContainer, Function>::waitForTasks(tasks); 00075 } 00076 00079 00096 template <class RandomAccessContainer, typename Function> 00097 void partitionedMap( 00098 RandomAccessContainer &container, Function function, unsigned tasks_per_processor = 1 00099 ) { 00100 partitionedMap(container, container, function, tasks_per_processor); 00101 } 00102 00105 00123 template <class RandomAccessContainer, typename Function> 00124 RandomAccessContainer partitionedMapped( 00125 const RandomAccessContainer &container, Function function, unsigned tasks_per_processor = 1 00126 ) { 00127 RandomAccessContainer output(container.size()); 00128 00129 partitionedMap(container, output, function, tasks_per_processor); 00130 00131 return output; 00132 } 00133 00134 } 00135 00136 #endif /* PARTITIONEDMULTITHREADEDMAP_H */