1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96
|
/*
//
// Copyright 1997-2009 Torsten Rohlfing
//
// Copyright 2004-2011 SRI International
//
// This file is part of the Computational Morphometry Toolkit.
//
// http://www.nitrc.org/projects/cmtk/
//
// The Computational Morphometry Toolkit is free software: you can
// redistribute it and/or modify it under the terms of the GNU General Public
// License as published by the Free Software Foundation, either version 3 of
// the License, or (at your option) any later version.
//
// The Computational Morphometry Toolkit is distributed in the hope that it
// will be useful, but WITHOUT ANY WARRANTY; without even the implied
// warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License along
// with the Computational Morphometry Toolkit. If not, see
// <http://www.gnu.org/licenses/>.
//
// $Revision: 3288 $
//
// $LastChangedDate: 2011-07-26 16:27:51 -0700 (Tue, 26 Jul 2011) $
//
// $LastChangedBy: torstenrohlfing $
//
*/
#ifdef _OPENMP
# include <omp.h>
#endif
#include <System/cmtkThreads.h>
#include <System/cmtkConsole.h>
template<class TParam>
void
cmtk::ThreadPoolThreads::Run
( const Self::TaskFunction taskFunction, std::vector<TParam>& taskParameters, const size_t numberOfTasksOverride )
{
if ( ! this->m_ThreadsRunning )
{
this->StartThreads();
}
const size_t numberOfTasks = numberOfTasksOverride ? numberOfTasksOverride : taskParameters.size();
if ( ! numberOfTasks )
{
StdErr << "ERROR: trying to run zero tasks on thread pool. Did you forget to resize the parameter vector?\n";
exit( 1 );
}
#ifdef _OPENMP
// if OpenMP is also used in CMTK, reduce the number of OMP threads by the number of threads/tasks that we're about to run in parallel.
const int nThreadsOMP = std::max<int>( 1, 1+Threads::GetNumberOfThreads() - std::min<int>( numberOfTasks, this->m_NumberOfThreads ) );
omp_set_num_threads( nThreadsOMP );
#endif
#ifdef CMTK_USE_SMP
// set task function
this->m_TaskFunction = taskFunction;
// initialize task index and count
this->m_NumberOfTasks = numberOfTasks;
this->m_TaskParameters.resize( this->m_NumberOfTasks );
this->m_NextTaskIndex = 0;
// set parameter pointers and post semaphores for tasks waiting to supply all running threads.
for ( size_t idx = 0; idx < numberOfTasks; ++idx )
{
this->m_TaskParameters[idx] = &(taskParameters[idx]);
}
this->m_TaskWaitingSemaphore.Post( numberOfTasks );
// now wait for all tasks to complete, as signaled via the "thread waiting" semaphore.
for ( size_t idx = 0; idx < numberOfTasks; ++idx )
{
this->m_ThreadWaitingSemaphore.Wait();
}
#else
// without SMP, just run everything sequentially.
for ( size_t idx = 0; idx < numberOfTasks; ++idx )
{
taskFunction( &taskParameters[idx], idx, numberOfTasks, 0, 1 );
}
#endif
#ifdef _OPENMP
// restore OpenMP thread count to maximum
omp_set_num_threads( Threads::GetNumberOfThreads() );
#endif
}
|