Gael Guennebaud | b9f25ee | 2012-06-14 14:24:15 +0200 | [diff] [blame] | 1 | namespace Eigen { |
| 2 | |
| 3 | /** \page TopicMultiThreading Eigen and multi-threading |
| 4 | |
| 5 | \section TopicMultiThreading_MakingEigenMT Make Eigen run in parallel |
| 6 | |
| 7 | Some Eigen's algorithms can exploit the multiple cores present in your hardware. To this end, it is enough to enable OpenMP on your compiler, for instance: |
| 8 | * GCC: \c -fopenmp |
| 9 | * ICC: \c -openmp |
| 10 | * MSVC: check the respective option in the build properties. |
| 11 | You can control the number of thread that will be used using either the OpenMP API or Eiegn's API using the following priority: |
| 12 | \code |
| 13 | OMP_NUM_THREADS=n ./my_program |
| 14 | omp_set_num_threads(n); |
| 15 | Eigen::setNbThreads(n); |
| 16 | \endcode |
| 17 | Unless setNbThreads has been called, Eigen uses the number of threads specified by OpenMP. You can restore this bahavior by calling \code setNbThreads(0); \endcode |
| 18 | You can query the number of threads that will be used with: |
| 19 | \code |
michiel van dyck | 4b9edda | 2015-05-04 14:48:52 +0000 | [diff] [blame^] | 20 | n = Eigen::nbThreads( ); |
Gael Guennebaud | b9f25ee | 2012-06-14 14:24:15 +0200 | [diff] [blame] | 21 | \endcode |
| 22 | You can disable Eigen's multi threading at compile time by defining the EIGEN_DONT_PARALLELIZE preprocessor token. |
| 23 | |
| 24 | Currently, the following algorithms can make use of multi-threading: |
| 25 | * general matrix - matrix products |
| 26 | * PartialPivLU |
| 27 | |
| 28 | \section TopicMultiThreading_UsingEigenWithMT Using Eigen in a multi-threaded application |
| 29 | |
| 30 | In the case your own application is multithreaded, and multiple threads make calls to Eigen, then you have to initialize Eigen by calling the following routine \b before creating the threads: |
| 31 | \code |
| 32 | #include <Eigen/Core> |
| 33 | |
| 34 | int main(int argc, char** argv) |
| 35 | { |
| 36 | Eigen::initParallel(); |
| 37 | |
| 38 | ... |
| 39 | } |
| 40 | \endcode |
| 41 | |
Gael Guennebaud | 72461be | 2014-03-07 23:13:14 +0100 | [diff] [blame] | 42 | \warning note that all functions generating random matrices are \b not re-entrant nor thread-safe. Those include DenseBase::Random(), and DenseBase::setRandom() despite a call to Eigen::initParallel(). This is because these functions are based on std::rand which is not re-entrant. For thread-safe random generator, we recommend the use of boost::random or c++11 random feature. |
Gael Guennebaud | ac409f5 | 2014-01-07 20:17:59 +0100 | [diff] [blame] | 43 | |
Gael Guennebaud | b9f25ee | 2012-06-14 14:24:15 +0200 | [diff] [blame] | 44 | In the case your application is parallelized with OpenMP, you might want to disable Eigen's own parallization as detailed in the previous section. |
| 45 | |
| 46 | */ |
| 47 | |
| 48 | } |