| namespace Eigen { | |
| /** \page TopicMultiThreading Eigen and multi-threading | |
| \section TopicMultiThreading_MakingEigenMT Make Eigen run in parallel | |
| 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: | |
| * GCC: \c -fopenmp | |
| * ICC: \c -openmp | |
| * MSVC: check the respective option in the build properties. | |
| You can control the number of thread that will be used using either the OpenMP API or Eiegn's API using the following priority: | |
| \code | |
| OMP_NUM_THREADS=n ./my_program | |
| omp_set_num_threads(n); | |
| Eigen::setNbThreads(n); | |
| \endcode | |
| 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 | |
| You can query the number of threads that will be used with: | |
| \code | |
| n = Eigen::nbThreads(n); | |
| \endcode | |
| You can disable Eigen's multi threading at compile time by defining the EIGEN_DONT_PARALLELIZE preprocessor token. | |
| Currently, the following algorithms can make use of multi-threading: | |
| * general matrix - matrix products | |
| * PartialPivLU | |
| \section TopicMultiThreading_UsingEigenWithMT Using Eigen in a multi-threaded application | |
| 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: | |
| \code | |
| #include <Eigen/Core> | |
| int main(int argc, char** argv) | |
| { | |
| Eigen::initParallel(); | |
| ... | |
| } | |
| \endcode | |
| \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. | |
| In the case your application is parallelized with OpenMP, you might want to disable Eigen's own parallization as detailed in the previous section. | |
| */ | |
| } |