// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2010 Gael Guennebaud // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. #ifndef EIGEN_PARALLELIZER_H #define EIGEN_PARALLELIZER_H namespace Eigen { namespace internal { /** \internal */ inline void manage_multi_threading(Action action, int* v) { static EIGEN_UNUSED int m_maxThreads = -1; if(action==SetAction) { eigen_internal_assert(v!=0); m_maxThreads = *v; } else if(action==GetAction) { eigen_internal_assert(v!=0); #ifdef EIGEN_HAS_OPENMP if(m_maxThreads>0) *v = m_maxThreads; else *v = omp_get_max_threads(); #else *v = 1; #endif } else { eigen_internal_assert(false); } } } /** Must be call first when calling Eigen from multiple threads */ inline void initParallel() { int nbt; internal::manage_multi_threading(GetAction, &nbt); std::ptrdiff_t l1, l2; internal::manage_caching_sizes(GetAction, &l1, &l2); } /** \returns the max number of threads reserved for Eigen * \sa setNbThreads */ inline int nbThreads() { int ret; internal::manage_multi_threading(GetAction, &ret); return ret; } /** Sets the max number of threads reserved for Eigen * \sa nbThreads */ inline void setNbThreads(int v) { internal::manage_multi_threading(SetAction, &v); } namespace internal { template struct GemmParallelInfo { GemmParallelInfo() : sync(-1), users(0), rhs_start(0), rhs_length(0) {} int volatile sync; int volatile users; Index rhs_start; Index rhs_length; }; template void parallelize_gemm(const Functor& func, Index rows, Index cols, bool transpose) { // TODO when EIGEN_USE_BLAS is defined, // we should still enable OMP for other scalar types #if !(defined (EIGEN_HAS_OPENMP)) || defined (EIGEN_USE_BLAS) // FIXME the transpose variable is only needed to properly split // the matrix product when multithreading is enabled. This is a temporary // fix to support row-major destination matrices. This whole // parallelizer mechanism has to be redisigned anyway. EIGEN_UNUSED_VARIABLE(transpose); func(0,rows, 0,cols); #else // Dynamically check whether we should enable or disable OpenMP. // The conditions are: // - the max number of threads we can create is greater than 1 // - we are not already in a parallel code // - the sizes are large enough // 1- are we already in a parallel session? // FIXME omp_get_num_threads()>1 only works for openmp, what if the user does not use openmp? if((!Condition) || (omp_get_num_threads()>1)) return func(0,rows, 0,cols); Index size = transpose ? cols : rows; // 2- compute the maximal number of threads from the size of the product: // FIXME this has to be fine tuned Index max_threads = std::max(1,size / 32); // 3 - compute the number of threads we are going to use Index threads = std::min(nbThreads(), max_threads); if(threads==1) return func(0,rows, 0,cols); Eigen::initParallel(); func.initParallelSession(); if(transpose) std::swap(rows,cols); Index blockCols = (cols / threads) & ~Index(0x3); Index blockRows = (rows / threads) & ~Index(0x7); GemmParallelInfo* info = new GemmParallelInfo[threads]; #pragma omp parallel for schedule(static,1) num_threads(threads) for(Index i=0; i