Kokkos Node API and Local Linear Algebra Kernels Version of the Day
Kokkos_OpenMPNode.hpp
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00004 //          Kokkos: Node API and Parallel Node Kernels
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00041 
00042 
00043 #ifndef KOKKOS_OPENMPNODE_HPP_
00044 #define KOKKOS_OPENMPNODE_HPP_
00045 
00046 #include "Kokkos_StandardNodeMemoryModel.hpp"
00047 #include "Kokkos_NodeHelpers.hpp"
00048 
00049 #include <omp.h>
00050 
00051 namespace Teuchos {
00052   //forward declarations
00053   class ParameterList;
00054 }
00055 
00056 namespace Kokkos {
00057 
00058   class OpenMPNode : public StandardNodeMemoryModel {
00059   public:
00060 
00074     OpenMPNode(Teuchos::ParameterList &pl);
00075 
00081     OpenMPNode();
00082 
00084     ~OpenMPNode();
00085 
00097     void init(int numThreads);
00098 
00099     template <class WDP>
00100     static void parallel_for(int beg, int end, WDP wd) {
00101 #pragma omp parallel for schedule(guided) default(shared)
00102       for (int i = beg; i < end; ++i) {
00103         wd.execute(i);
00104       }
00105     }
00106 
00107     template <class WDP>
00108     static typename WDP::ReductionType
00109     parallel_reduce(int beg, int end, WDP wd) {
00110       typedef typename WDP::ReductionType ReductionType;
00111       ReductionType threadResult = WDP::identity();
00112       ReductionType globalResult = WDP::identity();
00113 #pragma omp parallel default(shared) firstprivate(threadResult)
00114       {
00115 #pragma omp for
00116         for (int i = beg; i < end; ++i) {
00117           threadResult = wd.reduce(threadResult, wd.generate(i));
00118         }
00119 #pragma omp critical
00120         globalResult = wd.reduce(globalResult, threadResult);
00121       }
00122       return globalResult;
00123     }
00124 
00126     inline void sync() const {};
00127 
00128   private:
00130     int curNumThreads_;
00132     bool verbose_;
00133   };
00134 
00135   template <> class ArrayOfViewsHelper<OpenMPNode> : public ArrayOfViewsHelperTrivialImpl<OpenMPNode> {};
00136 
00137 }
00138 
00139 #endif
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