Kokkos Node API and Local Linear Algebra Kernels Version of the Day
EmptySparseKernelDriver.cpp
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00005 //          Kokkos: Node API and Parallel Node Kernels
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00043 
00044 #include "KokkosExamples_EmptySparseKernelClass.hpp"
00045 #include <Kokkos_MultiVector.hpp>
00046 #include <Kokkos_DefaultNode.hpp>
00047 
00052 int main() {
00053 
00054   typedef Kokkos::DefaultNode::DefaultNodeType                      Node;
00055   typedef KokkosExamples::EmptySparseKernel<void,Node>            SOBASE;
00056   typedef SOBASE::graph<int,Node>::graph_type                      Graph;
00057   typedef SOBASE::bind_scalar<float>::other_type                FloatOps;
00058   typedef FloatOps::matrix< float,int,Node>::matrix_type         FMatrix;
00059   typedef SOBASE::bind_scalar<double>::other_type              DoubleOps;
00060   typedef DoubleOps::matrix<double,int,Node>::matrix_type        DMatrix;
00061   typedef Kokkos::MultiVector<double,Node>                     DoubleVec;
00062   typedef Kokkos::MultiVector<float,Node>                       FloatVec;
00063 
00064   std::cout << "Note, this class doesn't actually do anything. We are only testing that it compiles." << std::endl;
00065 
00066   // get a pointer to the default node
00067   Teuchos::RCP<Node> node = Kokkos::DefaultNode::getDefaultNode();
00068 
00069   // create the graph G
00070   const int numRows = 5,
00071             numCols = 5;
00072   Teuchos::RCP<Graph> G = Teuchos::rcp(new Graph(numRows,numCols,node,Teuchos::null));
00073 
00074   // create a double-valued matrix dM using the graph G
00075   Teuchos::RCP<DMatrix> dM = Teuchos::rcp(new DMatrix(G,Teuchos::null));
00076   DoubleOps doubleKernel(node);
00077   // initialize it with G and dM
00078   DoubleOps::finalizeGraphAndMatrix(Teuchos::UNDEF_TRI,Teuchos::NON_UNIT_DIAG,*G,*dM,Teuchos::null);
00079   doubleKernel.setGraphAndMatrix(G,dM);
00080   // create double-valued vectors and initialize them
00081   DoubleVec dx(node), dy(node);
00082   // call the sparse kernel operator interfaces
00083   doubleKernel.multiply( Teuchos::NO_TRANS, 1.0, dx, dy);
00084   doubleKernel.multiply( Teuchos::NO_TRANS, 1.0, dx, 1.0, dy);
00085   doubleKernel.solve( Teuchos::NO_TRANS, dy, dx);
00086 
00087   // create a float-valued matrix fM using the graph G
00088   Teuchos::RCP<FMatrix> fM = Teuchos::rcp(new FMatrix(G,Teuchos::null));
00089   // create a double-valued sparse kernel using the rebind functionality
00090   FloatOps floatKernel(node);
00091   // initialize it with G and fM
00092   FloatOps::finalizeMatrix(*G,*fM,Teuchos::null);
00093   floatKernel.setGraphAndMatrix(G,fM);
00094   // create float-valued vectors and initialize them
00095   FloatVec fx(node), fy(node);
00096   // call the sparse kernel operator interfaces
00097   floatKernel.multiply( Teuchos::NO_TRANS, 1.0f, fx, fy);
00098   floatKernel.multiply( Teuchos::NO_TRANS, 1.0f, fx, 1.0f, fy);
00099   floatKernel.solve( Teuchos::NO_TRANS, fy, fx);
00100 
00101   std::cout << "End Result: TEST PASSED" << std::endl;
00102   return 0;
00103 }
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