Loading Documentation/Examples/Matrices/SparseMatrix/SparseMatrixExample_setElement.cpp +7 −0 Original line number Diff line number Diff line Loading @@ -11,12 +11,19 @@ void setElements() { auto rowCapacities = { 1, 1, 1, 1, 1 }; TNL::Pointers::SharedPointer< TNL::Matrices::SparseMatrix< double, Device > > matrix( rowCapacities, 5 ); /*** * Calling the method setElements from host (CPU). */ for( int i = 0; i < 5; i++ ) matrix->setElement( i, i, i ); std::cout << "Matrix set from the host:" << std::endl; std::cout << *matrix << std::endl; /*** * This lambda function will run on the native device of the matrix which can be CPU or GPU. */ auto f = [=] __cuda_callable__ ( int i ) mutable { matrix->setElement( i, i, -i ); }; Loading Documentation/Tutorials/Matrices/CMakeLists.txt +37 −1 Original line number Diff line number Diff line Loading @@ -49,6 +49,37 @@ IF( BUILD_CUDA ) ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_rowCapacities_vector.out OUTPUT SparseMatrixExample_Constructor_rowCapacities_vector.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_Constructor_std_map SparseMatrixExample_Constructor_std_map.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_Constructor_std_map > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_std_map.out OUTPUT SparseMatrixExample_Constructor_std_map.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_setElements SparseMatrixExample_setElements.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_setElements > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_setElements.out OUTPUT SparseMatrixExample_setElements.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_setElements_map SparseMatrixExample_setElements_map.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_setElements_map > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_setElements_map.out OUTPUT SparseMatrixExample_setElements_map.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_setElement SparseMatrixExample_setElement.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_setElement > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_setElement.out OUTPUT SparseMatrixExample_setElement.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_addElement SparseMatrixExample_addElement.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_addElement > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_addElement.out OUTPUT SparseMatrixExample_addElement.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_forRows SparseMatrixExample_forRows.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_forRows > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_forRows.out OUTPUT SparseMatrixExample_forRows.out ) ELSE() # ADD_EXECUTABLE( UniquePointerExample UniquePointerExample.cpp ) # ADD_CUSTOM_COMMAND( COMMAND UniquePointerExample > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/UniquePointerExample.out OUTPUT UniquePointerExample.out ) Loading @@ -69,6 +100,11 @@ ADD_CUSTOM_TARGET( TutorialsMatricesCuda ALL DEPENDS DenseMatrixViewExample_setElement.out SparseMatrixExample_Constructor_init_list_2.out SparseMatrixExample_setRowCapacities.out SparseMatrixExample_Constructor_std_map.out SparseMatrixExample_setElements.out SparseMatrixExample_setElements_map.out SparseMatrixExample_setElement.out SparseMatrixExample_forRows.out ) ENDIF() # Loading Documentation/Tutorials/Matrices/SparseMatrixExample_Constructor_std_map.cpp 0 → 120000 +1 −0 Original line number Diff line number Diff line ../../Examples/Matrices/SparseMatrix/SparseMatrixExample_Constructor_std_map.cpp No newline at end of file Documentation/Tutorials/Matrices/SparseMatrixExample_Constructor_std_map.cu 0 → 120000 +1 −0 Original line number Diff line number Diff line ../../Examples/Matrices/SparseMatrix/SparseMatrixExample_Constructor_std_map.cu No newline at end of file Documentation/Tutorials/Matrices/SparseMatrixExample_addElement.cpp 0 → 120000 +1 −0 Original line number Diff line number Diff line ../../Examples/Matrices/SparseMatrix/SparseMatrixExample_addElement.cpp No newline at end of file Loading
Documentation/Examples/Matrices/SparseMatrix/SparseMatrixExample_setElement.cpp +7 −0 Original line number Diff line number Diff line Loading @@ -11,12 +11,19 @@ void setElements() { auto rowCapacities = { 1, 1, 1, 1, 1 }; TNL::Pointers::SharedPointer< TNL::Matrices::SparseMatrix< double, Device > > matrix( rowCapacities, 5 ); /*** * Calling the method setElements from host (CPU). */ for( int i = 0; i < 5; i++ ) matrix->setElement( i, i, i ); std::cout << "Matrix set from the host:" << std::endl; std::cout << *matrix << std::endl; /*** * This lambda function will run on the native device of the matrix which can be CPU or GPU. */ auto f = [=] __cuda_callable__ ( int i ) mutable { matrix->setElement( i, i, -i ); }; Loading
Documentation/Tutorials/Matrices/CMakeLists.txt +37 −1 Original line number Diff line number Diff line Loading @@ -49,6 +49,37 @@ IF( BUILD_CUDA ) ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_rowCapacities_vector.out OUTPUT SparseMatrixExample_Constructor_rowCapacities_vector.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_Constructor_std_map SparseMatrixExample_Constructor_std_map.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_Constructor_std_map > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_std_map.out OUTPUT SparseMatrixExample_Constructor_std_map.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_setElements SparseMatrixExample_setElements.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_setElements > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_setElements.out OUTPUT SparseMatrixExample_setElements.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_setElements_map SparseMatrixExample_setElements_map.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_setElements_map > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_setElements_map.out OUTPUT SparseMatrixExample_setElements_map.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_setElement SparseMatrixExample_setElement.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_setElement > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_setElement.out OUTPUT SparseMatrixExample_setElement.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_addElement SparseMatrixExample_addElement.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_addElement > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_addElement.out OUTPUT SparseMatrixExample_addElement.out ) CUDA_ADD_EXECUTABLE( SparseMatrixExample_forRows SparseMatrixExample_forRows.cu ) ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_forRows > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_forRows.out OUTPUT SparseMatrixExample_forRows.out ) ELSE() # ADD_EXECUTABLE( UniquePointerExample UniquePointerExample.cpp ) # ADD_CUSTOM_COMMAND( COMMAND UniquePointerExample > ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/UniquePointerExample.out OUTPUT UniquePointerExample.out ) Loading @@ -69,6 +100,11 @@ ADD_CUSTOM_TARGET( TutorialsMatricesCuda ALL DEPENDS DenseMatrixViewExample_setElement.out SparseMatrixExample_Constructor_init_list_2.out SparseMatrixExample_setRowCapacities.out SparseMatrixExample_Constructor_std_map.out SparseMatrixExample_setElements.out SparseMatrixExample_setElements_map.out SparseMatrixExample_setElement.out SparseMatrixExample_forRows.out ) ENDIF() # Loading
Documentation/Tutorials/Matrices/SparseMatrixExample_Constructor_std_map.cpp 0 → 120000 +1 −0 Original line number Diff line number Diff line ../../Examples/Matrices/SparseMatrix/SparseMatrixExample_Constructor_std_map.cpp No newline at end of file
Documentation/Tutorials/Matrices/SparseMatrixExample_Constructor_std_map.cu 0 → 120000 +1 −0 Original line number Diff line number Diff line ../../Examples/Matrices/SparseMatrix/SparseMatrixExample_Constructor_std_map.cu No newline at end of file
Documentation/Tutorials/Matrices/SparseMatrixExample_addElement.cpp 0 → 120000 +1 −0 Original line number Diff line number Diff line ../../Examples/Matrices/SparseMatrix/SparseMatrixExample_addElement.cpp No newline at end of file