Loading Documentation/Examples/Solvers/Linear/CMakeLists.txt +1 −0 Original line number Diff line number Diff line set( COMMON_EXAMPLES IterativeLinearSolverExample IterativeLinearSolverWithMonitorExample ) if( BUILD_CUDA ) Loading Documentation/Examples/Solvers/Linear/IterativeLinearSolverWithMonitorExample.cpp 0 → 100644 +102 −0 Original line number Diff line number Diff line #include <iostream> #include <memory> #include <chrono> #include <thread> #include <TNL/Algorithms/ParallelFor.h> #include <TNL/Matrices/SparseMatrix.h> #include <TNL/Devices/Host.h> #include <TNL/Devices/Cuda.h> #include <TNL/Solvers/Linear/Jacobi.h> template< typename Device > void iterativeLinearSolverExample() { /*** * Set the following matrix (dots represent zero matrix elements): * * / 2 -1 . . . \ * | -1 2 -1 . . | * | . -1 2 -1. . | * | . . -1 2 -1 | * \ . . . -1 2 / */ using MatrixType = TNL::Matrices::SparseMatrix< double, Device >; using Vector = TNL::Containers::Vector< double, Device >; const int size( 5 ); auto matrix_ptr = std::make_shared< MatrixType >(); matrix_ptr->setDimensions( size, size ); matrix_ptr->setRowCapacities( Vector( { 2, 3, 3, 3, 2 } ) ); auto f = [=] __cuda_callable__ ( typename MatrixType::RowView& row ) mutable { const int rowIdx = row.getRowIndex(); if( rowIdx == 0 ) { row.setElement( 0, rowIdx, 2.5 ); // diagonal element row.setElement( 1, rowIdx+1, -1 ); // element above the diagonal } else if( rowIdx == size - 1 ) { row.setElement( 0, rowIdx-1, -1.0 ); // element below the diagonal row.setElement( 1, rowIdx, 2.5 ); // diagonal element } else { row.setElement( 0, rowIdx-1, -1.0 ); // element below the diagonal row.setElement( 1, rowIdx, 2.5 ); // diagonal element row.setElement( 2, rowIdx+1, -1.0 ); // element above the diagonal } }; /*** * Set the matrix elements. */ matrix_ptr->forAllRows( f ); std::cout << *matrix_ptr << std::endl; /*** * Set the right-hand side vector */ Vector x( size, 1.0 ); Vector b( size ); matrix_ptr->vectorProduct( x, b ); x = 0.0; std::cout << "Vector b = " << b << std::endl; /*** * Setup solver of the linear system */ using LinearSolver = TNL::Solvers::Linear::Jacobi< MatrixType >; LinearSolver solver; solver.setMatrix( matrix_ptr ); /*** * Setup monitor of the iterative solver */ using IterativeSolverMonitorType = TNL::Solvers::IterativeSolverMonitor< double, int >; IterativeSolverMonitorType monitor; TNL::Solvers::SolverMonitorThread t(monitor); monitor.setRefreshRate(100); // refresh rate = timeout in milliseconds monitor.setVerbose(1); monitor.setStage( "Jacobi stage:" ); TNL::Timer timer; monitor.setTimer( timer ); solver.setSolverMonitor(monitor); solver.setOmega( 0.001 ); //std::this_thread::sleep_for(std::chrono::milliseconds(3000)); // wait for 3 seconds to let the monitor doing something timer.start(); solver.solve( b, x ); monitor.stopMainLoop(); std::cout << "Vector x = " << x << std::endl; } int main( int argc, char* argv[] ) { std::cout << "Solving linear system on host: " << std::endl; iterativeLinearSolverExample< TNL::Devices::Host >(); #ifdef HAVE_CUDA std::cout << "Solving linear system on CUDA device: " << std::endl; iterativeLinearSolverExample< TNL::Devices::Cuda >(); #endif } Documentation/Examples/Solvers/Linear/IterativeLinearSolverWithMonitorExample.cu 0 → 120000 +1 −0 Original line number Diff line number Diff line IterativeLinearSolverWithMonitorExample.cpp No newline at end of file Documentation/Tutorials/Solvers/Linear/tutorial_Linear_solvers.md +9 −1 Original line number Diff line number Diff line Loading @@ -36,3 +36,11 @@ All iterative solvers for linear systems can be found in the namespace \ref TNL: The result looks as follows: \include IterativeLinearSolverExample.out \includelineno Solvers/Linear/IterativeLinearSolverWithMonitorExample.cpp The result looks as follows: \include IterativeLinearSolverWithMonitorExample.out No newline at end of file Loading
Documentation/Examples/Solvers/Linear/CMakeLists.txt +1 −0 Original line number Diff line number Diff line set( COMMON_EXAMPLES IterativeLinearSolverExample IterativeLinearSolverWithMonitorExample ) if( BUILD_CUDA ) Loading
Documentation/Examples/Solvers/Linear/IterativeLinearSolverWithMonitorExample.cpp 0 → 100644 +102 −0 Original line number Diff line number Diff line #include <iostream> #include <memory> #include <chrono> #include <thread> #include <TNL/Algorithms/ParallelFor.h> #include <TNL/Matrices/SparseMatrix.h> #include <TNL/Devices/Host.h> #include <TNL/Devices/Cuda.h> #include <TNL/Solvers/Linear/Jacobi.h> template< typename Device > void iterativeLinearSolverExample() { /*** * Set the following matrix (dots represent zero matrix elements): * * / 2 -1 . . . \ * | -1 2 -1 . . | * | . -1 2 -1. . | * | . . -1 2 -1 | * \ . . . -1 2 / */ using MatrixType = TNL::Matrices::SparseMatrix< double, Device >; using Vector = TNL::Containers::Vector< double, Device >; const int size( 5 ); auto matrix_ptr = std::make_shared< MatrixType >(); matrix_ptr->setDimensions( size, size ); matrix_ptr->setRowCapacities( Vector( { 2, 3, 3, 3, 2 } ) ); auto f = [=] __cuda_callable__ ( typename MatrixType::RowView& row ) mutable { const int rowIdx = row.getRowIndex(); if( rowIdx == 0 ) { row.setElement( 0, rowIdx, 2.5 ); // diagonal element row.setElement( 1, rowIdx+1, -1 ); // element above the diagonal } else if( rowIdx == size - 1 ) { row.setElement( 0, rowIdx-1, -1.0 ); // element below the diagonal row.setElement( 1, rowIdx, 2.5 ); // diagonal element } else { row.setElement( 0, rowIdx-1, -1.0 ); // element below the diagonal row.setElement( 1, rowIdx, 2.5 ); // diagonal element row.setElement( 2, rowIdx+1, -1.0 ); // element above the diagonal } }; /*** * Set the matrix elements. */ matrix_ptr->forAllRows( f ); std::cout << *matrix_ptr << std::endl; /*** * Set the right-hand side vector */ Vector x( size, 1.0 ); Vector b( size ); matrix_ptr->vectorProduct( x, b ); x = 0.0; std::cout << "Vector b = " << b << std::endl; /*** * Setup solver of the linear system */ using LinearSolver = TNL::Solvers::Linear::Jacobi< MatrixType >; LinearSolver solver; solver.setMatrix( matrix_ptr ); /*** * Setup monitor of the iterative solver */ using IterativeSolverMonitorType = TNL::Solvers::IterativeSolverMonitor< double, int >; IterativeSolverMonitorType monitor; TNL::Solvers::SolverMonitorThread t(monitor); monitor.setRefreshRate(100); // refresh rate = timeout in milliseconds monitor.setVerbose(1); monitor.setStage( "Jacobi stage:" ); TNL::Timer timer; monitor.setTimer( timer ); solver.setSolverMonitor(monitor); solver.setOmega( 0.001 ); //std::this_thread::sleep_for(std::chrono::milliseconds(3000)); // wait for 3 seconds to let the monitor doing something timer.start(); solver.solve( b, x ); monitor.stopMainLoop(); std::cout << "Vector x = " << x << std::endl; } int main( int argc, char* argv[] ) { std::cout << "Solving linear system on host: " << std::endl; iterativeLinearSolverExample< TNL::Devices::Host >(); #ifdef HAVE_CUDA std::cout << "Solving linear system on CUDA device: " << std::endl; iterativeLinearSolverExample< TNL::Devices::Cuda >(); #endif }
Documentation/Examples/Solvers/Linear/IterativeLinearSolverWithMonitorExample.cu 0 → 120000 +1 −0 Original line number Diff line number Diff line IterativeLinearSolverWithMonitorExample.cpp No newline at end of file
Documentation/Tutorials/Solvers/Linear/tutorial_Linear_solvers.md +9 −1 Original line number Diff line number Diff line Loading @@ -36,3 +36,11 @@ All iterative solvers for linear systems can be found in the namespace \ref TNL: The result looks as follows: \include IterativeLinearSolverExample.out \includelineno Solvers/Linear/IterativeLinearSolverWithMonitorExample.cpp The result looks as follows: \include IterativeLinearSolverWithMonitorExample.out No newline at end of file