/******************************************************************************* * For each run, the input filename must be given on the command line. In all * * cases, the command line is: * * * * executable <input file name> * * * *******************************************************************************/ int main(int argc, char* argv[]) { // Initialize PETSc, MPI, and SAMRAI. PetscInitialize(&argc, &argv, NULL, NULL); SAMRAI_MPI::setCommunicator(PETSC_COMM_WORLD); SAMRAI_MPI::setCallAbortInSerialInsteadOfExit(); SAMRAIManager::startup(); { // cleanup dynamically allocated objects prior to shutdown // Parse command line options, set some standard options from the input // file, and enable file logging. Pointer<AppInitializer> app_initializer = new AppInitializer(argc, argv, "vc_laplace.log"); Pointer<Database> input_db = app_initializer->getInputDatabase(); // Create major algorithm and data objects that comprise the // application. These objects are configured from the input database. Pointer<CartesianGridGeometry<NDIM> > grid_geometry = new CartesianGridGeometry<NDIM>( "CartesianGeometry", app_initializer->getComponentDatabase("CartesianGeometry")); Pointer<PatchHierarchy<NDIM> > patch_hierarchy = new PatchHierarchy<NDIM>("PatchHierarchy", grid_geometry); Pointer<StandardTagAndInitialize<NDIM> > error_detector = new StandardTagAndInitialize<NDIM>( "StandardTagAndInitialize", NULL, app_initializer->getComponentDatabase("StandardTagAndInitialize")); Pointer<BergerRigoutsos<NDIM> > box_generator = new BergerRigoutsos<NDIM>(); Pointer<LoadBalancer<NDIM> > load_balancer = new LoadBalancer<NDIM>("LoadBalancer", app_initializer->getComponentDatabase("LoadBalancer")); Pointer<GriddingAlgorithm<NDIM> > gridding_algorithm = new GriddingAlgorithm<NDIM>("GriddingAlgorithm", app_initializer->getComponentDatabase("GriddingAlgorithm"), error_detector, box_generator, load_balancer); // Create variables and register them with the variable database. VariableDatabase<NDIM>* var_db = VariableDatabase<NDIM>::getDatabase(); Pointer<VariableContext> ctx = var_db->getContext("context"); Pointer<SideVariable<NDIM, double> > u_side_var = new SideVariable<NDIM, double>("u_side"); Pointer<SideVariable<NDIM, double> > f_side_var = new SideVariable<NDIM, double>("f_side"); Pointer<SideVariable<NDIM, double> > e_side_var = new SideVariable<NDIM, double>("e_side"); const int u_side_idx = var_db->registerVariableAndContext(u_side_var, ctx, IntVector<NDIM>(1)); const int f_side_idx = var_db->registerVariableAndContext(f_side_var, ctx, IntVector<NDIM>(1)); const int e_side_idx = var_db->registerVariableAndContext(e_side_var, ctx, IntVector<NDIM>(1)); Pointer<CellVariable<NDIM, double> > u_cell_var = new CellVariable<NDIM, double>("u_cell", NDIM); Pointer<CellVariable<NDIM, double> > f_cell_var = new CellVariable<NDIM, double>("f_cell", NDIM); Pointer<CellVariable<NDIM, double> > e_cell_var = new CellVariable<NDIM, double>("e_cell", NDIM); const int u_cell_idx = var_db->registerVariableAndContext(u_cell_var, ctx, IntVector<NDIM>(0)); const int f_cell_idx = var_db->registerVariableAndContext(f_cell_var, ctx, IntVector<NDIM>(0)); const int e_cell_idx = var_db->registerVariableAndContext(e_cell_var, ctx, IntVector<NDIM>(0)); Pointer<NodeVariable<NDIM, double> > mu_node_var = new NodeVariable<NDIM, double>("mu_node"); const int mu_node_idx = var_db->registerVariableAndContext(mu_node_var, ctx, IntVector<NDIM>(1)); // Register variables for plotting. Pointer<VisItDataWriter<NDIM> > visit_data_writer = app_initializer->getVisItDataWriter(); TBOX_ASSERT(visit_data_writer); visit_data_writer->registerPlotQuantity(u_cell_var->getName(), "VECTOR", u_cell_idx); for (unsigned int d = 0; d < NDIM; ++d) { ostringstream stream; stream << d; visit_data_writer->registerPlotQuantity(u_cell_var->getName() + stream.str(), "SCALAR", u_cell_idx, d); } visit_data_writer->registerPlotQuantity(f_cell_var->getName(), "VECTOR", f_cell_idx); for (unsigned int d = 0; d < NDIM; ++d) { ostringstream stream; stream << d; visit_data_writer->registerPlotQuantity(f_cell_var->getName() + stream.str(), "SCALAR", f_cell_idx, d); } visit_data_writer->registerPlotQuantity(e_cell_var->getName(), "VECTOR", e_cell_idx); for (unsigned int d = 0; d < NDIM; ++d) { ostringstream stream; stream << d; visit_data_writer->registerPlotQuantity(e_cell_var->getName() + stream.str(), "SCALAR", e_cell_idx, d); } visit_data_writer->registerPlotQuantity(mu_node_var->getName(), "SCALAR", mu_node_idx); // Initialize the AMR patch hierarchy. gridding_algorithm->makeCoarsestLevel(patch_hierarchy, 0.0); int tag_buffer = 1; int level_number = 0; bool done = false; while (!done && (gridding_algorithm->levelCanBeRefined(level_number))) { gridding_algorithm->makeFinerLevel(patch_hierarchy, 0.0, 0.0, tag_buffer); done = !patch_hierarchy->finerLevelExists(level_number); ++level_number; } // Set the simulation time to be zero. const double data_time = 0.0; // Allocate data on each level of the patch hierarchy. for (int ln = 0; ln <= patch_hierarchy->getFinestLevelNumber(); ++ln) { Pointer<PatchLevel<NDIM> > level = patch_hierarchy->getPatchLevel(ln); level->allocatePatchData(u_side_idx, data_time); level->allocatePatchData(f_side_idx, data_time); level->allocatePatchData(e_side_idx, data_time); level->allocatePatchData(u_cell_idx, data_time); level->allocatePatchData(f_cell_idx, data_time); level->allocatePatchData(e_cell_idx, data_time); level->allocatePatchData(mu_node_idx, data_time); } // Setup exact solution data. muParserCartGridFunction u_fcn("u", app_initializer->getComponentDatabase("u"), grid_geometry); muParserCartGridFunction f_fcn("f", app_initializer->getComponentDatabase("f"), grid_geometry); muParserCartGridFunction mu_fcn("mu", app_initializer->getComponentDatabase("mu"), grid_geometry); u_fcn.setDataOnPatchHierarchy(u_side_idx, u_side_var, patch_hierarchy, data_time); f_fcn.setDataOnPatchHierarchy(e_side_idx, e_side_var, patch_hierarchy, data_time); mu_fcn.setDataOnPatchHierarchy(mu_node_idx, mu_node_var, patch_hierarchy, data_time); // Create an object to communicate ghost cell data. typedef HierarchyGhostCellInterpolation::InterpolationTransactionComponent InterpolationTransactionComponent; InterpolationTransactionComponent u_transaction(u_side_idx, "CUBIC_COARSEN", "LINEAR"); InterpolationTransactionComponent mu_transaction(mu_node_idx, "CONSTANT_COARSEN", "LINEAR"); vector<InterpolationTransactionComponent> transactions(2); transactions[0] = u_transaction; transactions[1] = mu_transaction; Pointer<HierarchyGhostCellInterpolation> bdry_fill_op = new HierarchyGhostCellInterpolation(); bdry_fill_op->initializeOperatorState(transactions, patch_hierarchy); // Create the math operations object and get the patch data index for // the side-centered weighting factor. HierarchyMathOps hier_math_ops("hier_math_ops", patch_hierarchy); const int dx_side_idx = hier_math_ops.getSideWeightPatchDescriptorIndex(); // Compute (f0,f1) := div mu (grad(u0,u1) + grad(u0,u1)^T). hier_math_ops.vc_laplace(f_side_idx, f_side_var, 1.0, 0.0, mu_node_idx, mu_node_var, u_side_idx, u_side_var, bdry_fill_op, data_time); // Compute error and print error norms. Pointer<HierarchyDataOpsReal<NDIM, double> > hier_side_data_ops = HierarchyDataOpsManager<NDIM>::getManager()->getOperationsDouble(u_side_var, patch_hierarchy, true); hier_side_data_ops->subtract(e_side_idx, e_side_idx, f_side_idx); // computes e := e - f pout << "|e|_oo = " << hier_side_data_ops->maxNorm(e_side_idx, dx_side_idx) << "\n"; pout << "|e|_2 = " << hier_side_data_ops->L2Norm(e_side_idx, dx_side_idx) << "\n"; pout << "|e|_1 = " << hier_side_data_ops->L1Norm(e_side_idx, dx_side_idx) << "\n"; // Interpolate the side-centered data to cell centers for output. static const bool synch_cf_interface = true; hier_math_ops.interp(u_cell_idx, u_cell_var, u_side_idx, u_side_var, NULL, data_time, synch_cf_interface); hier_math_ops.interp(f_cell_idx, f_cell_var, f_side_idx, f_side_var, NULL, data_time, synch_cf_interface); hier_math_ops.interp(e_cell_idx, e_cell_var, e_side_idx, e_side_var, NULL, data_time, synch_cf_interface); // Output data for plotting. visit_data_writer->writePlotData(patch_hierarchy, 0, data_time); } // cleanup dynamically allocated objects prior to shutdown SAMRAIManager::shutdown(); PetscFinalize(); return 0; } // main
/******************************************************************************* * For each run, the input filename and restart information (if needed) must * * be given on the command line. For non-restarted case, command line is: * * * * executable <input file name> * * * * For restarted run, command line is: * * * * executable <input file name> <restart directory> <restart number> * * * *******************************************************************************/ int main( int argc, char *argv[]) { // Initialize MPI and SAMRAI. SAMRAI_MPI::init(&argc, &argv); SAMRAI_MPI::setCallAbortInSerialInsteadOfExit(); SAMRAIManager::startup(); {// cleanup dynamically allocated objects prior to shutdown // Parse command line options, set some standard options from the input // file, initialize the restart database (if this is a restarted run), // and enable file logging. Pointer<AppInitializer> app_initializer = new AppInitializer(argc, argv, "advect.log"); Pointer<Database> input_db = app_initializer->getInputDatabase(); Pointer<Database> main_db = app_initializer->getComponentDatabase("Main"); // Get various standard options set in the input file. const bool dump_viz_data = app_initializer->dumpVizData(); const int viz_dump_interval = app_initializer->getVizDumpInterval(); const bool uses_visit = dump_viz_data && app_initializer->getVisItDataWriter(); const bool dump_restart_data = app_initializer->dumpRestartData(); const int restart_dump_interval = app_initializer->getRestartDumpInterval(); const string restart_dump_dirname = app_initializer->getRestartDumpDirectory(); const bool dump_timer_data = app_initializer->dumpTimerData(); const int timer_dump_interval = app_initializer->getTimerDumpInterval(); // Get solver configuration options. bool using_refined_timestepping = false; if (main_db->keyExists("timestepping")) { string timestepping_method = main_db->getString("timestepping"); if (timestepping_method == "SYNCHRONIZED") { using_refined_timestepping = false; } else { using_refined_timestepping = true; } } if (using_refined_timestepping) { pout << "using subcycled timestepping.\n"; } else { pout << "NOT using subcycled timestepping.\n"; } // Create major algorithm and data objects that comprise the // application. These objects are configured from the input database // and, if this is a restarted run, from the restart database. Pointer<AdvectorExplicitPredictorStrategy> explicit_predictor = new AdvectorExplicitPredictorStrategy( "AdvectorExplicitPredictorStrategy", app_initializer->getComponentDatabase("AdvectorExplicitPredictorStrategy")); Pointer<CartesianGridGeometry<NDIM> > grid_geometry = new CartesianGridGeometry<NDIM>( "CartesianGeometry", app_initializer->getComponentDatabase("CartesianGeometry")); Pointer<AdvectorPredictorCorrectorHyperbolicPatchOps> hyp_patch_ops = new AdvectorPredictorCorrectorHyperbolicPatchOps( "AdvectorPredictorCorrectorHyperbolicPatchOps", app_initializer->getComponentDatabase("AdvectorPredictorCorrectorHyperbolicPatchOps"), explicit_predictor, grid_geometry); Pointer<HyperbolicLevelIntegrator<NDIM> > hyp_level_integrator = new HyperbolicLevelIntegrator<NDIM>( "HyperbolicLevelIntegrator", app_initializer->getComponentDatabase("HyperbolicLevelIntegrator"), hyp_patch_ops, true, using_refined_timestepping); Pointer<PatchHierarchy<NDIM> > patch_hierarchy = new PatchHierarchy<NDIM>( "PatchHierarchy", grid_geometry); Pointer<StandardTagAndInitialize<NDIM> > error_detector = new StandardTagAndInitialize<NDIM>( "StandardTagAndInitialize", hyp_level_integrator, app_initializer->getComponentDatabase("StandardTagAndInitialize")); Pointer<BergerRigoutsos<NDIM> > box_generator = new BergerRigoutsos<NDIM>(); Pointer<LoadBalancer<NDIM> > load_balancer = new LoadBalancer<NDIM>( "LoadBalancer", app_initializer->getComponentDatabase("LoadBalancer")); Pointer<GriddingAlgorithm<NDIM> > gridding_algorithm = new GriddingAlgorithm<NDIM>( "GriddingAlgorithm", app_initializer->getComponentDatabase("GriddingAlgorithm"), error_detector, box_generator, load_balancer); Pointer<TimeRefinementIntegrator<NDIM> > time_integrator = new TimeRefinementIntegrator<NDIM>( "TimeRefinementIntegrator", app_initializer->getComponentDatabase("TimeRefinementIntegrator"), patch_hierarchy, hyp_level_integrator, gridding_algorithm); // Setup the advection velocity. const bool u_is_div_free = main_db->getBoolWithDefault("u_is_div_free", false); if (u_is_div_free) { pout << "advection velocity u is discretely divergence free.\n"; } else { pout << "advection velocity u is NOT discretely divergence free.\n"; } Pointer<FaceVariable<NDIM,double> > u_var = new FaceVariable<NDIM,double>("u"); UFunction u_fcn("UFunction", grid_geometry, app_initializer->getComponentDatabase("UFunction")); hyp_patch_ops->registerAdvectionVelocity(u_var); hyp_patch_ops->setAdvectionVelocityIsDivergenceFree(u_var, u_is_div_free); hyp_patch_ops->setAdvectionVelocityFunction(u_var, Pointer<CartGridFunction>(&u_fcn,false)); // Setup the advected quantity. const ConvectiveDifferencingType difference_form = IBAMR::string_to_enum<ConvectiveDifferencingType>( main_db->getStringWithDefault( "difference_form", IBAMR::enum_to_string<ConvectiveDifferencingType>(ADVECTIVE))); pout << "solving the advection equation in " << enum_to_string<ConvectiveDifferencingType>(difference_form) << " form.\n"; Pointer<CellVariable<NDIM,double> > Q_var = new CellVariable<NDIM,double>("Q"); QInit Q_init("QInit", grid_geometry, app_initializer->getComponentDatabase("QInit")); LocationIndexRobinBcCoefs<NDIM> physical_bc_coef( "physical_bc_coef", app_initializer->getComponentDatabase("LocationIndexRobinBcCoefs")); hyp_patch_ops->registerTransportedQuantity(Q_var); hyp_patch_ops->setAdvectionVelocity(Q_var, u_var); hyp_patch_ops->setConvectiveDifferencingType(Q_var, difference_form); hyp_patch_ops->setInitialConditions(Q_var, Pointer<CartGridFunction>(&Q_init,false)); hyp_patch_ops->setPhysicalBcCoefs(Q_var, &physical_bc_coef); // Set up visualization plot file writer. Pointer<VisItDataWriter<NDIM> > visit_data_writer = app_initializer->getVisItDataWriter(); if (uses_visit) hyp_patch_ops->registerVisItDataWriter(visit_data_writer); // Initialize hierarchy configuration and data on all patches. double dt_now = time_integrator->initializeHierarchy(); // Deallocate initialization objects. app_initializer.setNull(); // Print the input database contents to the log file. plog << "Input database:\n"; input_db->printClassData(plog); // Write out initial visualization data. int iteration_num = time_integrator->getIntegratorStep(); double loop_time = time_integrator->getIntegratorTime(); if (dump_viz_data && uses_visit) { pout << "\n\nWriting visualization files...\n\n"; visit_data_writer->writePlotData(patch_hierarchy, iteration_num, loop_time); } // Main time step loop. double loop_time_end = time_integrator->getEndTime(); while (!MathUtilities<double>::equalEps(loop_time,loop_time_end) && time_integrator->stepsRemaining()) { iteration_num = time_integrator->getIntegratorStep(); loop_time = time_integrator->getIntegratorTime(); pout << "\n"; pout << "+++++++++++++++++++++++++++++++++++++++++++++++++++\n"; pout << "At beginning of timestep # " << iteration_num << "\n"; pout << "Simulation time is " << loop_time << "\n"; double dt_new = time_integrator->advanceHierarchy(dt_now); loop_time += dt_now; dt_now = dt_new; pout << "\n"; pout << "At end of timestep # " << iteration_num << "\n"; pout << "Simulation time is " << loop_time << "\n"; pout << "+++++++++++++++++++++++++++++++++++++++++++++++++++\n"; pout << "\n"; // At specified intervals, write visualization and restart files, // and print out timer data. iteration_num += 1; const bool last_step = !time_integrator->stepsRemaining(); if (dump_viz_data && uses_visit && (iteration_num%viz_dump_interval == 0 || last_step)) { pout << "\nWriting visualization files...\n\n"; visit_data_writer->writePlotData(patch_hierarchy, iteration_num, loop_time); } if (dump_restart_data && (iteration_num%restart_dump_interval == 0 || last_step)) { pout << "\nWriting restart files...\n\nn"; RestartManager::getManager()->writeRestartFile(restart_dump_dirname, iteration_num); } if (dump_timer_data && (iteration_num%timer_dump_interval == 0 || last_step)) { pout << "\nWriting timer data...\n\n"; TimerManager::getManager()->print(plog); } } // Determine the accuracy of the computed solution. pout << "\n" << "+++++++++++++++++++++++++++++++++++++++++++++++++++\n" << "Computing error norms.\n\n"; VariableDatabase<NDIM>* var_db = VariableDatabase<NDIM>::getDatabase(); const Pointer<VariableContext> Q_ctx = hyp_level_integrator->getCurrentContext(); const int Q_idx = var_db->mapVariableAndContextToIndex(Q_var, Q_ctx); const int Q_cloned_idx = var_db->registerClonedPatchDataIndex(Q_var, Q_idx); const int coarsest_ln = 0; const int finest_ln = patch_hierarchy->getFinestLevelNumber(); for (int ln = coarsest_ln; ln <= finest_ln; ++ln) { patch_hierarchy->getPatchLevel(ln)->allocatePatchData(Q_cloned_idx, loop_time); } Q_init.setDataOnPatchHierarchy(Q_cloned_idx, Q_var, patch_hierarchy, loop_time); HierarchyMathOps hier_math_ops("HierarchyMathOps", patch_hierarchy); hier_math_ops.setPatchHierarchy(patch_hierarchy); hier_math_ops.resetLevels(coarsest_ln, finest_ln); const int wgt_idx = hier_math_ops.getCellWeightPatchDescriptorIndex(); HierarchyCellDataOpsReal<NDIM,double> hier_cc_data_ops(patch_hierarchy, coarsest_ln, finest_ln); hier_cc_data_ops.subtract(Q_idx, Q_idx, Q_cloned_idx); pout << "Error in " << Q_var->getName() << " at time " << loop_time << ":\n" << " L1-norm: " << hier_cc_data_ops.L1Norm(Q_idx,wgt_idx) << "\n" << " L2-norm: " << hier_cc_data_ops.L2Norm(Q_idx,wgt_idx) << "\n" << " max-norm: " << hier_cc_data_ops.maxNorm(Q_idx,wgt_idx) << "\n" << "+++++++++++++++++++++++++++++++++++++++++++++++++++\n"; if (dump_viz_data && uses_visit) { visit_data_writer->writePlotData(patch_hierarchy, iteration_num+1, loop_time); } }// cleanup dynamically allocated objects prior to shutdown SAMRAIManager::shutdown(); SAMRAI_MPI::finalize(); return 0; }// main
/******************************************************************************* * For each run, the input filename must be given on the command line. In all * * cases, the command line is: * * * * executable <input file name> * * * *******************************************************************************/ int main(int argc, char* argv[]) { // Initialize PETSc, MPI, and SAMRAI. PetscInitialize(&argc, &argv, NULL, NULL); SAMRAI_MPI::setCommunicator(PETSC_COMM_WORLD); SAMRAI_MPI::setCallAbortInSerialInsteadOfExit(); SAMRAIManager::startup(); { // cleanup dynamically allocated objects prior to shutdown // Parse command line options, set some standard options from the input // file, and enable file logging. Pointer<AppInitializer> app_initializer = new AppInitializer(argc, argv, "sc_poisson.log"); Pointer<Database> input_db = app_initializer->getInputDatabase(); // Create major algorithm and data objects that comprise the // application. These objects are configured from the input database. Pointer<CartesianGridGeometry<NDIM> > grid_geometry = new CartesianGridGeometry<NDIM>( "CartesianGeometry", app_initializer->getComponentDatabase("CartesianGeometry")); Pointer<PatchHierarchy<NDIM> > patch_hierarchy = new PatchHierarchy<NDIM>("PatchHierarchy", grid_geometry); Pointer<StandardTagAndInitialize<NDIM> > error_detector = new StandardTagAndInitialize<NDIM>( "StandardTagAndInitialize", NULL, app_initializer->getComponentDatabase("StandardTagAndInitialize")); Pointer<BergerRigoutsos<NDIM> > box_generator = new BergerRigoutsos<NDIM>(); Pointer<LoadBalancer<NDIM> > load_balancer = new LoadBalancer<NDIM>("LoadBalancer", app_initializer->getComponentDatabase("LoadBalancer")); Pointer<GriddingAlgorithm<NDIM> > gridding_algorithm = new GriddingAlgorithm<NDIM>("GriddingAlgorithm", app_initializer->getComponentDatabase("GriddingAlgorithm"), error_detector, box_generator, load_balancer); // Create variables and register them with the variable database. VariableDatabase<NDIM>* var_db = VariableDatabase<NDIM>::getDatabase(); Pointer<VariableContext> ctx = var_db->getContext("context"); Pointer<SideVariable<NDIM, double> > u_sc_var = new SideVariable<NDIM, double>("u_sc"); Pointer<SideVariable<NDIM, double> > f_sc_var = new SideVariable<NDIM, double>("f_sc"); Pointer<SideVariable<NDIM, double> > e_sc_var = new SideVariable<NDIM, double>("e_sc"); Pointer<SideVariable<NDIM, double> > r_sc_var = new SideVariable<NDIM, double>("r_sc"); const int u_sc_idx = var_db->registerVariableAndContext(u_sc_var, ctx, IntVector<NDIM>(1)); const int f_sc_idx = var_db->registerVariableAndContext(f_sc_var, ctx, IntVector<NDIM>(1)); const int e_sc_idx = var_db->registerVariableAndContext(e_sc_var, ctx, IntVector<NDIM>(1)); const int r_sc_idx = var_db->registerVariableAndContext(r_sc_var, ctx, IntVector<NDIM>(1)); Pointer<CellVariable<NDIM, double> > u_cc_var = new CellVariable<NDIM, double>("u_cc", NDIM); Pointer<CellVariable<NDIM, double> > f_cc_var = new CellVariable<NDIM, double>("f_cc", NDIM); Pointer<CellVariable<NDIM, double> > e_cc_var = new CellVariable<NDIM, double>("e_cc", NDIM); Pointer<CellVariable<NDIM, double> > r_cc_var = new CellVariable<NDIM, double>("r_cc", NDIM); const int u_cc_idx = var_db->registerVariableAndContext(u_cc_var, ctx, IntVector<NDIM>(0)); const int f_cc_idx = var_db->registerVariableAndContext(f_cc_var, ctx, IntVector<NDIM>(0)); const int e_cc_idx = var_db->registerVariableAndContext(e_cc_var, ctx, IntVector<NDIM>(0)); const int r_cc_idx = var_db->registerVariableAndContext(r_cc_var, ctx, IntVector<NDIM>(0)); // Register variables for plotting. Pointer<VisItDataWriter<NDIM> > visit_data_writer = app_initializer->getVisItDataWriter(); TBOX_ASSERT(visit_data_writer); visit_data_writer->registerPlotQuantity(u_cc_var->getName(), "VECTOR", u_cc_idx); for (unsigned int d = 0; d < NDIM; ++d) { ostringstream stream; stream << d; visit_data_writer->registerPlotQuantity(u_cc_var->getName() + stream.str(), "SCALAR", u_cc_idx, d); } visit_data_writer->registerPlotQuantity(f_cc_var->getName(), "VECTOR", f_cc_idx); for (unsigned int d = 0; d < NDIM; ++d) { ostringstream stream; stream << d; visit_data_writer->registerPlotQuantity(f_cc_var->getName() + stream.str(), "SCALAR", f_cc_idx, d); } visit_data_writer->registerPlotQuantity(e_cc_var->getName(), "VECTOR", e_cc_idx); for (unsigned int d = 0; d < NDIM; ++d) { ostringstream stream; stream << d; visit_data_writer->registerPlotQuantity(e_cc_var->getName() + stream.str(), "SCALAR", e_cc_idx, d); } visit_data_writer->registerPlotQuantity(r_cc_var->getName(), "VECTOR", r_cc_idx); for (unsigned int d = 0; d < NDIM; ++d) { ostringstream stream; stream << d; visit_data_writer->registerPlotQuantity(r_cc_var->getName() + stream.str(), "SCALAR", r_cc_idx, d); } // Initialize the AMR patch hierarchy. gridding_algorithm->makeCoarsestLevel(patch_hierarchy, 0.0); int tag_buffer = 1; int level_number = 0; bool done = false; while (!done && (gridding_algorithm->levelCanBeRefined(level_number))) { gridding_algorithm->makeFinerLevel(patch_hierarchy, 0.0, 0.0, tag_buffer); done = !patch_hierarchy->finerLevelExists(level_number); ++level_number; } // Allocate data on each level of the patch hierarchy. for (int ln = 0; ln <= patch_hierarchy->getFinestLevelNumber(); ++ln) { Pointer<PatchLevel<NDIM> > level = patch_hierarchy->getPatchLevel(ln); level->allocatePatchData(u_sc_idx, 0.0); level->allocatePatchData(f_sc_idx, 0.0); level->allocatePatchData(e_sc_idx, 0.0); level->allocatePatchData(r_sc_idx, 0.0); level->allocatePatchData(u_cc_idx, 0.0); level->allocatePatchData(f_cc_idx, 0.0); level->allocatePatchData(e_cc_idx, 0.0); level->allocatePatchData(r_cc_idx, 0.0); } // Setup vector objects. HierarchyMathOps hier_math_ops("hier_math_ops", patch_hierarchy); const int h_sc_idx = hier_math_ops.getSideWeightPatchDescriptorIndex(); SAMRAIVectorReal<NDIM, double> u_vec("u", patch_hierarchy, 0, patch_hierarchy->getFinestLevelNumber()); SAMRAIVectorReal<NDIM, double> f_vec("f", patch_hierarchy, 0, patch_hierarchy->getFinestLevelNumber()); SAMRAIVectorReal<NDIM, double> e_vec("e", patch_hierarchy, 0, patch_hierarchy->getFinestLevelNumber()); SAMRAIVectorReal<NDIM, double> r_vec("r", patch_hierarchy, 0, patch_hierarchy->getFinestLevelNumber()); u_vec.addComponent(u_sc_var, u_sc_idx, h_sc_idx); f_vec.addComponent(f_sc_var, f_sc_idx, h_sc_idx); e_vec.addComponent(e_sc_var, e_sc_idx, h_sc_idx); r_vec.addComponent(r_sc_var, r_sc_idx, h_sc_idx); u_vec.setToScalar(0.0); f_vec.setToScalar(0.0); e_vec.setToScalar(0.0); r_vec.setToScalar(0.0); // Setup exact solutions. muParserCartGridFunction u_fcn("u", app_initializer->getComponentDatabase("u"), grid_geometry); muParserCartGridFunction f_fcn("f", app_initializer->getComponentDatabase("f"), grid_geometry); u_fcn.setDataOnPatchHierarchy(e_sc_idx, e_sc_var, patch_hierarchy, 0.0); f_fcn.setDataOnPatchHierarchy(f_sc_idx, f_sc_var, patch_hierarchy, 0.0); // Setup the Poisson solver. PoissonSpecifications poisson_spec("poisson_spec"); poisson_spec.setCConstant(0.0); poisson_spec.setDConstant(-1.0); vector<RobinBcCoefStrategy<NDIM>*> bc_coefs(NDIM, static_cast<RobinBcCoefStrategy<NDIM>*>(NULL)); SCLaplaceOperator laplace_op("laplace_op"); laplace_op.setPoissonSpecifications(poisson_spec); laplace_op.setPhysicalBcCoefs(bc_coefs); laplace_op.initializeOperatorState(u_vec, f_vec); string solver_type = input_db->getString("solver_type"); Pointer<Database> solver_db = input_db->getDatabase("solver_db"); string precond_type = input_db->getString("precond_type"); Pointer<Database> precond_db = input_db->getDatabase("precond_db"); Pointer<PoissonSolver> poisson_solver = SCPoissonSolverManager::getManager()->allocateSolver( solver_type, "poisson_solver", solver_db, "", precond_type, "poisson_precond", precond_db, ""); poisson_solver->setPoissonSpecifications(poisson_spec); poisson_solver->setPhysicalBcCoefs(bc_coefs); poisson_solver->initializeSolverState(u_vec, f_vec); // Solve -L*u = f. u_vec.setToScalar(0.0); poisson_solver->solveSystem(u_vec, f_vec); // Compute error and print error norms. e_vec.subtract(Pointer<SAMRAIVectorReal<NDIM, double> >(&e_vec, false), Pointer<SAMRAIVectorReal<NDIM, double> >(&u_vec, false)); pout << "|e|_oo = " << e_vec.maxNorm() << "\n"; pout << "|e|_2 = " << e_vec.L2Norm() << "\n"; pout << "|e|_1 = " << e_vec.L1Norm() << "\n"; // Compute the residual and print residual norms. laplace_op.apply(u_vec, r_vec); r_vec.subtract(Pointer<SAMRAIVectorReal<NDIM, double> >(&f_vec, false), Pointer<SAMRAIVectorReal<NDIM, double> >(&r_vec, false)); pout << "|r|_oo = " << r_vec.maxNorm() << "\n"; pout << "|r|_2 = " << r_vec.L2Norm() << "\n"; pout << "|r|_1 = " << r_vec.L1Norm() << "\n"; // Interpolate the side-centered data to cell centers for output. static const bool synch_cf_interface = true; hier_math_ops.interp(u_cc_idx, u_cc_var, u_sc_idx, u_sc_var, NULL, 0.0, synch_cf_interface); hier_math_ops.interp(f_cc_idx, f_cc_var, f_sc_idx, f_sc_var, NULL, 0.0, synch_cf_interface); hier_math_ops.interp(e_cc_idx, e_cc_var, e_sc_idx, e_sc_var, NULL, 0.0, synch_cf_interface); hier_math_ops.interp(r_cc_idx, r_cc_var, r_sc_idx, r_sc_var, NULL, 0.0, synch_cf_interface); // Set invalid values on coarse levels (i.e., coarse-grid values that // are covered by finer grid patches) to equal zero. for (int ln = 0; ln <= patch_hierarchy->getFinestLevelNumber() - 1; ++ln) { Pointer<PatchLevel<NDIM> > level = patch_hierarchy->getPatchLevel(ln); BoxArray<NDIM> refined_region_boxes; Pointer<PatchLevel<NDIM> > next_finer_level = patch_hierarchy->getPatchLevel(ln + 1); refined_region_boxes = next_finer_level->getBoxes(); refined_region_boxes.coarsen(next_finer_level->getRatioToCoarserLevel()); for (PatchLevel<NDIM>::Iterator p(level); p; p++) { Pointer<Patch<NDIM> > patch = level->getPatch(p()); const Box<NDIM>& patch_box = patch->getBox(); Pointer<CellData<NDIM, double> > e_cc_data = patch->getPatchData(e_cc_idx); Pointer<CellData<NDIM, double> > r_cc_data = patch->getPatchData(r_cc_idx); for (int i = 0; i < refined_region_boxes.getNumberOfBoxes(); ++i) { const Box<NDIM> refined_box = refined_region_boxes[i]; const Box<NDIM> intersection = Box<NDIM>::grow(patch_box, 1) * refined_box; if (!intersection.empty()) { e_cc_data->fillAll(0.0, intersection); r_cc_data->fillAll(0.0, intersection); } } } } // Output data for plotting. visit_data_writer->writePlotData(patch_hierarchy, 0, 0.0); } // cleanup dynamically allocated objects prior to shutdown SAMRAIManager::shutdown(); PetscFinalize(); return 0; } // main
/******************************************************************************* * For each run, the input filename must be given on the command line. In all * * cases, the command line is: * * * * executable <input file name> * * * *******************************************************************************/ bool run_example(int argc, char* argv[]) { // Initialize PETSc, MPI, and SAMRAI. PetscInitialize(&argc, &argv, NULL, NULL); SAMRAI_MPI::setCommunicator(PETSC_COMM_WORLD); SAMRAI_MPI::setCallAbortInSerialInsteadOfExit(); SAMRAIManager::startup(); // Since SAMRAI and PETSc both require finalization routines we have to // ensure that no SAMRAI or PETSc objects are active at the point where we // call SAMRAIManager::shutdown() or PetscFinalize. Hence, to guarantee // that all objects are cleaned up by that point, we put everything we use // in an inner scope. { // Parse command line options, set some standard options from the input // file, and enable file logging. Pointer<AppInitializer> app_initializer = new AppInitializer(argc, argv, "cc_laplace.log"); Pointer<Database> input_db = app_initializer->getInputDatabase(); // Create major algorithm and data objects that comprise the // application. These objects are configured from the input // database. Nearly all SAMRAI applications (at least those in IBAMR) // start by setting up the same half-dozen objects. Pointer<CartesianGridGeometry<NDIM> > grid_geometry = new CartesianGridGeometry<NDIM>( "CartesianGeometry", app_initializer->getComponentDatabase("CartesianGeometry")); Pointer<PatchHierarchy<NDIM> > patch_hierarchy = new PatchHierarchy<NDIM>("PatchHierarchy", grid_geometry); Pointer<StandardTagAndInitialize<NDIM> > error_detector = new StandardTagAndInitialize<NDIM>( "StandardTagAndInitialize", NULL, app_initializer->getComponentDatabase("StandardTagAndInitialize")); Pointer<BergerRigoutsos<NDIM> > box_generator = new BergerRigoutsos<NDIM>(); Pointer<LoadBalancer<NDIM> > load_balancer = new LoadBalancer<NDIM>("LoadBalancer", app_initializer->getComponentDatabase("LoadBalancer")); Pointer<GriddingAlgorithm<NDIM> > gridding_algorithm = new GriddingAlgorithm<NDIM>("GriddingAlgorithm", app_initializer->getComponentDatabase("GriddingAlgorithm"), error_detector, box_generator, load_balancer); // Create variables and register them with the variable database. VariableDatabase<NDIM>* var_db = VariableDatabase<NDIM>::getDatabase(); Pointer<VariableContext> ctx = var_db->getContext("context"); // We create a variable for every vector we ultimately declare, // instead of creating and then cloning vectors. The rationale for // this is given below. Pointer<CellVariable<NDIM, double> > u_cc_var = new CellVariable<NDIM, double>("u_cc"); Pointer<CellVariable<NDIM, double> > f_cc_var = new CellVariable<NDIM, double>("f_cc"); Pointer<CellVariable<NDIM, double> > e_cc_var = new CellVariable<NDIM, double>("e_cc"); Pointer<CellVariable<NDIM, double> > f_approx_cc_var = new CellVariable<NDIM, double>("f_approx_cc"); // Internally, SAMRAI keeps track of variables (and their // corresponding vectors, data, etc.) by converting them to // indices. Here we get the indices after notifying the variable // database about them. const int u_cc_idx = var_db->registerVariableAndContext(u_cc_var, ctx, IntVector<NDIM>(1)); const int f_cc_idx = var_db->registerVariableAndContext(f_cc_var, ctx, IntVector<NDIM>(1)); const int e_cc_idx = var_db->registerVariableAndContext(e_cc_var, ctx, IntVector<NDIM>(1)); const int f_approx_cc_idx = var_db->registerVariableAndContext(f_approx_cc_var, ctx, IntVector<NDIM>(1)); // Register variables for plotting. Pointer<VisItDataWriter<NDIM> > visit_data_writer = app_initializer->getVisItDataWriter(); TBOX_ASSERT(visit_data_writer); visit_data_writer->registerPlotQuantity(u_cc_var->getName(), "SCALAR", u_cc_idx); visit_data_writer->registerPlotQuantity(f_cc_var->getName(), "SCALAR", f_cc_idx); visit_data_writer->registerPlotQuantity(f_approx_cc_var->getName(), "SCALAR", f_approx_cc_idx); visit_data_writer->registerPlotQuantity(e_cc_var->getName(), "SCALAR", e_cc_idx); // Initialize the AMR patch hierarchy. This sets up the coarsest level // (level 0) as well as any other levels specified in the input // file. We normally use the value tag_buffer to specify the number of // cells between a patch on level N and a patch on level N - 2: // however, SAMRAI ignores this value when setting up a hierarchy from // an input file so we just set it to an invalid value. gridding_algorithm->makeCoarsestLevel(patch_hierarchy, 0.0); const int tag_buffer = std::numeric_limits<int>::max(); int level_number = 0; while ((gridding_algorithm->levelCanBeRefined(level_number))) { gridding_algorithm->makeFinerLevel(patch_hierarchy, 0.0, 0.0, tag_buffer); ++level_number; } const int finest_level = patch_hierarchy->getFinestLevelNumber(); // Allocate data for each variable on each level of the patch // hierarchy. for (int ln = 0; ln <= finest_level; ++ln) { Pointer<PatchLevel<NDIM> > level = patch_hierarchy->getPatchLevel(ln); level->allocatePatchData(u_cc_idx, 0.0); level->allocatePatchData(f_cc_idx, 0.0); level->allocatePatchData(e_cc_idx, 0.0); level->allocatePatchData(f_approx_cc_idx, 0.0); } // By default, the norms defined on SAMRAI vectors are vectors in R^n: // however, in IBAMR we almost always want to use a norm that // corresponds to a numerical quadrature. To do this we have to // associate each vector with a set of cell-centered volumes. Rather // than set this up manually, we rely on an IBTK utility class that // computes this (as well as many other things!). These values are // known as `cell weights' in this context, so we get the ID of the // associated data by asking for that. Behind the scenes // HierarchyMathOps sets up the necessary cell-centered variables and // registers them with the usual SAMRAI objects: all we need to do is // ask for the ID. Due to the way SAMRAI works these calls must occur HierarchyMathOps hier_math_ops("hier_math_ops", patch_hierarchy); const int cv_cc_idx = hier_math_ops.getCellWeightPatchDescriptorIndex(); // SAMRAI patches do not store data as a single contiguous arrays; // instead, each hierarchy contains several contiguous arrays. Hence, // to do linear algebra, we rely on SAMRAI's own vector class which // understands these relationships. We begin by initializing each // vector with the patch hierarchy: SAMRAIVectorReal<NDIM, double> u_vec("u", patch_hierarchy, 0, finest_level); SAMRAIVectorReal<NDIM, double> f_vec("f", patch_hierarchy, 0, finest_level); SAMRAIVectorReal<NDIM, double> f_approx_vec("f_approx", patch_hierarchy, 0, finest_level); SAMRAIVectorReal<NDIM, double> e_vec("e", patch_hierarchy, 0, finest_level); // and then associate them with, in each case, the relevant // component. Note that adding the components in this way will // register the vector with the visit data writer declared above and // we will compute cell integrals over the entire domain with respect // to the control volumes defined by cv_cc_idx. u_vec.addComponent(u_cc_var, u_cc_idx, cv_cc_idx); f_vec.addComponent(f_cc_var, f_cc_idx, cv_cc_idx); f_approx_vec.addComponent(f_approx_cc_var, f_approx_cc_idx, cv_cc_idx); e_vec.addComponent(e_cc_var, e_cc_idx, cv_cc_idx); // By default, in SAMRAI, if we create another vector as // // SAMRAIVectorReal<NDIM, double> f_approx_vec("f_approx", patch_hierarchy, 0, finest_level); // // we will simply get a shallow copy of the u vector: put another way, // the two vectors will have different names but refer to the same // numerical values. Unfortunately cloning the vector doesn't work // either: the following code // // tbox::Pointer<SAMRAIVectorReal<NDIM, double> > f_approx = u_vec.cloneVector("f_approx"); // SAMRAIVectorReal<NDIM, double> &f_approx_vec = *f_approx; // f_approx_vec.setToScalar(0.0, false); // // crashes in SAMRAI 2.4.4 with a failed assertion referring to an // unknown variable ID. While ambiguous, the error message is not // wrong: we have to explicitly allocate data for each variable, so // creating a new anonymous variable for a cloned vector does not make // much sense. // Zero the vectors, including possible ghost data: u_vec.setToScalar(0.0, false); f_vec.setToScalar(0.0, false); f_approx_vec.setToScalar(0.0, false); e_vec.setToScalar(0.0, false); // Next, we use functions defined with muParser to set up the right // hand side and solution. These functions are read from the input // database and can be changed without recompiling. { muParserCartGridFunction u_fcn("u", app_initializer->getComponentDatabase("u"), grid_geometry); muParserCartGridFunction f_fcn("f", app_initializer->getComponentDatabase("f"), grid_geometry); u_fcn.setDataOnPatchHierarchy(u_cc_idx, u_cc_var, patch_hierarchy, 0.0); f_fcn.setDataOnPatchHierarchy(f_cc_idx, f_cc_var, patch_hierarchy, 0.0); } // Compute -L*u = f. PoissonSpecifications poisson_spec("poisson_spec"); poisson_spec.setCConstant(0.0); poisson_spec.setDConstant(-1.0); RobinBcCoefStrategy<NDIM>* bc_coef = NULL; CCLaplaceOperator laplace_op("laplace op"); laplace_op.setPoissonSpecifications(poisson_spec); laplace_op.setPhysicalBcCoef(bc_coef); laplace_op.initializeOperatorState(u_vec, f_vec); laplace_op.apply(u_vec, f_approx_vec); // Compute error and print error norms. Here we create temporary smart // pointers that will not delete the underlying object since the // second argument to the constructor is false. e_vec.subtract(Pointer<SAMRAIVectorReal<NDIM, double> >(&f_vec, false), Pointer<SAMRAIVectorReal<NDIM, double> >(&f_approx_vec, false)); pout << "|e|_oo = " << e_vec.maxNorm() << "\n"; pout << "|e|_2 = " << e_vec.L2Norm() << "\n"; pout << "|e|_1 = " << e_vec.L1Norm() << "\n"; // Finally, we clean up the output by setting error values on patches // on coarser levels which are covered by finer levels to zero. for (int ln = 0; ln < finest_level; ++ln) { Pointer<PatchLevel<NDIM> > level = patch_hierarchy->getPatchLevel(ln); Pointer<PatchLevel<NDIM> > next_finer_level = patch_hierarchy->getPatchLevel(ln + 1); BoxArray<NDIM> refined_region_boxes = next_finer_level->getBoxes(); refined_region_boxes.coarsen(next_finer_level->getRatioToCoarserLevel()); for (PatchLevel<NDIM>::Iterator p(level); p; p++) { const Patch<NDIM>& patch = *level->getPatch(p()); const Box<NDIM>& patch_box = patch.getBox(); Pointer<CellData<NDIM, double> > e_cc_data = patch.getPatchData(e_cc_idx); for (int i = 0; i < refined_region_boxes.getNumberOfBoxes(); ++i) { const Box<NDIM>& refined_box = refined_region_boxes[i]; // Box::operator* returns the intersection of two boxes. const Box<NDIM>& intersection = patch_box * refined_box; if (!intersection.empty()) { e_cc_data->fillAll(0.0, intersection); } } } } // Output data for plotting. visit_data_writer->writePlotData(patch_hierarchy, 0, 0.0); } // At this point all SAMRAI, PETSc, and IBAMR objects have been cleaned // up, so we shut things down in the opposite order of initialization: SAMRAIManager::shutdown(); PetscFinalize(); return true; } // run_example