int main(int argc, char** argv) {
Communicator* comm_unit = new Communicator(argc, argv);
ProjectSettings* settings = new ProjectSettings(argc, argv, comm_unit->getRank());
int dim = settings->GetSettingAs<int>("DIMENSION", ProjectSettings::required);
int nx = settings->GetSettingAs<int>("NB_X", ProjectSettings::required);
int ny = 1;
int nz = 1;
if (dim > 1) {
ny = settings->GetSettingAs<int>("NB_Y", ProjectSettings::required);
}
if (dim > 2) {
nz = settings->GetSettingAs<int> ("NB_Z", ProjectSettings::required);
}
if (dim > 3) {
cout << "ERROR! Dim > 3 Not supported!" << endl;
exit(EXIT_FAILURE);
}
double minX = settings->GetSettingAs<double>("MIN_X", ProjectSettings::optional, "-1.");
double maxX = settings->GetSettingAs<double>("MAX_X", ProjectSettings::optional, "1.");
double minY = settings->GetSettingAs<double>("MIN_Y", ProjectSettings::optional, "-1.");
double maxY = settings->GetSettingAs<double>("MAX_Y", ProjectSettings::optional, "1.");
double minZ = settings->GetSettingAs<double>("MIN_Z", ProjectSettings::optional, "-1.");
double maxZ = settings->GetSettingAs<double>("MAX_Z", ProjectSettings::optional, "1.");
double stencil_size = settings->GetSettingAs<int>("STENCIL_SIZE", ProjectSettings::required);
int use_gpu = settings->GetSettingAs<int>("USE_GPU", ProjectSettings::optional, "1");
Grid* grid = NULL;
if (dim == 1) {
grid = new RegularGrid(nx, 1, minX, maxX, 0., 0.);
} else if (dim == 2) {
grid = new RegularGrid(nx, ny, minX, maxX, minY, maxY);
} else if (dim == 3) {
grid = new RegularGrid(nx, ny, nz, minX, maxX, minY, maxY, minZ, maxZ);
} else {
cout << "ERROR! Dim > 3 Not Supported!" << endl;
}
grid->setSortBoundaryNodes(true);
grid->generate();
grid->generateStencils(stencil_size, Grid::ST_BRUTE_FORCE); // nearest nb_points
grid->writeToFile();
// 0: 2D problem; 1: 3D problem
//ExactSolution* exact_heat_regulargrid = new ExactRegularGrid(dim, 1.0, 1.0);
RBFFD* der;
if (use_gpu) {
der = new RBFFD_CL(RBFFD::X | RBFFD::Y | RBFFD::Z | RBFFD::LAPL, grid, dim);
} else {
der = new RBFFD(RBFFD::X | RBFFD::Y | RBFFD::Z | RBFFD::LAPL, grid, dim);
}
double epsilon = settings->GetSettingAs<double>("EPSILON");
der->setEpsilon(epsilon);
printf("start computing weights\n");
//vector<StencilType>& stencil = grid->getStencils();
vector<NodeType>& rbf_centers = grid->getNodeList();
der->computeAllWeightsForAllStencils();
cout << "end computing weights" << endl;
vector<double> u(rbf_centers.size(),1.);
cout << "start computing derivative (on CPU)" << endl;
vector<double> xderiv_cpu(rbf_centers.size());
vector<double> xderiv_gpu(rbf_centers.size());
vector<double> yderiv_cpu(rbf_centers.size());
vector<double> yderiv_gpu(rbf_centers.size());
vector<double> zderiv_cpu(rbf_centers.size());
vector<double> zderiv_gpu(rbf_centers.size());
vector<double> lderiv_cpu(rbf_centers.size());
vector<double> lderiv_gpu(rbf_centers.size());
// Verify that the CPU works
// NOTE: we pass booleans at the end of the param list to indicate that
// the function "u" is new (true) or same as previous calls (false). This
// helps avoid overhead of passing "u" to the GPU.
der->RBFFD::applyWeightsForDeriv(RBFFD::X, u, xderiv_cpu, true);
der->RBFFD::applyWeightsForDeriv(RBFFD::Y, u, yderiv_cpu, false); // originally false
der->RBFFD::applyWeightsForDeriv(RBFFD::Z, u, zderiv_cpu, false); // orig false
der->RBFFD::applyWeightsForDeriv(RBFFD::LAPL, u, lderiv_cpu, false); // orig false
der->applyWeightsForDeriv(RBFFD::X, u, xderiv_gpu, true);
der->applyWeightsForDeriv(RBFFD::Y, u, yderiv_gpu, false); // orig false
der->applyWeightsForDeriv(RBFFD::Z, u, zderiv_gpu, false); // orig: false
der->applyWeightsForDeriv(RBFFD::LAPL, u, lderiv_gpu, false); // orig: false
double max_diff = 0.;
for (size_t i = 0; i < rbf_centers.size(); i++) {
double xdiff = fabs(xderiv_gpu[i] - xderiv_cpu[i]);
double ydiff = fabs(yderiv_gpu[i] - yderiv_cpu[i]);
double zdiff = fabs(zderiv_gpu[i] - zderiv_cpu[i]);
double ldiff = fabs(lderiv_gpu[i] - lderiv_cpu[i]);
if (xdiff > max_diff) { max_diff = xdiff; }
if (ydiff > max_diff) { max_diff = ydiff; }
if (zdiff > max_diff) { max_diff = zdiff; }
if (ldiff > max_diff) { max_diff = ldiff; }
// std::cout << "cpu_x_deriv[" << i << "] - gpu_x_deriv[" << i << "] = " << xderiv_cpu[i] - xderiv_gpu[i] << std::endl;
if (( xdiff > 1e-5)
|| ( ydiff > 1e-5)
|| ( zdiff > 1e-5)
|| ( ldiff > 1e-5))
{
std::cout << "WARNING! SINGLE PRECISION GPU COULD NOT CALCULATE DERIVATIVE WELL ENOUGH!\n";
std::cout << "Test failed on " << i << std::endl;
std::cout << "X: " << xderiv_gpu[i] - xderiv_cpu[i] << std:: endl;
std::cout << "X: " << xderiv_gpu[i] << ", " << xderiv_cpu[i] << std:: endl;
std::cout << "Y: " << yderiv_gpu[i] - yderiv_cpu[i] << std:: endl;
std::cout << "Y: " << yderiv_gpu[i] << ", " << yderiv_cpu[i] << std:: endl;
std::cout << "Z: " << zderiv_gpu[i] - zderiv_cpu[i] << std:: endl;
std::cout << "Z: " << zderiv_gpu[i] << ", " << zderiv_cpu[i] << std:: endl;
std::cout << "LAPL: " << lderiv_gpu[i] - lderiv_cpu[i] << std:: endl;
exit(EXIT_FAILURE);
}
}
std::cout << "Max difference between weights: " << max_diff << std::endl;
std::cout << "CONGRATS! ALL DERIVATIVES WERE CALCULATED THE SAME IN OPENCL AND ON THE CPU\n";
// (WITH AN AVERAGE ERROR OF:" << avg_error << std::endl;
// der->applyWeightsForDeriv(RBFFD::Y, u, yderiv);
// der->applyWeightsForDeriv(RBFFD::LAPL, u, lapl_deriv);
#if 0
if (settings->GetSettingAs<int>("RUN_DERIVATIVE_TESTS")) {
RBFFDTests* der_test = new DerivativeTests();
der_test->testAllFunctions(*der, *grid);
}
#endif
// delete(subdomain);
delete(grid);
delete(settings);
cout.flush();
exit(EXIT_SUCCESS);
}
int main(int argc, char** argv) {
ProjectSettings* settings = new ProjectSettings(argc, argv);
int dim = settings->GetSettingAs<int>("DIMENSION", ProjectSettings::required);
int nb_interior = settings->GetSettingAs<int>("NB_INTERIOR", ProjectSettings::required);
int nb_inner_boundary = settings->GetSettingAs<int>("NB_INNER_BOUNDARY", ProjectSettings::optional, "0");
int nb_outer_boundary = settings->GetSettingAs<int>("NB_OUTER_BOUNDARY", ProjectSettings::optional, "0");
int nb_boundary = nb_inner_boundary + nb_outer_boundary;
int nb_total = nb_interior + nb_boundary;
if (dim > 3) {
cout << "ERROR! Dim > 3 Not supported!" << endl;
exit(EXIT_FAILURE);
}
double inner_r = settings->GetSettingAs<double>("INNER_RADIUS", ProjectSettings::optional, "0.5");
double outer_r = settings->GetSettingAs<double>("OUTER_RADIUS", ProjectSettings::optional, "1.0");
double inner_axis_major = settings->GetSettingAs<double>("INNER_AXIS_MAJOR", ProjectSettings::optional, "0.");
double inner_axis_minor = settings->GetSettingAs<double>("INNER_AXIS_MINOR", ProjectSettings::optional, "0.");
double outer_axis_major = settings->GetSettingAs<double>("OUTER_AXIS_MAJOR", ProjectSettings::optional, "0.");
double outer_axis_minor = settings->GetSettingAs<double>("OUTER_AXIS_MINOR", ProjectSettings::optional, "0.");
int ns_nx = settings->GetSettingAs<int>("NS_NB_X", ProjectSettings::optional, "10");
int ns_ny = settings->GetSettingAs<int>("NS_NB_Y", ProjectSettings::optional, "10");
int ns_nz = settings->GetSettingAs<int>("NS_NB_Z", ProjectSettings::optional, "10");
double minX = settings->GetSettingAs<double>("MIN_X", ProjectSettings::optional, "-1.");
double maxX = settings->GetSettingAs<double>("MAX_X", ProjectSettings::optional, "1.");
double minY = settings->GetSettingAs<double>("MIN_Y", ProjectSettings::optional, "-1.");
double maxY = settings->GetSettingAs<double>("MAX_Y", ProjectSettings::optional, "1.");
double minZ = settings->GetSettingAs<double>("MIN_Z", ProjectSettings::optional, "-1.");
double maxZ = settings->GetSettingAs<double>("MAX_Z", ProjectSettings::optional, "1.");
double debug = settings->GetSettingAs<int>("DEBUG", ProjectSettings::optional, "0");
// 0 = Dirichlet, 1 = neumann, 2 = robin
int boundary_condition = settings->GetSettingAs<int>("BOUNDARY_CONDITION", ProjectSettings::optional, "0");
// 0 = discrete rhs, 1 = exact (test discrete compat condition)
int use_discrete_rhs = settings->GetSettingAs<int>("USE_DISCRETE_RHS", ProjectSettings::optional, "0");
// 0 = assume non-uniform diffusion, 1 = assume uniform
int use_uniform_diffusion = settings->GetSettingAs<int>("USE_UNIFORM_DIFFUSION", ProjectSettings::optional, "1");
int run_derivative_tests = settings->GetSettingAs<int>("RUN_DERIVATIVE_TESTS", ProjectSettings::optional, "1");
int stencil_size = settings->GetSettingAs<int>("STENCIL_SIZE", ProjectSettings::required);
int use_gpu = settings->GetSettingAs<int>("USE_GPU", ProjectSettings::optional, "1");
int nb_samples = settings->GetSettingAs<int>("NB_CVT_SAMPLES", ProjectSettings::required);
int it_max_interior = settings->GetSettingAs<int>("NB_CVT_ITERATIONS", ProjectSettings::required);
// Generate a CVT with nx*ny*nz nodes, in 1, 2 or 3D with 0 locked boundary nodes,
// 20000 samples per iteration for 30 iterations
NestedEllipseCVT* grid;
if (nb_boundary) {
// Specify the exact number of nodes on the boundary
grid = new NestedEllipseCVT(nb_total, nb_inner_boundary, nb_outer_boundary, dim, new UniformDensity(), 0, nb_samples, it_max_interior);
} else {
// Guess the number of nodes on the boundary (usually looks nicer)
grid = new NestedEllipseCVT(nb_total, dim, new UniformDensity(), 0, nb_samples, it_max_interior);
}
grid->setExtents(minX, maxX, minY, maxY, minZ, maxZ);
if (!inner_axis_minor) {
grid->setInnerRadius(inner_r);
grid->setOuterRadius(outer_r);
} else {
grid->setInnerAxes(inner_axis_major, inner_axis_minor);
grid->setOuterAxes(outer_axis_major, outer_axis_minor);
}
grid->setDebug(debug);
grid->setMaxStencilSize(stencil_size);
grid->setNSHashDims(ns_nx, ns_ny, ns_nz);
int writeIntermediate = 2;
Grid::GridLoadErrType err = grid->loadFromFile();
if (err == Grid::NO_GRID_FILES)
{
printf("************** Generating new Grid **************\n");
grid->setSortBoundaryNodes(true);
grid->generate();
if(writeIntermediate > 0) {
grid->writeToFile();
}
}
if ((err == Grid::NO_GRID_FILES) || (err == Grid::NO_STENCIL_FILES)) {
std::cout << "Generating stencils files\n";
grid->setNSHashDims(ns_nx, ns_ny, ns_nz);
// grid->generateStencils(Grid::ST_BRUTE_FORCE);
// grid->generateStencils(Grid::ST_KDTREE);
grid->generateStencils(Grid::ST_HASH);
if(writeIntermediate > 0) {
grid->writeToFile();
}
}
// 0: 2D problem; 1: 3D problem
ExactSolution* exact_poisson;
if (dim == 3) {
std::cout << "ERROR! 3D not verified yet! exiting..." << std::endl;
exit(EXIT_FAILURE);
// exact_poisson = new ExactNCARPoisson1(); // 3D problem is not verified yet
} else {
exact_poisson = new ExactNCARPoisson2(); // 2D problem works with uniform diffusion
}
RBFFD* der;
#if 0
if (use_gpu) {
der = new RBFFD_CL(RBFFD::X|RBFFD::Y|RBFFD::Z|RBFFD::LAPL,grid, dim);
} else {
der = new RBFFD(RBFFD::X|RBFFD::Y|RBFFD::Z|RBFFD::LAPL,grid, dim);
}
#endif
std::cout << "Computing weights for DIM = " << dim << std::endl;
// No support for ViennaCL generated weights yet.
der = new RBFFD(RBFFD::X|RBFFD::Y|RBFFD::Z|RBFFD::LAPL,grid, dim);
// Enable variable epsilon. Not verified to be perfected in the derivative calculation.
// But it has improved the heat equation already
int use_var_eps = settings->GetSettingAs<int>("USE_VAR_EPSILON", ProjectSettings::optional, "0");
if (use_var_eps) {
double alpha = settings->GetSettingAs<double>("VAR_EPSILON_ALPHA", ProjectSettings::optional, "1.0");
double beta = settings->GetSettingAs<double>("VAR_EPSILON_BETA", ProjectSettings::optional, "1.0");
der->setVariableEpsilon(alpha, beta);
} else {
double epsilon = settings->GetSettingAs<double>("EPSILON", ProjectSettings::required);
der->setEpsilon(epsilon);
}
der->computeAllWeightsForAllStencils();
if (run_derivative_tests) {
std::cout << "Running Derivative Tests\n";
DerivativeTests* der_test = new DerivativeTests(dim, der, grid, true);
if (use_gpu) {
// Applies weights on both GPU and CPU and compares results for the first 10 stencils
der_test->compareGPUandCPUDerivs(10);
}
// Test approximations to derivatives of functions f(x,y,z) = 0, x, y, xy, etc. etc.
der_test->testAllFunctions();
// For now we can only test eigenvalues on an MPI size of 1 (we could distribute with Par-Eiegen solver)
if (settings->GetSettingAs<int>("DERIVATIVE_EIGENVALUE_TEST", ProjectSettings::optional, "0"))
{
// FIXME: why does this happen? Perhaps because X Y and Z are unidirectional?
// Test X and 4 eigenvalues are > 0
// Test Y and 30 are > 0
// Test Z and 36 are > 0
// NOTE: the 0 here implies we compute the eigenvalues but do not run the iterations of the random perturbation test
der_test->testEigen(RBFFD::LAPL, 0);
}
}
NCARPoisson1* poisson;
// if (use_gpu) {
if (true) {
poisson = new NonUniformPoisson1_CL(exact_poisson, grid, der, 0, dim);
} else {
poisson = new NCARPoisson1(exact_poisson, grid, der, 0, dim);
}
poisson->setBoundaryCondition(boundary_condition);
poisson->setUseDiscreteRHS(use_discrete_rhs);
poisson->setUseUniformDiffusivity(use_uniform_diffusion);
poisson->initialConditions();
poisson->solve();
delete(poisson);
// delete(der);
delete(grid);
delete(settings);
#if 0
Grid* grid2 = new Grid();
grid2->loadFromFile("initial_grid.ascii");
grid2->writeToFile("final_grid.ascii");
cout.flush();
#endif
exit(EXIT_SUCCESS);
}
int main(int argc, char** argv) {
TimerList tm;
tm["total"] = new Timer("[Main] Total runtime for this proc");
tm["grid"] = new Timer("[Main] Grid generation");
tm["stencils"] = new Timer("[Main] Stencil generation");
tm["settings"] = new Timer("[Main] Load settings");
tm["decompose"] = new Timer("[Main] Decompose domain");
tm["consolidate"] = new Timer("[Main] Consolidate subdomain solutions");
tm["updates"] = new Timer("[Main] Broadcast solution updates");
tm["send"] = new Timer("[Main] Send subdomains to other processors (master only)");
tm["receive"] = new Timer("[Main] Receive subdomain from master (clients only)");
tm["timestep"] = new Timer("[Main] Advance One Timestep");
tm["tests"] = new Timer("[Main] Test stencil weights");
tm["weights"] = new Timer("[Main] Compute all stencils weights");
tm["oneWeight"] = new Timer("[Main] Compute single stencil weights");
tm["heat_init"] = new Timer("[Main] Initialize heat");
// grid should only be valid instance for MASTER
Grid* grid = NULL;
Domain* subdomain;
tm["total"]->start();
Communicator* comm_unit = new Communicator(argc, argv);
cout << " Got Rank: " << comm_unit->getRank() << endl;
cout << " Got Size: " << comm_unit->getSize() << endl;
tm["settings"]->start();
ProjectSettings* settings = new ProjectSettings(argc, argv, comm_unit->getRank());
int dim = settings->GetSettingAs<int>("DIMENSION", ProjectSettings::required);
//-----------------
fillGlobalProjectSettings(dim, settings);
//-----------------
int max_num_iters = settings->GetSettingAs<int>("MAX_NUM_ITERS", ProjectSettings::required);
double max_global_rel_error = settings->GetSettingAs<double>("MAX_GLOBAL_REL_ERROR", ProjectSettings::optional, "1e-1");
double max_local_rel_error = settings->GetSettingAs<double>("MAX_LOCAL_REL_ERROR", ProjectSettings::optional, "1e-1");
int use_gpu = settings->GetSettingAs<int>("USE_GPU", ProjectSettings::optional, "1");
int local_sol_dump_frequency = settings->GetSettingAs<int>("LOCAL_SOL_DUMP_FREQUENCY", ProjectSettings::optional, "100");
int global_sol_dump_frequency = settings->GetSettingAs<int>("GLOBAL_SOL_DUMP_FREQUENCY", ProjectSettings::optional, "200");
int prompt_to_continue = settings->GetSettingAs<int>("PROMPT_TO_CONTINUE", ProjectSettings::optional, "0");
int debug = settings->GetSettingAs<int>("DEBUG", ProjectSettings::optional, "0");
double start_time = settings->GetSettingAs<double>("START_TIME", ProjectSettings::optional, "0.0");
double end_time = settings->GetSettingAs<double>("END_TIME", ProjectSettings::optional, "1.0");
double dt = settings->GetSettingAs<double>("DT", ProjectSettings::optional, "1e-5");
int timescheme = settings->GetSettingAs<int>("TIME_SCHEME", ProjectSettings::optional, "1");
int weight_method = settings->GetSettingAs<int>("WEIGHT_METHOD", ProjectSettings::optional, "1");
int compute_eigenvalues = settings->GetSettingAs<int>("DERIVATIVE_EIGENVALUE_TEST", ProjectSettings::optional, "0");
int use_eigen_dt = settings->GetSettingAs<int>("USE_EIGEN_DT", ProjectSettings::optional, "1");
if (comm_unit->isMaster()) {
int ns_nx = settings->GetSettingAs<int>("NS_NB_X", ProjectSettings::optional, "10");
int ns_ny = settings->GetSettingAs<int>("NS_NB_Y", ProjectSettings::optional, "10");
int ns_nz = settings->GetSettingAs<int>("NS_NB_Z", ProjectSettings::optional, "10");
int stencil_size = settings->GetSettingAs<int>("STENCIL_SIZE", ProjectSettings::required);
tm["settings"]->stop();
grid = getGrid(dim);
grid->setMaxStencilSize(stencil_size);
Grid::GridLoadErrType err = grid->loadFromFile();
if (err == Grid::NO_GRID_FILES)
{
printf("************** Generating new Grid **************\n");
//grid->setSortBoundaryNodes(true);
// grid->setSortBoundaryNodes(true);
tm["grid"]->start();
grid->generate();
tm["grid"]->stop();
grid->writeToFile();
}
if ((err == Grid::NO_GRID_FILES) || (err == Grid::NO_STENCIL_FILES)) {
std::cout << "Generating stencils files\n";
tm["stencils"]->start();
grid->setNSHashDims(ns_nx, ns_ny, ns_nz);
// grid->generateStencils(Grid::ST_BRUTE_FORCE);
// DEFINTELY: exact
grid->generateStencils(Grid::ST_KDTREE);
// MIGHT BE: approximate
// grid->generateStencils(Grid::ST_HASH);
tm["stencils"]->stop();
grid->writeToFile();
tm.writeToFile("gridgen_timer_log");
}
int x_subdivisions = comm_unit->getSize(); // reduce this to impact y dimension as well
int y_subdivisions = (comm_unit->getSize() - x_subdivisions) + 1;
// TODO: load subdomain from disk
// Construct a new domain given a grid.
// TODO: avoid filling sets Q, B, etc; just think of it as a copy constructor for a grid
Domain* original_domain = new Domain(dim, grid, comm_unit->getSize());
// pre allocate pointers to all of the subdivisions
std::vector<Domain*> subdomain_list(x_subdivisions*y_subdivisions);
// allocate and fill in details on subdivisions
std::cout << "Generating subdomains\n";
tm["decompose"]->start();
//original_domain->printVerboseDependencyGraph();
original_domain->generateDecomposition(subdomain_list, x_subdivisions, y_subdivisions);
tm["decompose"]->stop();
tm["send"]->start();
subdomain = subdomain_list[0];
for (int i = 1; i < comm_unit->getSize(); i++) {
std::cout << "Sending subdomain[" << i << "]\n";
comm_unit->sendObject(subdomain_list[i], i);
}
tm["send"]->stop();
printf("----------------------\nEND MASTER ONLY\n----------------------\n\n\n");
} else {
tm["settings"]->stop();
cout << "MPI RANK " << comm_unit->getRank() << ": waiting to receive subdomain"
<< endl;
tm["receive"]->start();
subdomain = new Domain(); // EMPTY object that will be filled by MPI
comm_unit->receiveObject(subdomain, 0); // Receive from CPU (0)
tm["receive"]->stop();
}
comm_unit->barrier();
if (debug) {
subdomain->printVerboseDependencyGraph();
subdomain->printNodeList("All Centers Needed by This Process");
printf("CHECKING STENCILS: ");
for (int irbf = 0; irbf < (int)subdomain->getStencilsSize(); irbf++) {
// printf("Stencil[%d] = ", irbf);
StencilType& s = subdomain->getStencil(irbf);
if (irbf == s[0]) {
// printf("PASS\n");
// subdomain->printStencil(s, "S");
} else {
printf("FAIL on stencil %d\n", irbf);
exit(EXIT_FAILURE);
}
}
printf("OK\n");
}
RBFFD* der;
if (use_gpu) {
der = new RBFFD_CL(RBFFD::LAPL | RBFFD::X | RBFFD::Y | RBFFD::Z, subdomain, dim, comm_unit->getRank());
} else {
der = new RBFFD(RBFFD::LAPL | RBFFD::X | RBFFD::Y | RBFFD::Z, subdomain, dim, comm_unit->getRank());
}
int use_var_eps = settings->GetSettingAs<int>("USE_VAR_EPSILON", ProjectSettings::optional, "0");
if (use_var_eps) {
double alpha = settings->GetSettingAs<double>("VAR_EPSILON_ALPHA", ProjectSettings::optional, "1.0");
double beta = settings->GetSettingAs<double>("VAR_EPSILON_BETA", ProjectSettings::optional, "1.0");
//der->setVariableEpsilon(subdomain->getStencilRadii(), subdomain->getStencils(), alpha, beta);
der->setVariableEpsilon(alpha, beta);
} else {
double epsilon = settings->GetSettingAs<double>("EPSILON", ProjectSettings::required);
der->setEpsilon(epsilon);
}
#if 0
der->setWeightType(RBFFD::ContourSVD);
der->setWeightType(RBFFD::Direct);
#else
der->setWeightType((RBFFD::WeightType)weight_method);
#endif
// Try loading all the weight files
int err = der->loadFromFile(RBFFD::X);
err += der->loadFromFile(RBFFD::Y);
err += der->loadFromFile(RBFFD::Z);
err += der->loadFromFile(RBFFD::LAPL);
if (err) {
printf("start computing weights\n");
tm["weights"]->start();
// NOTE: good test for Direct vs Contour
// Grid 11x11, vareps=0.05; Look at stencil 12. SHould have -100, 25,
// 25, 25, 25 (i.e., -4,1,1,1,1) not sure why scaling is off.
der->computeAllWeightsForAllStencils();
tm["weights"]->stop();
cout << "end computing weights" << endl;
der->writeToFile(RBFFD::X);
der->writeToFile(RBFFD::Y);
der->writeToFile(RBFFD::Z);
der->writeToFile(RBFFD::LAPL);
cout << "end write weights to file" << endl;
}
if (settings->GetSettingAs<int>("RUN_DERIVATIVE_TESTS", ProjectSettings::optional, "1")) {
bool weightsPreComputed = true;
bool exitIfTestFailed = settings->GetSettingAs<int>("BREAK_ON_DERIVATIVE_TESTS", ProjectSettings::optional, "1");
tm["tests"]->start();
// The test class only computes weights if they havent been done already
DerivativeTests* der_test = new DerivativeTests(dim, der, subdomain, weightsPreComputed);
if (use_gpu) {
// Applies weights on both GPU and CPU and compares results for the first 10 stencils
der_test->compareGPUandCPUDerivs(10);
}
// Test approximations to derivatives of functions f(x,y,z) = 0, x, y, xy, etc. etc.
der_test->testAllFunctions(exitIfTestFailed);
// For now we can only test eigenvalues on an MPI size of 1 (we could distribute with Par-Eiegen solver)
if (comm_unit->getSize() == 1) {
if (compute_eigenvalues)
{
// FIXME: why does this happen? Perhaps because X Y and Z are unidirectional?
// Test X and 4 eigenvalues are > 0
// Test Y and 30 are > 0
// Test Z and 36 are > 0
// NOTE: the 0 here implies we compute the eigenvalues but do not run the iterations of the random perturbation test
der_test->testEigen(RBFFD::LAPL, 0);
}
}
tm["tests"]->stop();
}
// SOLVE HEAT EQUATION
ExactSolution* exact = getExactSolution(dim);
TimeDependentPDE* pde;
tm["heat_init"]->start();
// We need to provide comm_unit to pass ghost node info
#if 0
if (use_gpu) {
pde = new HeatPDE(subdomain, der, comm_unit, true);
} else
#endif
{
// Implies initial conditions are generated
// true here indicates the weights are computed.
pde = new HeatPDE(subdomain, der, comm_unit, uniformDiffusion, true);
}
pde->setStartEndTime(start_time, end_time);
pde->fillInitialConditions(exact);
// Broadcast updates for timestep, initial conditions for ghost nodes, etc.
tm["updates"]->start();
comm_unit->broadcastObjectUpdates(pde);
comm_unit->barrier();
tm["updates"]->stop();
tm["heat_init"]->stop();
//TODO: pde->setRelErrTol(max_global_rel_error);
// Setup a logging class that will monitor our iteration and dump intermediate files
#if USE_VTK
// TODO: update VtuPDEWriter for the new PDE classes
PDEWriter* writer = new VtuPDEWriter(subdomain, pde, comm_unit, local_sol_dump_frequency, global_sol_dump_frequency);
#else
PDEWriter* writer = new PDEWriter(subdomain, pde, comm_unit, local_sol_dump_frequency, global_sol_dump_frequency);
#endif
// Test DT:
// 1) get the minimum avg stencil radius (for stencil area--i.e., dx^2)
double avgdx = 1000.;
std::vector<StencilType>& sten = subdomain->getStencils();
for (size_t i=0; i < sten.size(); i++) {
double dx = subdomain->getStencilRadius(i);
if (dx < avgdx) {
avgdx = dx;
}
}
// Laplacian = d^2/dx^2
double sten_area = avgdx*avgdx;
// Not sure where Gordon came up with this parameter.
// for second centered difference and euler time we have nu = 0.5
double nu = 0.1;
// dt <= nu/dx^2
// is valid for stability in some FD schemes.
double max_dt = nu*(sten_area);
printf("dt = %f (max_dt = %f; 0.5dx^2 = %f)\n", dt, max_dt, 0.5*sten_area);
// This appears to be consistent with Chinchipatnam2006 (Thesis)
// TODO: get more details on CFL for RBFFD
// note: checking stability only works if we have all weights for all
// nodes, so we dont do it in parallel
if (compute_eigenvalues && (comm_unit->getSize() == 1)) {
RBFFD::EigenvalueOutput eigs = der->getEigenvalues();
max_dt = 2. / eigs.max_neg_eig;
printf("Suggested max_dt based on eigenvalues (2/lambda_max)= %f\n", max_dt);
// CFL condition:
if (dt > max_dt) {
std::cout << "WARNING! your choice of timestep (" << dt << ") is TOO LARGE for to maintain stability of system. According to eigenvalues, it must be less than " << max_dt << std::endl;
if (use_eigen_dt) {
dt = max_dt;
} else {
//exit(EXIT_FAILURE);
}
}
}
std::cout << "[MAIN] ********* USING TIMESTEP dt=" << dt << " ********** " << std::endl;
// subdomain->printCenterMemberships(subdomain->G, "G = " );
//subdomain->printBoundaryIndices("INDICES OF GLOBAL BOUNDARY NODES: ");
int iter;
int num_iters = (int) ((end_time - start_time) / dt);
std::cout << "NUM_ITERS = " << num_iters << std::endl;
for (iter = 0; iter < num_iters && iter < max_num_iters; iter++) {
writer->update(iter);
#if 0
char label[256];
sprintf(label, "LOCAL INPUT SOLUTION [local_indx (global_indx)] FOR ITERATION %d", iter);
pde->printSolution(label);
#endif
tm["timestep"]->start();
pde->advance((TimeDependentPDE::TimeScheme)timescheme, dt);
tm["timestep"]->stop();
// This just double checks that all procs have ghost node info.
// pde->advance(..) should broadcast intermediate updates as needed,
// but updated solution.
tm["updates"]->start();
comm_unit->broadcastObjectUpdates(pde);
comm_unit->barrier();
tm["updates"]->stop();
if (!(iter % local_sol_dump_frequency)) {
std::cout << "\n*********** Rank " << comm_unit->getRank() << " Local Solution [ Iteration: " << iter << " (t = " << pde->getTime() << ") ] *************" << endl;
pde->checkLocalError(exact, max_local_rel_error);
}
if (!(iter % global_sol_dump_frequency)) {
tm["consolidate"]->start();
comm_unit->consolidateObjects(pde);
comm_unit->barrier();
tm["consolidate"]->stop();
if (comm_unit->isMaster()) {
std::cout << "\n*********** Global Solution [ Iteration: " << iter << " (t = " << pde->getTime() << ") ] *************" << endl;
pde->checkGlobalError(exact, grid, max_global_rel_error);
}
}
#if 0
sprintf(label, "LOCAL UPDATED SOLUTION [local_indx (global_indx)] AFTER %d ITERATIONS", iter+1);
pde->printSolution(label);
#endif
// double nrm = pde->maxNorm();
if (prompt_to_continue && comm_unit->isMaster()) {
std::string buf;
cout << "Press [Enter] to continue" << std::endl;
cin.get();
}
}
#if 1
printf("after heat\n");
// NOTE: all local subdomains have a U_G solution which is consolidated
// into the MASTER process "global_U_G" solution.
tm["consolidate"]->start();
comm_unit->consolidateObjects(pde);
comm_unit->barrier();
tm["consolidate"]->stop();
// subdomain->writeGlobalSolutionToFile(-1);
std::cout << "Checking Solution on Master\n";
if (comm_unit->getRank() == 0) {
pde->writeGlobalGridAndSolutionToFile(grid->getNodeList(), (char*) "FINAL_SOLUTION.txt");
#if 0
// NOTE: the final solution is assembled, but we have to use the
// GLOBAL node list instead of a local subdomain node list
cout << "FINAL ITER: " << iter << endl;
std::vector<double> final_sol(grid->getNodeListSize());
ifstream fin;
fin.open("FINAL_SOLUTION.txt");
int count = 0;
for (int count = 0; count < final_sol.size(); count++) {
Vec3 node;
double val;
fin >> node[0] >> node[1] >> node[2] >> val;
if (fin.good()) {
final_sol[count] = val;
// std::cout << "Read: " << node << ", " << final_sol[count] << std::endl;
}
}
fin.close();
#endif
std::cout << "============== Verifying Accuracy of Final Solution =============\n";
pde->checkGlobalError(exact, grid, max_global_rel_error);
std::cout << "============== Solution Valid =============\n";
delete(grid);
}