/[escript]/trunk/dudley/src/CPPAdapter/SystemMatrixAdapter.cpp
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Contents of /trunk/dudley/src/CPPAdapter/SystemMatrixAdapter.cpp

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Revision 3352 - (show annotations)
Tue Nov 16 03:58:09 2010 UTC (8 years, 9 months ago) by gross
File size: 14243 byte(s)
exposure of AMG options
1
2 /*******************************************************
3 *
4 * Copyright (c) 2003-2010 by University of Queensland
5 * Earth Systems Science Computational Center (ESSCC)
6 * http://www.uq.edu.au/esscc
7 *
8 * Primary Business: Queensland, Australia
9 * Licensed under the Open Software License version 3.0
10 * http://www.opensource.org/licenses/osl-3.0.php
11 *
12 *******************************************************/
13
14 #include "SystemMatrixAdapter.h"
15
16 using namespace std;
17
18 namespace dudley {
19
20 struct null_deleter
21 {
22 void operator()(void const *ptr) const
23 {
24 }
25 };
26
27
28 SystemMatrixAdapter::SystemMatrixAdapter()
29 {
30 throw DudleyAdapterException("Error - Illegal to generate default SystemMatrixAdapter.");
31 }
32
33 SystemMatrixAdapter::SystemMatrixAdapter(Paso_SystemMatrix* system_matrix,
34 const int row_blocksize,
35 const escript::FunctionSpace& row_functionspace,
36 const int column_blocksize,
37 const escript::FunctionSpace& column_functionspace):
38 AbstractSystemMatrix(row_blocksize,row_functionspace,column_blocksize,column_functionspace)
39 {
40 m_system_matrix.reset(system_matrix,null_deleter());
41 }
42
43 SystemMatrixAdapter::~SystemMatrixAdapter()
44 {
45 if (m_system_matrix.unique()) {
46 Paso_SystemMatrix* mat=m_system_matrix.get();
47 Paso_SystemMatrix_free(mat);
48 }
49 }
50
51 Paso_SystemMatrix* SystemMatrixAdapter::getPaso_SystemMatrix() const
52 {
53 return m_system_matrix.get();
54 }
55
56 void SystemMatrixAdapter::ypAx(escript::Data& y,escript::Data& x) const
57 {
58 Paso_SystemMatrix* mat=getPaso_SystemMatrix();
59
60 if ( x.getDataPointSize() != getColumnBlockSize()) {
61 throw DudleyAdapterException("matrix vector product : column block size does not match the number of components in input.");
62 } else if (y.getDataPointSize() != getRowBlockSize()) {
63 throw DudleyAdapterException("matrix vector product : row block size does not match the number of components in output.");
64 } else if ( x.getFunctionSpace() != getColumnFunctionSpace()) {
65 throw DudleyAdapterException("matrix vector product : column function space and function space of input don't match.");
66 } else if (y.getFunctionSpace() != getRowFunctionSpace()) {
67 throw DudleyAdapterException("matrix vector product : row function space and function space of output don't match.");
68 }
69 x.expand();
70 y.expand();
71 x.requireWrite();
72 y.requireWrite();
73 double* x_dp=x.getSampleDataRW(0);
74 double* y_dp=y.getSampleDataRW(0);
75 Paso_SystemMatrix_MatrixVector(1., mat,x_dp, 1.,y_dp);
76 checkPasoError();
77 }
78
79 int SystemMatrixAdapter::mapOptionToPaso(const int option) {
80
81 switch (option) {
82 case ESCRIPT_DEFAULT:
83 return PASO_DEFAULT;
84 case ESCRIPT_DIRECT:
85 return PASO_DIRECT;
86 case ESCRIPT_CHOLEVSKY:
87 return PASO_CHOLEVSKY;
88 case ESCRIPT_PCG:
89 return PASO_PCG;
90 case ESCRIPT_CR:
91 return PASO_CR;
92 case ESCRIPT_CGS:
93 return PASO_CGS;
94 case ESCRIPT_BICGSTAB:
95 return PASO_BICGSTAB;
96 case ESCRIPT_ILU0:
97 return PASO_ILU0;
98 case ESCRIPT_ILUT:
99 return PASO_ILUT;
100 case ESCRIPT_JACOBI:
101 return PASO_JACOBI;
102 case ESCRIPT_GMRES:
103 return PASO_GMRES;
104 case ESCRIPT_PRES20:
105 return PASO_PRES20;
106 case ESCRIPT_LUMPING:
107 return PASO_LUMPING;
108 case ESCRIPT_NO_REORDERING:
109 return PASO_NO_REORDERING;
110 case ESCRIPT_MINIMUM_FILL_IN:
111 return PASO_MINIMUM_FILL_IN;
112 case ESCRIPT_NESTED_DISSECTION:
113 return PASO_NESTED_DISSECTION;
114 case ESCRIPT_MKL:
115 return PASO_MKL;
116 case ESCRIPT_UMFPACK:
117 return PASO_UMFPACK;
118 case ESCRIPT_ITERATIVE:
119 return PASO_ITERATIVE;
120 case ESCRIPT_PASO:
121 return PASO_PASO;
122 case ESCRIPT_AMG:
123 return PASO_AMG;
124 case ESCRIPT_AMLI:
125 return PASO_AMLI;
126 case ESCRIPT_REC_ILU:
127 return PASO_REC_ILU;
128 case ESCRIPT_TRILINOS:
129 return PASO_TRILINOS;
130 case ESCRIPT_NONLINEAR_GMRES:
131 return PASO_NONLINEAR_GMRES;
132 case ESCRIPT_TFQMR :
133 return PASO_TFQMR;
134 case ESCRIPT_MINRES:
135 return PASO_MINRES;
136 case ESCRIPT_GAUSS_SEIDEL:
137 return PASO_GAUSS_SEIDEL;
138 case ESCRIPT_RILU:
139 return PASO_RILU;
140 case ESCRIPT_DEFAULT_REORDERING:
141 return PASO_DEFAULT_REORDERING;
142 case ESCRIPT_SUPER_LU:
143 return PASO_SUPER_LU;
144 case ESCRIPT_PASTIX:
145 return PASO_PASTIX;
146 case ESCRIPT_YAIR_SHAPIRA_COARSENING:
147 return PASO_YAIR_SHAPIRA_COARSENING;
148 case ESCRIPT_RUGE_STUEBEN_COARSENING:
149 return PASO_RUGE_STUEBEN_COARSENING;
150 case ESCRIPT_STANDARD_COARSENING:
151 return PASO_STANDARD_COARSENING;
152 case ESCRIPT_AGGREGATION_COARSENING:
153 return PASO_AGGREGATION_COARSENING;
154 case ESCRIPT_NO_PRECONDITIONER:
155 return PASO_NO_PRECONDITIONER;
156 default:
157 stringstream temp;
158 temp << "Error - Cannot map option value "<< option << " onto Paso";
159 throw DudleyAdapterException(temp.str());
160 }
161 }
162
163 void dudley::SystemMatrixAdapter::Print_Matrix_Info(const bool full=false) const
164 {
165 Paso_SystemMatrix* mat=m_system_matrix.get();
166 int first_row_index = mat->row_distribution->first_component[mat->mpi_info->rank];
167 int last_row_index = mat->row_distribution->first_component[mat->mpi_info->rank+1]-1;
168 int first_col_index = mat->col_distribution->first_component[mat->mpi_info->rank];
169 int last_col_index = mat->col_distribution->first_component[mat->mpi_info->rank+1]-1;
170
171 fprintf(stdout, "Print_Matrix_Info running on CPU %d of %d\n", mat->mpi_info->rank, mat->mpi_info->size);
172
173 switch (mat->type) {
174 case MATRIX_FORMAT_DEFAULT: fprintf(stdout, "\tMatrix type MATRIX_FORMAT_DEFAULT\n"); break;
175 case MATRIX_FORMAT_CSC: fprintf(stdout, "\tMatrix type MATRIX_FORMAT_CSC\n"); break;
176 case MATRIX_FORMAT_BLK1: fprintf(stdout, "\tMatrix type MATRIX_FORMAT_BLK1\n"); break;
177 case MATRIX_FORMAT_OFFSET1: fprintf(stdout, "\tMatrix type MATRIX_FORMAT_OFFSET1\n"); break;
178 case MATRIX_FORMAT_TRILINOS_CRS: fprintf(stdout, "\tMatrix type MATRIX_FORMAT_TRILINOS_CRS\n"); break;
179 default: fprintf(stdout, "\tMatrix type unknown\n"); break;
180 }
181
182 fprintf(stdout, "\trow indices run from %d to %d\n", first_row_index, last_row_index);
183 fprintf(stdout, "\tcol indices run from %d to %d\n", first_col_index, last_col_index);
184 fprintf(stdout, "\tmainBlock numRows %d\n", mat->mainBlock->numRows);
185 fprintf(stdout, "\tmainBlock numCols %d\n", mat->mainBlock->numCols);
186 fprintf(stdout, "\tmainBlock pattern numOutput %d\n", mat->mainBlock->pattern->numOutput);
187 fprintf(stdout, "\tcol_coupleBlock numRows %d\n", mat->col_coupleBlock->numRows);
188 fprintf(stdout, "\tcol_coupleBlock numCols %d\n", mat->col_coupleBlock->numCols);
189 fprintf(stdout, "\tcol_coupleBlock pattern numOutput %d\n", mat->col_coupleBlock->pattern->numOutput);
190 fprintf(stdout, "\trow_coupleBlock numRows %d\n", mat->row_coupleBlock->numRows);
191 fprintf(stdout, "\trow_coupleBlock numCols %d\n", mat->row_coupleBlock->numCols);
192 fprintf(stdout, "\trow_coupleBlock pattern numOutput %d\n", mat->row_coupleBlock->pattern->numOutput);
193 fprintf(stdout, "\trow_block_size %d\n", mat->row_block_size);
194 fprintf(stdout, "\tcol_block_size %d\n", mat->col_block_size);
195 fprintf(stdout, "\tblock_size %d\n", mat->block_size);
196 fprintf(stdout, "\tlogical_row_block_size %d\n", mat->logical_row_block_size);
197 fprintf(stdout, "\tlogical_col_block_size %d\n", mat->logical_col_block_size);
198
199 }
200
201 void SystemMatrixAdapter::setToSolution(escript::Data& out,escript::Data& in, boost::python::object& options) const
202 {
203 Paso_SystemMatrix* mat=getPaso_SystemMatrix();
204 Paso_Options paso_options;
205 options.attr("resetDiagnostics")();
206 escriptToPasoOptions(&paso_options,options);
207 if ( out.getDataPointSize() != getColumnBlockSize()) {
208 throw DudleyAdapterException("solve : column block size does not match the number of components of solution.");
209 } else if ( in.getDataPointSize() != getRowBlockSize()) {
210 throw DudleyAdapterException("solve : row block size does not match the number of components of right hand side.");
211 } else if ( out.getFunctionSpace() != getColumnFunctionSpace()) {
212 throw DudleyAdapterException("solve : column function space and function space of solution don't match.");
213 } else if (in.getFunctionSpace() != getRowFunctionSpace()) {
214 throw DudleyAdapterException("solve : row function space and function space of right hand side don't match.");
215 }
216 out.expand();
217 in.expand();
218 double* out_dp=out.getSampleDataRW(0);
219 double* in_dp=in.getSampleDataRW(0);
220 Paso_solve(mat,out_dp,in_dp,&paso_options);
221 pasoToEscriptOptions(&paso_options,options);
222 checkPasoError();
223 }
224
225 void SystemMatrixAdapter::nullifyRowsAndCols(escript::Data& row_q,escript::Data& col_q, const double mdv) const
226 {
227 Paso_SystemMatrix* mat = getPaso_SystemMatrix();
228 if ( col_q.getDataPointSize() != getColumnBlockSize()) {
229 throw DudleyAdapterException("nullifyRowsAndCols : column block size does not match the number of components of column mask.");
230 } else if ( row_q.getDataPointSize() != getRowBlockSize()) {
231 throw DudleyAdapterException("nullifyRowsAndCols : row block size does not match the number of components of row mask.");
232 } else if ( col_q.getFunctionSpace() != getColumnFunctionSpace()) {
233 throw DudleyAdapterException("nullifyRowsAndCols : column function space and function space of column mask don't match.");
234 } else if (row_q.getFunctionSpace() != getRowFunctionSpace()) {
235 throw DudleyAdapterException("nullifyRowsAndCols : row function space and function space of row mask don't match.");
236 }
237 row_q.expand();
238 col_q.expand();
239 row_q.requireWrite();
240 col_q.requireWrite();
241 double* row_q_dp=row_q.getSampleDataRW(0);
242 double* col_q_dp=col_q.getSampleDataRW(0);
243 Paso_SystemMatrix_nullifyRowsAndCols(mat,row_q_dp,col_q_dp, mdv);
244 checkPasoError();
245 }
246
247 void SystemMatrixAdapter::saveMM(const std::string& fileName) const
248 {
249 if( fileName.size() == 0 )
250 {
251 throw DudleyAdapterException("Null file name!");
252 }
253
254 char *fName = TMPMEMALLOC(fileName.size()+1,char);
255
256 strcpy(fName,fileName.c_str());
257 Paso_SystemMatrix* mat = getPaso_SystemMatrix();
258 Paso_SystemMatrix_saveMM(mat,fName);
259 checkPasoError();
260 TMPMEMFREE(fName);
261
262 }
263
264 void SystemMatrixAdapter::saveHB(const std::string& fileName) const
265 {
266 if( fileName.size() == 0 )
267 {
268 throw DudleyAdapterException("Null file name!");
269 }
270
271 char *fName = TMPMEMALLOC(fileName.size()+1,char);
272
273 strcpy(fName,fileName.c_str());
274 Paso_SystemMatrix* mat = getPaso_SystemMatrix();
275 Paso_SystemMatrix_saveHB(mat,fName);
276 checkPasoError();
277 TMPMEMFREE(fName);
278
279 }
280
281 void SystemMatrixAdapter::resetValues() const
282 {
283 Paso_SystemMatrix* mat = getPaso_SystemMatrix();
284 Paso_SystemMatrix_setValues(mat,0.);
285 Paso_solve_free(mat);
286 checkPasoError();
287 }
288
289 void SystemMatrixAdapter::pasoToEscriptOptions(const Paso_Options* paso_options,boost::python::object& options)
290 {
291 #define SET(__key__,__val__,__type__) options.attr("_updateDiagnostics")(__key__,(__type__)paso_options->__val__)
292 SET("num_iter", num_iter, int);
293 SET("num_level", num_level, int);
294 SET("num_inner_iter", num_inner_iter, int);
295 SET("time", time, double);
296 SET("set_up_time", set_up_time, double);
297 SET("net_time", net_time, double);
298 SET("residual_norm", residual_norm, double);
299 SET("converged",converged, bool);
300 SET("time_step_backtracking_used", time_step_backtracking_used,bool);
301 #undef SET
302 }
303 void SystemMatrixAdapter::escriptToPasoOptions(Paso_Options* paso_options, const boost::python::object& options)
304 {
305 #define EXTRACT(__key__,__val__,__type__) paso_options->__val__=boost::python::extract<__type__>(options.attr(__key__)())
306 #define EXTRACT_OPTION(__key__,__val__,__type__) paso_options->__val__=mapOptionToPaso(boost::python::extract<__type__>(options.attr(__key__)()))
307
308 Paso_Options_setDefaults(paso_options);
309 EXTRACT_OPTION("getSolverMethod",method,index_t);
310 EXTRACT_OPTION("getPackage",package,index_t);
311 EXTRACT("isVerbose",verbose,bool_t);
312 EXTRACT("isSymmetric",symmetric,bool_t);
313 EXTRACT("getTolerance",tolerance, double);
314 EXTRACT("getAbsoluteTolerance",absolute_tolerance, double);
315 EXTRACT("getInnerTolerance",inner_tolerance, double);
316 EXTRACT("adaptInnerTolerance",adapt_inner_tolerance, bool_t);
317 EXTRACT_OPTION("getReordering", reordering, index_t);
318 EXTRACT_OPTION("getPreconditioner", preconditioner, index_t);
319 EXTRACT("getIterMax", iter_max, dim_t);
320 EXTRACT("getInnerIterMax", inner_iter_max, dim_t);
321 EXTRACT("getDropTolerance", drop_tolerance, double);
322 EXTRACT("getDropStorage", drop_storage, double);
323 EXTRACT("getTruncation", truncation, dim_t);
324 EXTRACT("_getRestartForC", restart, index_t);
325 EXTRACT("getNumSweeps", sweeps, index_t);
326 EXTRACT("getNumPreSweeps", pre_sweeps, dim_t);
327 EXTRACT("getNumPostSweeps", post_sweeps, dim_t);
328 EXTRACT("getLevelMax", level_max, dim_t);
329 EXTRACT("getMinCoarseMatrixSize", min_coarse_matrix_size, dim_t);
330 EXTRACT("getCoarseningThreshold", coarsening_threshold, double);
331 EXTRACT("acceptConvergenceFailure", accept_failed_convergence, bool_t);
332 EXTRACT_OPTION("getCoarsening", coarsening_method, index_t);
333 EXTRACT_OPTION("getSmoother", smoother, index_t);
334 EXTRACT("getRelaxationFactor", relaxation_factor, double);
335 EXTRACT("useLocalPreconditioner", use_local_preconditioner, bool_t);
336 EXTRACT("getMinCoarseMatrixSparsity",min_coarse_sparsity, double);
337 EXTRACT("getNumRefinements",refinements, dim_t);
338 EXTRACT("getNumCoarseMatrixRefinements",coarse_matrix_refinements, dim_t);
339 EXTRACT("usePanel",usePanel, bool_t);
340 EXTRACT("useDirectInterpolation", useDirectInterpolation, bool_t);
341 #undef EXTRACT
342 #undef EXTRACT_OPTION
343 }
344
345
346 } // end of namespace

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