This file is indexed.

/usr/include/trilinos/Stokhos_Tpetra_Utilities_UQ_PCE.hpp is in libtrilinos-stokhos-dev 12.10.1-3.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
// @HEADER
// ***********************************************************************
//
//                           Stokhos Package
//                 Copyright (2009) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Eric T. Phipps (etphipp@sandia.gov).
//
// ***********************************************************************
// @HEADER

#ifndef STOKHOS_TPETRA_UTILITIES_UQ_PCE_HPP
#define STOKHOS_TPETRA_UTILITIES_UQ_PCE_HPP

#include "Stokhos_Sacado_Kokkos_UQ_PCE.hpp"
#include "Stokhos_Tpetra_Utilities_MP_Vector.hpp"
#include "Tpetra_Map.hpp"
#include "Tpetra_MultiVector.hpp"
#include "Tpetra_CrsGraph.hpp"
#include "Tpetra_CrsMatrix.hpp"

namespace Stokhos {

#if defined(TPETRA_HAVE_KOKKOS_REFACTOR)

  // Build a CRS graph from a sparse Cijk tensor
  template <typename LocalOrdinal, typename GlobalOrdinal, typename Device,
            typename CijkType>
  Teuchos::RCP< Tpetra::CrsGraph<LocalOrdinal,GlobalOrdinal,
                                 Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_cijk_crs_graph(const CijkType& cijk,
                        const Teuchos::RCP<const Teuchos::Comm<int> >& comm,
                        const Teuchos::RCP<Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& node,
                        const size_t matrix_pce_size) {
    using Teuchos::RCP;
    using Teuchos::arrayView;

    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    typedef Tpetra::Map<LocalOrdinal,GlobalOrdinal,Node> Map;
    typedef Tpetra::CrsGraph<LocalOrdinal,GlobalOrdinal,Node> Graph;

    const size_t pce_sz = cijk.dimension();
    RCP<const Map> map =
      Tpetra::createLocalMapWithNode<LocalOrdinal,GlobalOrdinal>(pce_sz, comm, node);
    RCP<Graph> graph = Tpetra::createCrsGraph(map);
    if (matrix_pce_size == 1) {
      // Mean-based case -- graph is diagonal
      for (size_t i=0; i<pce_sz; ++i) {
        const GlobalOrdinal row = i;
        graph->insertGlobalIndices(row, arrayView(&row, 1));
      }
    }
    else {
      // General case
      for (size_t i=0; i<pce_sz; ++i) {
        const GlobalOrdinal row = i;
        const size_t num_entry = cijk.num_entry(i);
        const size_t entry_beg = cijk.entry_begin(i);
        const size_t entry_end = entry_beg + num_entry;
        for (size_t entry = entry_beg; entry < entry_end; ++entry) {
          const GlobalOrdinal j = cijk.coord(entry,0);
          const GlobalOrdinal k = cijk.coord(entry,1);
          graph->insertGlobalIndices(row, arrayView(&j, 1));
          graph->insertGlobalIndices(row, arrayView(&k, 1));
        }
      }
    }
    graph->fillComplete();
    return graph;
  }

  // Create a flattened graph for a graph from a matrix with the
  // UQ::PCE scalar type
  // If flat_domain_map and/or flat_range_map are null, they will be computed,
  // otherwise they will be used as-is.
  template <typename LocalOrdinal, typename GlobalOrdinal, typename Device,
            typename CijkType>
  Teuchos::RCP< Tpetra::CrsGraph<LocalOrdinal,GlobalOrdinal,
                                 Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_pce_graph(
    const Tpetra::CrsGraph<LocalOrdinal,GlobalOrdinal,Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& graph,
    const CijkType& cijk,
    Teuchos::RCP<const Tpetra::Map<LocalOrdinal,GlobalOrdinal,Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_domain_map,
    Teuchos::RCP<const Tpetra::Map<LocalOrdinal,GlobalOrdinal,Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_range_map,
    Teuchos::RCP<const Tpetra::CrsGraph<LocalOrdinal,GlobalOrdinal,Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& cijk_graph,
    const size_t matrix_pce_size) {
    using Teuchos::ArrayView;
    using Teuchos::ArrayRCP;
    using Teuchos::Array;
    using Teuchos::RCP;
    using Teuchos::rcp;

    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    typedef Tpetra::Map<LocalOrdinal,GlobalOrdinal,Node> Map;
    typedef Tpetra::CrsGraph<LocalOrdinal,GlobalOrdinal,Node> Graph;

    const LocalOrdinal block_size = cijk.dimension();

    // Build domain map if necessary
    if (flat_domain_map == Teuchos::null)
      flat_domain_map = create_flat_map(*(graph.getDomainMap()), block_size);

    // Build range map if necessary
    if (flat_range_map == Teuchos::null)
      flat_range_map = create_flat_map(*(graph.getRangeMap()), block_size);

    // Build column map
    RCP<const Map> flat_col_map =
      create_flat_map(*(graph.getColMap()), block_size);

    // Build row map if necessary
    // Check if range_map == row_map, then we can use flat_range_map
    // as the flattened row map
    RCP<const Map> flat_row_map;
    if (graph.getRangeMap() == graph.getRowMap())
      flat_row_map = flat_range_map;
    else
      flat_row_map = create_flat_map(*(graph.getRowMap()), block_size);

    // Build Cijk graph if necessary
    if (cijk_graph == Teuchos::null)
      cijk_graph = create_cijk_crs_graph<LocalOrdinal,GlobalOrdinal>(
        cijk,
        flat_domain_map->getComm(),
        flat_domain_map->getNode(),
        matrix_pce_size);

    // Build flattened graph that is the Kronecker product of the given
    // graph and cijk_graph
    RCP<Graph> flat_graph = rcp(new Graph(flat_row_map, flat_col_map, 0));

    // Loop over outer rows
    ArrayView<const LocalOrdinal> outer_cols;
    ArrayView<const LocalOrdinal> inner_cols;
    Array<LocalOrdinal> flat_col_indices;
    flat_col_indices.reserve(graph.getNodeMaxNumRowEntries()*block_size);
    const LocalOrdinal num_outer_rows = graph.getNodeNumRows();
    for (LocalOrdinal outer_row=0; outer_row < num_outer_rows; outer_row++) {

      // Get outer columns for this outer row
      graph.getLocalRowView(outer_row, outer_cols);
      const LocalOrdinal num_outer_cols = outer_cols.size();

      // Loop over inner rows
      for (LocalOrdinal inner_row=0; inner_row < block_size; inner_row++) {

        // Compute flat row index
        const LocalOrdinal flat_row = outer_row*block_size + inner_row;

        // Get inner columns for this inner row
        cijk_graph->getLocalRowView(inner_row, inner_cols);
        const LocalOrdinal num_inner_cols = inner_cols.size();

        // Create space to store all column indices for this flat row
        flat_col_indices.resize(0);

        // Loop over outer cols
        for (LocalOrdinal outer_entry=0; outer_entry<num_outer_cols;
             ++outer_entry) {
          const LocalOrdinal outer_col = outer_cols[outer_entry];

          // Loop over inner cols
          for (LocalOrdinal inner_entry=0; inner_entry<num_inner_cols;
             ++inner_entry) {
            const LocalOrdinal inner_col = inner_cols[inner_entry];

            // Compute and store flat column index
            const LocalOrdinal flat_col = outer_col*block_size + inner_col;
            flat_col_indices.push_back(flat_col);
          }

        }

        // Insert all indices for this flat row
        flat_graph->insertLocalIndices(flat_row, flat_col_indices());

      }

    }
    flat_graph->fillComplete(flat_domain_map, flat_range_map);

    return flat_graph;
  }

  // Create a flattened vector by unrolling the UQ::PCE scalar type.  The
  // returned vector is a view of the original
  template <typename Storage, typename LocalOrdinal, typename GlobalOrdinal,
            typename Device>
  Teuchos::RCP< const Tpetra::MultiVector<typename Storage::value_type,
                                          LocalOrdinal,GlobalOrdinal,
                                          Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_vector_view(
    const Tpetra::MultiVector<Sacado::UQ::PCE<Storage>,
                              LocalOrdinal,GlobalOrdinal,
                              Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& vec,
    const Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,
                                          Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_map) {
    using Teuchos::RCP;
    using Teuchos::rcp;

    typedef typename Storage::value_type BaseScalar;
    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    typedef Tpetra::MultiVector<BaseScalar,LocalOrdinal,GlobalOrdinal,Node> FlatVector;
    typedef typename FlatVector::dual_view_type flat_view_type;

    // Create flattenend view using special reshaping view assignment operator
    flat_view_type flat_vals = vec.getDualView();

    // Create flat vector
    RCP<FlatVector> flat_vec = rcp(new FlatVector(flat_map, flat_vals));

    return flat_vec;
  }

  // Create a flattened vector by unrolling the UQ::PCE scalar type.  The
  // returned vector is a view of the original
  template <typename Storage, typename LocalOrdinal, typename GlobalOrdinal,
            typename Device>
  Teuchos::RCP< Tpetra::MultiVector<typename Storage::value_type,
                                    LocalOrdinal,GlobalOrdinal,
                                    Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_vector_view(
    Tpetra::MultiVector<Sacado::UQ::PCE<Storage>,
                        LocalOrdinal,GlobalOrdinal,
                        Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& vec,
    const Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,
                                          Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_map) {
    using Teuchos::RCP;
    using Teuchos::rcp;

    typedef typename Storage::value_type BaseScalar;
    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    typedef Tpetra::MultiVector<BaseScalar,LocalOrdinal,GlobalOrdinal,Node> FlatVector;
    typedef typename FlatVector::dual_view_type flat_view_type;

    // Create flattenend view using special reshaping view assignment operator
    flat_view_type flat_vals = vec.getDualView();

    // Create flat vector
    RCP<FlatVector> flat_vec = rcp(new FlatVector(flat_map, flat_vals));

    return flat_vec;
  }

  // Create a flattened vector by unrolling the UQ::PCE scalar type.  The
  // returned vector is a view of the original.  This version creates the
  // map if necessary
  template <typename Storage, typename LocalOrdinal, typename GlobalOrdinal,
            typename Device>
  Teuchos::RCP< const Tpetra::MultiVector<typename Storage::value_type,
                                          LocalOrdinal,GlobalOrdinal,
                                          Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_vector_view(
    const Tpetra::MultiVector<Sacado::UQ::PCE<Storage>,
                              LocalOrdinal,GlobalOrdinal,
                              Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& vec,
    Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,
                                    Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_map) {
    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    if (flat_map == Teuchos::null) {
      const LocalOrdinal pce_size =
        Kokkos::dimension_scalar(vec.template getLocalView<Device>());
      flat_map = create_flat_map(*(vec.getMap()), pce_size);
    }
    const Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,Node> > const_flat_map = flat_map;
    return create_flat_vector_view(vec, const_flat_map);
  }

  // Create a flattened vector by unrolling the UQ::PCE scalar type.  The
  // returned vector is a view of the original.  This version creates the
  // map if necessary
  template <typename Storage, typename LocalOrdinal, typename GlobalOrdinal,
            typename Device>
  Teuchos::RCP< Tpetra::MultiVector<typename Storage::value_type,
                                    LocalOrdinal,GlobalOrdinal,
                                    Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_vector_view(
    Tpetra::MultiVector<Sacado::UQ::PCE<Storage>,
                        LocalOrdinal,GlobalOrdinal,
                        Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& vec,
    Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,
                                    Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_map) {
    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    if (flat_map == Teuchos::null) {
      const LocalOrdinal pce_size =
        Kokkos::dimension_scalar(vec.template getLocalView<Device>());
      flat_map = create_flat_map(*(vec.getMap()), pce_size);
    }
    const Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,Node> > const_flat_map = flat_map;
    return create_flat_vector_view(vec, const_flat_map);
  }

  // Create a flattened vector by unrolling the UQ::PCE scalar type.  The
  // returned vector is a view of the original
  template <typename Storage, typename LocalOrdinal, typename GlobalOrdinal,
            typename Device>
  Teuchos::RCP< const Tpetra::Vector<typename Storage::value_type,
                                     LocalOrdinal,GlobalOrdinal,
                                     Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_vector_view(
    const Tpetra::Vector<Sacado::UQ::PCE<Storage>,
                         LocalOrdinal,GlobalOrdinal,
                         Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& vec_const,
    const Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,
                                          Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_map) {
    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    const Tpetra::MultiVector<Sacado::UQ::PCE<Storage>,LocalOrdinal,GlobalOrdinal,Node>& mv = vec_const;
    Teuchos::RCP< Tpetra::MultiVector<typename Storage::value_type,LocalOrdinal,GlobalOrdinal,Node> > flat_mv = create_flat_vector_view(mv, flat_map);
    return flat_mv->getVector(0);
  }

  // Create a flattened vector by unrolling the UQ::PCE scalar type.  The
  // returned vector is a view of the original.  This version creates the
  // map if necessary
  template <typename Storage, typename LocalOrdinal, typename GlobalOrdinal,
            typename Device>
  Teuchos::RCP< const Tpetra::Vector<typename Storage::value_type,
                                     LocalOrdinal,GlobalOrdinal,
                                     Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_vector_view(
    const Tpetra::Vector<Sacado::UQ::PCE<Storage>,
                         LocalOrdinal,GlobalOrdinal,
                         Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& vec,
    Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,
                                    Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_map) {
    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    if (flat_map == Teuchos::null) {
      const LocalOrdinal pce_size =
        Kokkos::dimension_scalar(vec.template getLocalView<Device>());
      flat_map = create_flat_map(*(vec.getMap()), pce_size);
    }
    const Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,Node> > const_flat_map = flat_map;
    return create_flat_vector_view(vec, const_flat_map);
  }

  // Create a flattened vector by unrolling the UQ::PCE scalar type.  The
  // returned vector is a view of the original
  template <typename Storage, typename LocalOrdinal, typename GlobalOrdinal,
            typename Device>
  Teuchos::RCP< Tpetra::Vector<typename Storage::value_type,
                               LocalOrdinal,GlobalOrdinal,
                               Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_vector_view(
    Tpetra::Vector<Sacado::UQ::PCE<Storage>,
                   LocalOrdinal,GlobalOrdinal,
                   Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& vec,
    const Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,
                                          Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_map) {
    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    Tpetra::MultiVector<Sacado::UQ::PCE<Storage>,LocalOrdinal,GlobalOrdinal,Node>& mv = vec;
    Teuchos::RCP< Tpetra::MultiVector<typename Storage::value_type,LocalOrdinal,GlobalOrdinal,Node> > flat_mv = create_flat_vector_view(mv, flat_map);
    return flat_mv->getVectorNonConst(0);
  }

  // Create a flattened vector by unrolling the UQ::PCE scalar type.  The
  // returned vector is a view of the original.  This version creates the
  // map if necessary
  template <typename Storage, typename LocalOrdinal, typename GlobalOrdinal,
            typename Device>
  Teuchos::RCP< Tpetra::Vector<typename Storage::value_type,
                               LocalOrdinal,GlobalOrdinal,
                               Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_vector_view(
    Tpetra::Vector<Sacado::UQ::PCE<Storage>,
                   LocalOrdinal,GlobalOrdinal,
                   Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& vec,
    Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,
                                    Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_map) {
    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    if (flat_map == Teuchos::null) {
      const LocalOrdinal pce_size =
        Kokkos::dimension_scalar(vec.template getLocalView<Device>());
      flat_map = create_flat_map(*(vec.getMap()), pce_size);
    }
    const Teuchos::RCP< const Tpetra::Map<LocalOrdinal,GlobalOrdinal,Node> > const_flat_map = flat_map;
    return create_flat_vector_view(vec, const_flat_map);
  }

  // Create a flattened matrix by unrolling the UQ::PCE scalar type.  The
  // returned matrix is NOT a view of the original (and can't be)
  template <typename Storage, typename LocalOrdinal, typename GlobalOrdinal,
            typename Device, typename CijkType>
  Teuchos::RCP< Tpetra::CrsMatrix<typename Storage::value_type,
                                  LocalOrdinal,GlobalOrdinal,
                                  Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >
  create_flat_matrix(
    const Tpetra::CrsMatrix<Sacado::UQ::PCE<Storage>,
                            LocalOrdinal,GlobalOrdinal,Kokkos::Compat::KokkosDeviceWrapperNode<Device> >& mat,
    const Teuchos::RCP<const Tpetra::CrsGraph<LocalOrdinal,GlobalOrdinal,Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& flat_graph,
    const Teuchos::RCP<const Tpetra::CrsGraph<LocalOrdinal,GlobalOrdinal,Kokkos::Compat::KokkosDeviceWrapperNode<Device> > >& cijk_graph,
    const CijkType& cijk) {
    using Teuchos::ArrayView;
    using Teuchos::Array;
    using Teuchos::RCP;
    using Teuchos::rcp;

    typedef Kokkos::Compat::KokkosDeviceWrapperNode<Device> Node;
    typedef Sacado::UQ::PCE<Storage> Scalar;
    typedef typename Storage::value_type BaseScalar;
    typedef Tpetra::CrsMatrix<BaseScalar,LocalOrdinal,GlobalOrdinal,Node> FlatMatrix;

    const LocalOrdinal block_size = cijk.dimension();
    const LocalOrdinal matrix_pce_size =
      Kokkos::dimension_scalar(mat.getLocalMatrix().values);

    // Create flat matrix
    RCP<FlatMatrix> flat_mat = rcp(new FlatMatrix(flat_graph));

    // Fill flat matrix
    ArrayView<const Scalar> outer_values;
    ArrayView<const LocalOrdinal> outer_cols;
    ArrayView<const LocalOrdinal> inner_cols;
    ArrayView<const LocalOrdinal> flat_cols;
    Array<BaseScalar> flat_values;
    flat_values.reserve(flat_graph->getNodeMaxNumRowEntries());
    const LocalOrdinal num_outer_rows = mat.getNodeNumRows();
    for (LocalOrdinal outer_row=0; outer_row < num_outer_rows; outer_row++) {

      // Get outer columns and values for this outer row
      mat.getLocalRowView(outer_row, outer_cols, outer_values);
      const LocalOrdinal num_outer_cols = outer_cols.size();

      // Loop over inner rows
      for (LocalOrdinal inner_row=0; inner_row < block_size; inner_row++) {

        // Compute flat row index
        const LocalOrdinal flat_row = outer_row*block_size + inner_row;

        // Get cijk column indices for this row
        cijk_graph->getLocalRowView(inner_row, inner_cols);
        const LocalOrdinal num_inner_cols = inner_cols.size();

        // Create space to store all values for this flat row
        const LocalOrdinal num_flat_indices = num_outer_cols*num_inner_cols;
        //flat_values.resize(num_flat_indices);
        flat_values.assign(num_flat_indices, BaseScalar(0));

        if (matrix_pce_size == 1) {
          // Mean-based case

          // Loop over outer cols
          for (LocalOrdinal outer_entry=0; outer_entry<num_outer_cols;
               ++outer_entry) {

            // Extract mean PCE entry for each outer column
            flat_values[outer_entry] = outer_values[outer_entry].coeff(0);

          }

        }
        else {

          // Loop over cijk non-zeros for this inner row
          const size_t num_entry = cijk.num_entry(inner_row);
          const size_t entry_beg = cijk.entry_begin(inner_row);
          const size_t entry_end = entry_beg + num_entry;
          for (size_t entry = entry_beg; entry < entry_end; ++entry) {
            const LocalOrdinal j = cijk.coord(entry,0);
            const LocalOrdinal k = cijk.coord(entry,1);
            const BaseScalar   c = cijk.value(entry);

            // Find column offset for j
            typedef typename ArrayView<const LocalOrdinal>::iterator iterator;
            iterator ptr_j =
              std::find(inner_cols.begin(), inner_cols.end(), j);
            iterator ptr_k =
              std::find(inner_cols.begin(), inner_cols.end(), k);
            const LocalOrdinal j_offset = ptr_j - inner_cols.begin();
            const LocalOrdinal k_offset = ptr_k - inner_cols.begin();

            // Loop over outer cols
            for (LocalOrdinal outer_entry=0; outer_entry<num_outer_cols;
                 ++outer_entry) {

              // Add contributions for each outer column
              flat_values[outer_entry*num_inner_cols + j_offset] +=
                c*outer_values[outer_entry].coeff(k);
              flat_values[outer_entry*num_inner_cols + k_offset] +=
                c*outer_values[outer_entry].coeff(j);

            }

          }

        }

        // Set values in flat matrix
        flat_graph->getLocalRowView(flat_row, flat_cols);
        flat_mat->replaceLocalValues(flat_row, flat_cols, flat_values());

      }

    }
    flat_mat->fillComplete(flat_graph->getDomainMap(),
                           flat_graph->getRangeMap());

    return flat_mat;
  }

#endif

} // namespace Stokhos

#endif // STOKHOS_TPETRA_UTILITIES_MP_VECTOR_HPP