MueLu  Version of the Day
MueLu_LocalLexicographicIndexManager_def.hpp
Go to the documentation of this file.
1 // @HEADER
2 //
3 // ***********************************************************************
4 //
5 // MueLu: A package for multigrid based preconditioning
6 // Copyright 2012 Sandia Corporation
7 //
8 // Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
9 // the U.S. Government retains certain rights in this software.
10 //
11 // Redistribution and use in source and binary forms, with or without
12 // modification, are permitted provided that the following conditions are
13 // met:
14 //
15 // 1. Redistributions of source code must retain the above copyright
16 // notice, this list of conditions and the following disclaimer.
17 //
18 // 2. Redistributions in binary form must reproduce the above copyright
19 // notice, this list of conditions and the following disclaimer in the
20 // documentation and/or other materials provided with the distribution.
21 //
22 // 3. Neither the name of the Corporation nor the names of the
23 // contributors may be used to endorse or promote products derived from
24 // this software without specific prior written permission.
25 //
26 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
27 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
28 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
29 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
30 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
31 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
32 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
33 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
34 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
35 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
36 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
37 //
38 // Questions? Contact
39 // Jonathan Hu (jhu@sandia.gov)
40 // Ray Tuminaro (rstumin@sandia.gov)
41 // Luc Berger-Vergoat (lberge@sandia.gov)
42 //
43 // ***********************************************************************
44 //
45 // @HEADER
46 #ifndef MUELU_LOCALLEXICOGRAPHICINDEXMANAGER_DEF_HPP_
47 #define MUELU_LOCALLEXICOGRAPHICINDEXMANAGER_DEF_HPP_
48 
50 #include <Xpetra_MapFactory.hpp>
51 
52 namespace MueLu {
53 
54  template <class LocalOrdinal, class GlobalOrdinal, class Node>
56  LocalLexicographicIndexManager(const RCP<const Teuchos::Comm<int> > comm, const bool coupled,
57  const int NumDimensions, const int interpolationOrder,
58  const int MyRank, const int NumRanks,
59  const Array<GO> GFineNodesPerDir, const Array<LO> LFineNodesPerDir,
60  const Array<LO> CoarseRate, const Array<GO> MeshData) :
61  IndexManager(comm, coupled, NumDimensions, interpolationOrder, GFineNodesPerDir, LFineNodesPerDir),
62  myRank(MyRank), numRanks(NumRanks) {
63 
64  // Allocate data based on user input
65  meshData.resize(numRanks);
66  rankIndices.resize(numRanks);
67  coarseMeshData.resize(numRanks);
68 
69  // Load coarse rate, being careful about formating
70  for(int dim = 0; dim < 3; ++dim) {
71  if(dim < this->numDimensions) {
72  if(CoarseRate.size() == 1) {
73  this->coarseRate[dim] = CoarseRate[0];
74  } else if(CoarseRate.size() == this->numDimensions) {
75  this->coarseRate[dim] = CoarseRate[dim];
76  }
77  } else {
78  this->coarseRate[dim] = 1;
79  }
80  }
81 
82  // Load meshData for local lexicographic case
83  for(int rank = 0; rank < numRanks; ++rank) {
84  meshData[rank].resize(10);
85  for(int entry = 0; entry < 10; ++entry) {
86  meshData[rank][entry] = MeshData[10*rank + entry];
87  }
88  }
89 
90  if(this->coupled_) {
91  myBlock = meshData[myRank][2];
93  }
94 
95  // Start simple parameter calculation
97  for(int dim = 0; dim < 3; ++dim) {
98  this->startIndices[dim] = meshData[myRankIndex][2*dim + 3];
99  this->startIndices[dim + 3] = meshData[myRankIndex][2*dim + 4];
100  }
101 
102  this->computeMeshParameters();
105  } // Constructor
106 
107  template <class LocalOrdinal, class GlobalOrdinal, class Node>
110  this->gNumCoarseNodes10 = this->gCoarseNodesPerDir[0]*this->gCoarseNodesPerDir[1];
111  this->gNumCoarseNodes = this->gNumCoarseNodes10*this->gCoarseNodesPerDir[2];
112  }
113 
114  template <class LocalOrdinal, class GlobalOrdinal, class Node>
116  getGhostedNodesData(const RCP<const Map>fineMap,
117  Array<LO>& ghostedNodeCoarseLIDs, Array<int>& ghostedNodeCoarsePIDs, Array<GO>& ghostedNodeCoarseGIDs) const {
118 
119  // First we allocated memory for the outputs
120  ghostedNodeCoarseLIDs.resize(this->getNumLocalGhostedNodes());
121  ghostedNodeCoarsePIDs.resize(this->getNumLocalGhostedNodes());
122  ghostedNodeCoarseGIDs.resize(this->numGhostedNodes);
123 
124  // Now the tricky part starts, the coarse nodes / ghosted coarse nodes need to be imported.
125  // This requires finding what their GID on the fine mesh is. They need to be ordered
126  // lexicographically to allow for fast sweeps through the mesh.
127 
128  // We loop over all ghosted coarse nodes by increasing global lexicographic order
129  Array<LO> ghostedCoarseNodeCoarseIndices(3), ghostedCoarseNodeFineIndices(3);
130  Array<LO> lCoarseNodeCoarseIndices(3);
131  Array<GO> lCoarseNodeCoarseGIDs(this->lNumCoarseNodes);
132  LO currentIndex = -1, countCoarseNodes = 0;
133  for(int k = 0; k < this->ghostedNodesPerDir[2]; ++k) {
134  for(int j = 0; j < this->ghostedNodesPerDir[1]; ++j) {
135  for(int i = 0; i < this->ghostedNodesPerDir[0]; ++i) {
136  currentIndex = k*this->numGhostedNodes10 + j*this->ghostedNodesPerDir[0] + i;
137  ghostedCoarseNodeCoarseIndices[0] = this->startGhostedCoarseNode[0] + i;
138  ghostedCoarseNodeFineIndices[0] = ghostedCoarseNodeCoarseIndices[0]*this->coarseRate[0];
139  if(ghostedCoarseNodeFineIndices[0] > this->gFineNodesPerDir[0] - 1) {
140  ghostedCoarseNodeFineIndices[0] = this->gFineNodesPerDir[0] - 1;
141  }
142  ghostedCoarseNodeCoarseIndices[1] = this->startGhostedCoarseNode[1] + j;
143  ghostedCoarseNodeFineIndices[1] = ghostedCoarseNodeCoarseIndices[1]*this->coarseRate[1];
144  if(ghostedCoarseNodeFineIndices[1] > this->gFineNodesPerDir[1] - 1) {
145  ghostedCoarseNodeFineIndices[1] = this->gFineNodesPerDir[1] - 1;
146  }
147  ghostedCoarseNodeCoarseIndices[2] = this->startGhostedCoarseNode[2] + k;
148  ghostedCoarseNodeFineIndices[2] = ghostedCoarseNodeCoarseIndices[2]*this->coarseRate[2];
149  if(ghostedCoarseNodeFineIndices[2] > this->gFineNodesPerDir[2] - 1) {
150  ghostedCoarseNodeFineIndices[2] = this->gFineNodesPerDir[2] - 1;
151  }
152 
153  GO myGID = -1, myCoarseGID = -1;
154  LO myLID = -1, myPID = -1, myCoarseLID = -1;
155  getGIDLocalLexicographic(i, j, k, ghostedCoarseNodeFineIndices, myGID, myPID, myLID);
156 
157  int rankIndex = rankIndices[myPID];
158  for(int dim = 0; dim < 3; ++dim) {
159  if(dim < this->numDimensions) {
160  lCoarseNodeCoarseIndices[dim] = ghostedCoarseNodeCoarseIndices[dim]
161  - coarseMeshData[rankIndex][3 + 2*dim];
162  }
163  }
164  LO myRankIndexCoarseNodesInDir0 = coarseMeshData[rankIndex][4]
165  - coarseMeshData[rankIndex][3] + 1;
166  LO myRankIndexCoarseNodes10 = (coarseMeshData[rankIndex][6]
167  - coarseMeshData[rankIndex][5] + 1)
168  *myRankIndexCoarseNodesInDir0;
169  myCoarseLID = lCoarseNodeCoarseIndices[2]*myRankIndexCoarseNodes10
170  + lCoarseNodeCoarseIndices[1]*myRankIndexCoarseNodesInDir0
171  + lCoarseNodeCoarseIndices[0];
172  myCoarseGID = myCoarseLID + coarseMeshData[rankIndex][9];
173 
174  ghostedNodeCoarseLIDs[currentIndex] = myCoarseLID;
175  ghostedNodeCoarsePIDs[currentIndex] = myPID;
176  ghostedNodeCoarseGIDs[currentIndex] = myCoarseGID;
177 
178  if(myPID == myRank) {
179  lCoarseNodeCoarseGIDs[countCoarseNodes] = myCoarseGID;
180  ++countCoarseNodes;
181  }
182  }
183  }
184  }
185  }
186 
187  template<class LocalOrdinal, class GlobalOrdinal, class Node>
189  getCoarseNodesData(const RCP<const Map> fineCoordinatesMap,
190  Array<GO>& coarseNodeCoarseGIDs,
191  Array<GO>& coarseNodeFineGIDs) const {
192 
193  // Allocate sufficient storage space for outputs
194  coarseNodeCoarseGIDs.resize(this->getNumLocalCoarseNodes());
195  coarseNodeFineGIDs.resize(this->getNumLocalCoarseNodes());
196 
197  // Load all the GIDs on the fine mesh
198  ArrayView<const GO> fineNodeGIDs = fineCoordinatesMap->getNodeElementList();
199 
200  Array<GO> coarseStartIndices(3);
201  GO tmp;
202  for(int dim = 0; dim < 3; ++dim) {
203  coarseStartIndices[dim] = this->coarseMeshData[myRankIndex][2*dim + 3];
204  }
205 
206  // Extract the fine LIDs of the coarse nodes and store the corresponding GIDs
207  LO fineLID;
208  for(LO coarseLID = 0; coarseLID < this->getNumLocalCoarseNodes(); ++coarseLID) {
209  Array<LO> coarseIndices(3), fineIndices(3), gCoarseIndices(3);
210  this->getCoarseNodeLocalTuple(coarseLID,
211  coarseIndices[0],
212  coarseIndices[1],
213  coarseIndices[2]);
214  getCoarseNodeFineLID(coarseIndices[0],coarseIndices[1],coarseIndices[2],fineLID);
215  coarseNodeFineGIDs[coarseLID] = fineNodeGIDs[fineLID];
216 
217  LO myRankIndexCoarseNodesInDir0 = coarseMeshData[myRankIndex][4]
218  - coarseMeshData[myRankIndex][3] + 1;
219  LO myRankIndexCoarseNodes10 = (coarseMeshData[myRankIndex][6]
220  - coarseMeshData[myRankIndex][5] + 1)
221  *myRankIndexCoarseNodesInDir0;
222  LO myCoarseLID = coarseIndices[2]*myRankIndexCoarseNodes10
223  + coarseIndices[1]*myRankIndexCoarseNodesInDir0
224  + coarseIndices[0];
225  GO myCoarseGID = myCoarseLID + coarseMeshData[myRankIndex][9];
226  coarseNodeCoarseGIDs[coarseLID] = myCoarseGID;
227  }
228 
229  }
230 
231  template<class LocalOrdinal, class GlobalOrdinal, class Node>
233  getGIDLocalLexicographic(const LO iGhosted, const LO jGhosted, const LO kGhosted,
234  const Array<LO> coarseNodeFineIndices,
235  GO& myGID, LO& myPID, LO& myLID) const {
236 
237  LO ni = -1, nj = -1, li = -1, lj = -1, lk = -1;
238  LO myRankGuess = myRankIndex;
239  // We try to make a logical guess as to which PID owns the current coarse node
240  if(iGhosted == 0 && this->ghostInterface[0]) {
241  --myRankGuess;
242  } else if((iGhosted == this->ghostedNodesPerDir[0] - 1) && this->ghostInterface[1]) {
243  ++myRankGuess;
244  }
245  if(jGhosted == 0 && this->ghostInterface[2]) {
246  myRankGuess -= pi;
247  } else if((jGhosted == this->ghostedNodesPerDir[1] - 1) && this->ghostInterface[3]) {
248  myRankGuess += pi;
249  }
250  if(kGhosted == 0 && this->ghostInterface[4]) {
251  myRankGuess -= pj*pi;
252  } else if((kGhosted == this->ghostedNodesPerDir[2] - 1) && this->ghostInterface[5]) {
253  myRankGuess += pj*pi;
254  }
255  if(coarseNodeFineIndices[0] >= meshData[myRankGuess][3]
256  && coarseNodeFineIndices[0] <= meshData[myRankGuess][4]
257  && coarseNodeFineIndices[1] >= meshData[myRankGuess][5]
258  && coarseNodeFineIndices[1] <= meshData[myRankGuess][6]
259  && coarseNodeFineIndices[2] >= meshData[myRankGuess][7]
260  && coarseNodeFineIndices[2] <= meshData[myRankGuess][8]
261  && myRankGuess < numRanks - 1) {
262  myPID = meshData[myRankGuess][0];
263  ni = meshData[myRankGuess][4] - meshData[myRankGuess][3] + 1;
264  nj = meshData[myRankGuess][6] - meshData[myRankGuess][5] + 1;
265  li = coarseNodeFineIndices[0] - meshData[myRankGuess][3];
266  lj = coarseNodeFineIndices[1] - meshData[myRankGuess][5];
267  lk = coarseNodeFineIndices[2] - meshData[myRankGuess][7];
268  myLID = lk*nj*ni + lj*ni + li;
269  myGID = meshData[myRankGuess][9] + myLID;
270  } else { // The guess failed, let us use the heavy artilery: std::find_if()
271  // It could be interesting to monitor how many times this branch of the code gets
272  // used as it is far more expensive than the above one...
273  auto nodeRank = std::find_if(myBlockStart, myBlockEnd,
274  [coarseNodeFineIndices](const std::vector<GO>& vec){
275  if(coarseNodeFineIndices[0] >= vec[3]
276  && coarseNodeFineIndices[0] <= vec[4]
277  && coarseNodeFineIndices[1] >= vec[5]
278  && coarseNodeFineIndices[1] <= vec[6]
279  && coarseNodeFineIndices[2] >= vec[7]
280  && coarseNodeFineIndices[2] <= vec[8]) {
281  return true;
282  } else {
283  return false;
284  }
285  });
286  myPID = (*nodeRank)[0];
287  ni = (*nodeRank)[4] - (*nodeRank)[3] + 1;
288  nj = (*nodeRank)[6] - (*nodeRank)[5] + 1;
289  li = coarseNodeFineIndices[0] - (*nodeRank)[3];
290  lj = coarseNodeFineIndices[1] - (*nodeRank)[5];
291  lk = coarseNodeFineIndices[2] - (*nodeRank)[7];
292  myLID = lk*nj*ni + lj*ni + li;
293  myGID = (*nodeRank)[9] + myLID;
294  }
295  }
296 
297  template <class LocalOrdinal, class GlobalOrdinal, class Node>
300 
301  std::sort(meshData.begin(), meshData.end(),
302  [](const std::vector<GO>& a, const std::vector<GO>& b)->bool {
303  // The below function sorts ranks by blockID, kmin, jmin and imin
304  if(a[2] < b[2]) {
305  return true;
306  } else if(a[2] == b[2]) {
307  if(a[7] < b[7]) {
308  return true;
309  } else if(a[7] == b[7]) {
310  if(a[5] < b[5]) {
311  return true;
312  } else if(a[5] == b[5]) {
313  if(a[3] < b[3]) {return true;}
314  }
315  }
316  }
317  return false;
318  });
319 
320  numBlocks = meshData[numRanks - 1][2] + 1;
321  // Find the range of the current block
322  myBlockStart = std::lower_bound(meshData.begin(), meshData.end(), myBlock - 1,
323  [] (const std::vector<GO>& vec, const GO val)->bool {
324  return (vec[2] < val) ? true : false;
325  });
326  myBlockEnd = std::upper_bound(meshData.begin(), meshData.end(), myBlock,
327  [] (const GO val, const std::vector<GO>& vec)->bool {
328  return (val < vec[2]) ? true : false;
329  });
330  // Assuming that i,j,k and ranges are split in pi, pj and pk processors
331  // we search for these numbers as they will allow us to find quickly the PID of processors
332  // owning ghost nodes.
333  auto myKEnd = std::upper_bound(myBlockStart, myBlockEnd, (*myBlockStart)[3],
334  [] (const GO val, const std::vector<GO>& vec)->bool {
335  return (val < vec[7]) ? true : false;
336  });
337  auto myJEnd = std::upper_bound(myBlockStart, myKEnd, (*myBlockStart)[3],
338  [] (const GO val, const std::vector<GO>& vec)->bool {
339  return (val < vec[5]) ? true : false;
340  });
341  pi = std::distance(myBlockStart, myJEnd);
342  pj = std::distance(myBlockStart, myKEnd) / pi;
343  pk = std::distance(myBlockStart, myBlockEnd) / (pj*pi);
344 
345  // We also look for the index of the local rank in the current block.
346  const int MyRank = myRank;
347  myRankIndex = std::distance(meshData.begin(),
348  std::find_if(myBlockStart, myBlockEnd,
349  [MyRank] (const std::vector<GO>& vec)->bool {
350  return (vec[0] == MyRank) ? true : false;
351  })
352  );
353  // We also construct a mapping of rank to rankIndex in the meshData vector,
354  // this will allow us to access data quickly later on.
355  for(int rankIndex = 0; rankIndex < numRanks; ++rankIndex) {
356  rankIndices[meshData[rankIndex][0]] = rankIndex;
357  }
358  }
359 
360  template <class LocalOrdinal, class GlobalOrdinal, class Node>
363  Array<LO> rankOffset(3);
364  for(int rank = 0; rank < numRanks; ++rank) {
365  coarseMeshData[rank].resize(10);
366  coarseMeshData[rank][0] = meshData[rank][0];
367  coarseMeshData[rank][1] = meshData[rank][1];
368  coarseMeshData[rank][2] = meshData[rank][2];
369  for(int dim = 0; dim < 3; ++dim) {
370  coarseMeshData[rank][3 + 2*dim] = meshData[rank][3 + 2*dim] / this->coarseRate[dim];
371  if(meshData[rank][3 + 2*dim] % this->coarseRate[dim] > 0) {
372  ++coarseMeshData[rank][3 + 2*dim];
373  }
374  coarseMeshData[rank][3 + 2*dim + 1] = meshData[rank][3 + 2*dim + 1] / this->coarseRate[dim];
375  if(meshData[rank][3 + 2*dim + 1] == this->gFineNodesPerDir[dim] - 1 &&
376  meshData[rank][3 + 2*dim + 1] % this->coarseRate[dim] > 0) {
377  //this->endRate[dim] < this->coarseRate[dim]) {
378  ++coarseMeshData[rank][3 + 2*dim + 1];
379  }
380  }
381  if(rank > 0) {
382  coarseMeshData[rank][9] = coarseMeshData[rank - 1][9]
383  + (coarseMeshData[rank - 1][8] - coarseMeshData[rank - 1][7] + 1)
384  * (coarseMeshData[rank - 1][6] - coarseMeshData[rank - 1][5] + 1)
385  * (coarseMeshData[rank - 1][4] - coarseMeshData[rank - 1][3] + 1);
386  }
387  }
388  }
389 
390  template <class LocalOrdinal, class GlobalOrdinal, class Node>
391  std::vector<std::vector<GlobalOrdinal> > LocalLexicographicIndexManager<LocalOrdinal, GlobalOrdinal, Node>::
392  getCoarseMeshData() const {return coarseMeshData;}
393 
394  template <class LocalOrdinal, class GlobalOrdinal, class Node>
396  getFineNodeGlobalTuple(const GO myGID, GO& i, GO& j, GO& k) const {
397  }
398 
399  template <class LocalOrdinal, class GlobalOrdinal, class Node>
401  getFineNodeLocalTuple(const LO myLID, LO& i, LO& j, LO& k) const {
402  LO tmp;
403  k = myLID / this->lNumFineNodes10;
404  tmp = myLID % this->lNumFineNodes10;
405  j = tmp / this->lFineNodesPerDir[0];
406  i = tmp % this->lFineNodesPerDir[0];
407  }
408 
409  template <class LocalOrdinal, class GlobalOrdinal, class Node>
411  getFineNodeGhostedTuple(const LO myLID, LO& i, LO& j, LO& k) const {
412  LO tmp;
413  k = myLID / this->lNumFineNodes10;
414  tmp = myLID % this->lNumFineNodes10;
415  j = tmp / this->lFineNodesPerDir[0];
416  i = tmp % this->lFineNodesPerDir[0];
417 
418  k += this->offsets[2];
419  j += this->offsets[1];
420  i += this->offsets[0];
421  }
422 
423  template <class LocalOrdinal, class GlobalOrdinal, class Node>
425  getFineNodeGID(const GO i, const GO j, const GO k, GO& myGID) const {
426  }
427 
428  template <class LocalOrdinal, class GlobalOrdinal, class Node>
430  getFineNodeLID(const LO i, const LO j, const LO k, LO& myLID) const {
431  }
432 
433  template <class LocalOrdinal, class GlobalOrdinal, class Node>
435  getCoarseNodeGlobalTuple(const GO myGID, GO& i, GO& j, GO& k) const {
436  }
437 
438  template <class LocalOrdinal, class GlobalOrdinal, class Node>
440  getCoarseNodeLocalTuple(const LO myLID, LO& i, LO& j, LO& k) const {
441  LO tmp;
442  k = myLID / this->lNumCoarseNodes10;
443  tmp = myLID % this->lNumCoarseNodes10;
444  j = tmp / this->lCoarseNodesPerDir[0];
445  i = tmp % this->lCoarseNodesPerDir[0];
446  }
447 
448  template <class LocalOrdinal, class GlobalOrdinal, class Node>
450  getCoarseNodeGID(const GO i, const GO j, const GO k, GO& myGID) const {
451  }
452 
453  template <class LocalOrdinal, class GlobalOrdinal, class Node>
455  getCoarseNodeLID(const LO i, const LO j, const LO k, LO& myLID) const {
456  }
457 
458  template <class LocalOrdinal, class GlobalOrdinal, class Node>
460  getCoarseNodeGhostedLID(const LO i, const LO j, const LO k, LO& myLID) const {
461  myLID = k*this->numGhostedNodes10 + j*this->ghostedNodesPerDir[0] + i;
462  }
463 
464  template <class LocalOrdinal, class GlobalOrdinal, class Node>
466  getCoarseNodeFineLID(const LO i, const LO j, const LO k, LO& myLID) const {
467  // Assumptions: (i,j,k) is a tuple on the coarse mesh
468  // myLID is the corresponding local ID on the fine mesh
469  const GO multiplier[3] = {1, this->lFineNodesPerDir[0], this->lNumFineNodes10};
470  const LO indices[3] = {i, j, k};
471 
472  myLID = 0;
473  for(int dim = 0; dim < 3; ++dim) {
474  if((indices[dim] == this->getLocalCoarseNodesInDir(dim) - 1) && this->meshEdge[2*dim + 1]) {
475  // We are dealing with the last node on the mesh in direction dim
476  // so we can simply use the number of nodes on the fine mesh in that direction
477  myLID += (this->getLocalFineNodesInDir(dim) - 1)*multiplier[dim];
478  } else {
479  myLID += (indices[dim]*this->getCoarseningRate(dim) + this->getCoarseNodeOffset(dim))
480  *multiplier[dim];
481  }
482  }
483  }
484 
485  template <class LocalOrdinal, class GlobalOrdinal, class Node>
487  getGhostedNodeFineLID(const LO i, const LO j, const LO k, LO& myLID) const {
488  }
489 
490  template <class LocalOrdinal, class GlobalOrdinal, class Node>
492  getGhostedNodeCoarseLID(const LO i, const LO j, const LO k, LO& myLID) const {
493  }
494 
495 } //namespace MueLu
496 
497 #endif /* MUELU_LOCALLEXICOGRAPHICINDEXMANAGER_DEF_HPP_ */
MueLu::LocalLexicographicIndexManager::getCoarseNodeLID
void getCoarseNodeLID(const LO i, const LO j, const LO k, LO &myLID) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:455
MueLu::LocalLexicographicIndexManager::LocalLexicographicIndexManager
LocalLexicographicIndexManager()=default
MueLu::LocalLexicographicIndexManager::rankIndices
Array< int > rankIndices
mapping between rank ID and reordered rank ID.
Definition: MueLu_LocalLexicographicIndexManager_decl.hpp:154
MueLu::LocalLexicographicIndexManager::getGhostedNodeCoarseLID
void getGhostedNodeCoarseLID(const LO i, const LO j, const LO k, LO &myLID) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:492
MueLu::LocalLexicographicIndexManager::myRank
const int myRank
Local rank ID.
Definition: MueLu_LocalLexicographicIndexManager_decl.hpp:141
MueLu::LocalLexicographicIndexManager::getFineNodeGhostedTuple
void getFineNodeGhostedTuple(const LO myLID, LO &i, LO &j, LO &k) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:411
MueLu
Namespace for MueLu classes and methods.
Definition: MueLu_BrickAggregationFactory_decl.hpp:76
MueLu::IndexManager::coupled_
const bool coupled_
Flag for coupled vs uncoupled aggregation mode, if true aggregation is coupled.
Definition: MueLu_IndexManager_decl.hpp:90
MueLu::LocalLexicographicIndexManager::numRanks
const int numRanks
Number of ranks used to decompose the problem.
Definition: MueLu_LocalLexicographicIndexManager_decl.hpp:142
MueLu::IndexManager::coarseRate
Array< int > coarseRate
coarsening rate in each direction
Definition: MueLu_IndexManager_decl.hpp:94
MueLu::LocalLexicographicIndexManager::getGhostedNodesData
void getGhostedNodesData(const RCP< const Map > fineMap, Array< LO > &ghostedNodeCoarseLIDs, Array< int > &ghostedNodeCoarsePIDs, Array< GO > &ghostedNodeCoarseGIDs) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:116
MueLu::LocalLexicographicIndexManager::getCoarseMeshData
std::vector< std::vector< GO > > getCoarseMeshData() const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:392
MueLu::LocalLexicographicIndexManager::computeGlobalCoarseParameters
void computeGlobalCoarseParameters()
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:109
MueLu::LocalLexicographicIndexManager::getCoarseNodesData
void getCoarseNodesData(const RCP< const Map > fineCoordinatesMap, Array< GO > &coarseNodeCoarseGIDs, Array< GO > &coarseNodeFineGIDs) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:189
MueLu::LocalLexicographicIndexManager::meshData
std::vector< std::vector< GO > > meshData
layout of indices accross all processes.
Definition: MueLu_LocalLexicographicIndexManager_decl.hpp:155
MueLu::IndexManager::computeMeshParameters
void computeMeshParameters()
Definition: MueLu_IndexManager_def.hpp:86
MueLu_LocalLexicographicIndexManager_decl.hpp
MueLu::LocalLexicographicIndexManager::getCoarseNodeGID
void getCoarseNodeGID(const GO i, const GO j, const GO k, GO &myGID) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:450
MueLu::IndexManager::numDimensions
const int numDimensions
Number of spacial dimensions in the problem.
Definition: MueLu_IndexManager_decl.hpp:91
MueLu::LocalLexicographicIndexManager::getFineNodeGlobalTuple
void getFineNodeGlobalTuple(const GO myGID, GO &i, GO &j, GO &k) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:396
MueLu::LocalLexicographicIndexManager::getFineNodeLocalTuple
void getFineNodeLocalTuple(const LO myLID, LO &i, LO &j, LO &k) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:401
MueLu::LocalLexicographicIndexManager::getGIDLocalLexicographic
void getGIDLocalLexicographic(const LO iGhosted, const LO jGhosted, const LO kGhosted, const Array< LO > coarseNodeFineIndices, GO &myGID, LO &myPID, LO &myLID) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:233
MueLu::IndexManager::startIndices
Array< GO > startIndices
lowest global tuple (i,j,k) of a node on the local process
Definition: MueLu_IndexManager_decl.hpp:121
MueLu::LocalLexicographicIndexManager::myBlock
int myBlock
local mesh block ID.
Definition: MueLu_LocalLexicographicIndexManager_decl.hpp:151
MueLu::LocalLexicographicIndexManager::coarseMeshData
std::vector< std::vector< GO > > coarseMeshData
layout of indices accross all processes after coarsening.
Definition: MueLu_LocalLexicographicIndexManager_decl.hpp:156
MueLu::LocalLexicographicIndexManager::getCoarseNodeLocalTuple
void getCoarseNodeLocalTuple(const LO myLID, LO &i, LO &j, LO &k) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:440
MueLu::LocalLexicographicIndexManager::getCoarseNodeFineLID
void getCoarseNodeFineLID(const LO i, const LO j, const LO k, LO &myLID) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:466
MueLu::IndexManager
Container class for mesh layout and indices calculation.
Definition: MueLu_IndexManager_decl.hpp:81
MueLu::LocalLexicographicIndexManager::getCoarseNodeGlobalTuple
void getCoarseNodeGlobalTuple(const GO myGID, GO &i, GO &j, GO &k) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:435
MueLu::LocalLexicographicIndexManager::getFineNodeGID
void getFineNodeGID(const GO i, const GO j, const GO k, GO &myGID) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:425
MueLu::LocalLexicographicIndexManager::getCoarseNodeGhostedLID
void getCoarseNodeGhostedLID(const LO i, const LO j, const LO k, LO &myLID) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:460
MueLu::LocalLexicographicIndexManager::getGhostedNodeFineLID
void getGhostedNodeFineLID(const LO i, const LO j, const LO k, LO &myLID) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:487
Teuchos::Comm
Definition: MueLu_Memory.hpp:52
MueLu::LocalLexicographicIndexManager::sortLocalLexicographicData
void sortLocalLexicographicData()
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:299
MueLu::LocalLexicographicIndexManager::computeCoarseLocalLexicographicData
void computeCoarseLocalLexicographicData()
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:362
MueLu::LocalLexicographicIndexManager::getFineNodeLID
void getFineNodeLID(const LO i, const LO j, const LO k, LO &myLID) const
Definition: MueLu_LocalLexicographicIndexManager_def.hpp:430
MueLu::LocalLexicographicIndexManager::myRankIndex
int myRankIndex
local process index for record in meshData after sorting.
Definition: MueLu_LocalLexicographicIndexManager_decl.hpp:153