Actual source code: pdvec.c
petsc-3.3-p7 2013-05-11
2: /*
3: Code for some of the parallel vector primatives.
4: */
5: #include <../src/vec/vec/impls/mpi/pvecimpl.h> /*I "petscvec.h" I*/
9: PetscErrorCode VecDestroy_MPI(Vec v)
10: {
11: Vec_MPI *x = (Vec_MPI*)v->data;
15: #if defined(PETSC_USE_LOG)
16: PetscLogObjectState((PetscObject)v,"Length=%D",v->map->N);
17: #endif
18: if (!x) return(0);
19: PetscFree(x->array_allocated);
21: /* Destroy local representation of vector if it exists */
22: if (x->localrep) {
23: VecDestroy(&x->localrep);
24: VecScatterDestroy(&x->localupdate);
25: }
26: /* Destroy the stashes: note the order - so that the tags are freed properly */
27: VecStashDestroy_Private(&v->bstash);
28: VecStashDestroy_Private(&v->stash);
29: PetscFree(v->data);
30: return(0);
31: }
35: PetscErrorCode VecView_MPI_ASCII(Vec xin,PetscViewer viewer)
36: {
37: PetscErrorCode ierr;
38: PetscInt i,work = xin->map->n,cnt,len,nLen;
39: PetscMPIInt j,n = 0,size,rank,tag = ((PetscObject)viewer)->tag;
40: MPI_Status status;
41: PetscScalar *values;
42: const PetscScalar *xarray;
43: const char *name;
44: PetscViewerFormat format;
47: VecGetArrayRead(xin,&xarray);
48: /* determine maximum message to arrive */
49: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
50: MPI_Reduce(&work,&len,1,MPIU_INT,MPI_MAX,0,((PetscObject)xin)->comm);
51: MPI_Comm_size(((PetscObject)xin)->comm,&size);
53: if (!rank) {
54: PetscMalloc(len*sizeof(PetscScalar),&values);
55: PetscViewerGetFormat(viewer,&format);
56: /*
57: MATLAB format and ASCII format are very similar except
58: MATLAB uses %18.16e format while ASCII uses %g
59: */
60: if (format == PETSC_VIEWER_ASCII_MATLAB) {
61: PetscObjectGetName((PetscObject)xin,&name);
62: PetscViewerASCIIPrintf(viewer,"%s = [\n",name);
63: for (i=0; i<xin->map->n; i++) {
64: #if defined(PETSC_USE_COMPLEX)
65: if (PetscImaginaryPart(xarray[i]) > 0.0) {
66: PetscViewerASCIIPrintf(viewer,"%18.16e + %18.16ei\n",PetscRealPart(xarray[i]),PetscImaginaryPart(xarray[i]));
67: } else if (PetscImaginaryPart(xarray[i]) < 0.0) {
68: PetscViewerASCIIPrintf(viewer,"%18.16e - %18.16ei\n",PetscRealPart(xarray[i]),-PetscImaginaryPart(xarray[i]));
69: } else {
70: PetscViewerASCIIPrintf(viewer,"%18.16e\n",PetscRealPart(xarray[i]));
71: }
72: #else
73: PetscViewerASCIIPrintf(viewer,"%18.16e\n",xarray[i]);
74: #endif
75: }
76: /* receive and print messages */
77: for (j=1; j<size; j++) {
78: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
79: MPI_Get_count(&status,MPIU_SCALAR,&n);
80: for (i=0; i<n; i++) {
81: #if defined(PETSC_USE_COMPLEX)
82: if (PetscImaginaryPart(values[i]) > 0.0) {
83: PetscViewerASCIIPrintf(viewer,"%18.16e + %18.16e i\n",PetscRealPart(values[i]),PetscImaginaryPart(values[i]));
84: } else if (PetscImaginaryPart(values[i]) < 0.0) {
85: PetscViewerASCIIPrintf(viewer,"%18.16e - %18.16e i\n",PetscRealPart(values[i]),-PetscImaginaryPart(values[i]));
86: } else {
87: PetscViewerASCIIPrintf(viewer,"%18.16e\n",PetscRealPart(values[i]));
88: }
89: #else
90: PetscViewerASCIIPrintf(viewer,"%18.16e\n",values[i]);
91: #endif
92: }
93: }
94: PetscViewerASCIIPrintf(viewer,"];\n");
96: } else if (format == PETSC_VIEWER_ASCII_SYMMODU) {
97: for (i=0; i<xin->map->n; i++) {
98: #if defined(PETSC_USE_COMPLEX)
99: PetscViewerASCIIPrintf(viewer,"%18.16e %18.16e\n",PetscRealPart(xarray[i]),PetscImaginaryPart(xarray[i]));
100: #else
101: PetscViewerASCIIPrintf(viewer,"%18.16e\n",xarray[i]);
102: #endif
103: }
104: /* receive and print messages */
105: for (j=1; j<size; j++) {
106: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
107: MPI_Get_count(&status,MPIU_SCALAR,&n);
108: for (i=0; i<n; i++) {
109: #if defined(PETSC_USE_COMPLEX)
110: PetscViewerASCIIPrintf(viewer,"%18.16e %18.16e\n",PetscRealPart(values[i]),PetscImaginaryPart(values[i]));
111: #else
112: PetscViewerASCIIPrintf(viewer,"%18.16e\n",values[i]);
113: #endif
114: }
115: }
116: } else if (format == PETSC_VIEWER_ASCII_VTK || format == PETSC_VIEWER_ASCII_VTK_CELL) {
117: /*
118: state 0: No header has been output
119: state 1: Only POINT_DATA has been output
120: state 2: Only CELL_DATA has been output
121: state 3: Output both, POINT_DATA last
122: state 4: Output both, CELL_DATA last
123: */
124: static PetscInt stateId = -1;
125: int outputState = 0;
126: PetscBool hasState;
127: int doOutput = 0;
128: PetscInt bs, b;
130: if (stateId < 0) {
131: PetscObjectComposedDataRegister(&stateId);
132: }
133: PetscObjectComposedDataGetInt((PetscObject) viewer, stateId, outputState, hasState);
134: if (!hasState) {
135: outputState = 0;
136: }
137: PetscObjectGetName((PetscObject) xin, &name);
138: VecGetLocalSize(xin, &nLen);
139: n = PetscMPIIntCast(nLen);
140: VecGetBlockSize(xin, &bs);
141: if (format == PETSC_VIEWER_ASCII_VTK) {
142: if (outputState == 0) {
143: outputState = 1;
144: doOutput = 1;
145: } else if (outputState == 1) {
146: doOutput = 0;
147: } else if (outputState == 2) {
148: outputState = 3;
149: doOutput = 1;
150: } else if (outputState == 3) {
151: doOutput = 0;
152: } else if (outputState == 4) {
153: SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "Tried to output POINT_DATA again after intervening CELL_DATA");
154: }
155: if (doOutput) {
156: PetscViewerASCIIPrintf(viewer, "POINT_DATA %d\n", xin->map->N/bs);
157: }
158: } else {
159: if (outputState == 0) {
160: outputState = 2;
161: doOutput = 1;
162: } else if (outputState == 1) {
163: outputState = 4;
164: doOutput = 1;
165: } else if (outputState == 2) {
166: doOutput = 0;
167: } else if (outputState == 3) {
168: SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "Tried to output CELL_DATA again after intervening POINT_DATA");
169: } else if (outputState == 4) {
170: doOutput = 0;
171: }
172: if (doOutput) {
173: PetscViewerASCIIPrintf(viewer, "CELL_DATA %d\n", xin->map->N/bs);
174: }
175: }
176: PetscObjectComposedDataSetInt((PetscObject) viewer, stateId, outputState);
177: if (name) {
178: if (bs == 3) {
179: PetscViewerASCIIPrintf(viewer, "VECTORS %s double\n", name);
180: } else {
181: PetscViewerASCIIPrintf(viewer, "SCALARS %s double %d\n", name, bs);
182: }
183: } else {
184: PetscViewerASCIIPrintf(viewer, "SCALARS scalars double %d\n", bs);
185: }
186: if (bs != 3) {
187: PetscViewerASCIIPrintf(viewer, "LOOKUP_TABLE default\n");
188: }
189: for (i=0; i<n/bs; i++) {
190: for (b=0; b<bs; b++) {
191: if (b > 0) {
192: PetscViewerASCIIPrintf(viewer," ");
193: }
194: PetscViewerASCIIPrintf(viewer,"%G",PetscRealPart(xarray[i*bs+b]));
195: }
196: PetscViewerASCIIPrintf(viewer,"\n");
197: }
198: for (j=1; j<size; j++) {
199: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
200: MPI_Get_count(&status,MPIU_SCALAR,&n);
201: for (i=0; i<n/bs; i++) {
202: for (b=0; b<bs; b++) {
203: if (b > 0) {
204: PetscViewerASCIIPrintf(viewer," ");
205: }
206: PetscViewerASCIIPrintf(viewer,"%G",PetscRealPart(values[i*bs+b]));
207: }
208: PetscViewerASCIIPrintf(viewer,"\n");
209: }
210: }
211: } else if (format == PETSC_VIEWER_ASCII_VTK_COORDS) {
212: PetscInt bs, b;
214: VecGetLocalSize(xin, &nLen);
215: n = PetscMPIIntCast(nLen);
216: VecGetBlockSize(xin, &bs);
217: if ((bs < 1) || (bs > 3)) {
218: SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "VTK can only handle 3D objects, but vector dimension is %d", bs);
219: }
220: for (i=0; i<n/bs; i++) {
221: for (b=0; b<bs; b++) {
222: if (b > 0) {
223: PetscViewerASCIIPrintf(viewer," ");
224: }
225: PetscViewerASCIIPrintf(viewer,"%G",PetscRealPart(xarray[i*bs+b]));
226: }
227: for (b=bs; b<3; b++) {
228: PetscViewerASCIIPrintf(viewer," 0.0");
229: }
230: PetscViewerASCIIPrintf(viewer,"\n");
231: }
232: for (j=1; j<size; j++) {
233: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
234: MPI_Get_count(&status,MPIU_SCALAR,&n);
235: for (i=0; i<n/bs; i++) {
236: for (b=0; b<bs; b++) {
237: if (b > 0) {
238: PetscViewerASCIIPrintf(viewer," ");
239: }
240: PetscViewerASCIIPrintf(viewer,"%G",PetscRealPart(values[i*bs+b]));
241: }
242: for (b=bs; b<3; b++) {
243: PetscViewerASCIIPrintf(viewer," 0.0");
244: }
245: PetscViewerASCIIPrintf(viewer,"\n");
246: }
247: }
248: } else if (format == PETSC_VIEWER_ASCII_PCICE) {
249: PetscInt bs, b, vertexCount = 1;
251: VecGetLocalSize(xin, &nLen);
252: n = PetscMPIIntCast(nLen);
253: VecGetBlockSize(xin, &bs);
254: if ((bs < 1) || (bs > 3)) {
255: SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "PCICE can only handle up to 3D objects, but vector dimension is %d", bs);
256: }
257: PetscViewerASCIIPrintf(viewer,"%D\n", xin->map->N/bs);
258: for (i=0; i<n/bs; i++) {
259: PetscViewerASCIIPrintf(viewer,"%7D ", vertexCount++);
260: for (b=0; b<bs; b++) {
261: if (b > 0) {
262: PetscViewerASCIIPrintf(viewer," ");
263: }
264: #if !defined(PETSC_USE_COMPLEX)
265: PetscViewerASCIIPrintf(viewer,"% 12.5E",xarray[i*bs+b]);
266: #endif
267: }
268: PetscViewerASCIIPrintf(viewer,"\n");
269: }
270: for (j=1; j<size; j++) {
271: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
272: MPI_Get_count(&status,MPIU_SCALAR,&n);
273: for (i=0; i<n/bs; i++) {
274: PetscViewerASCIIPrintf(viewer,"%7D ", vertexCount++);
275: for (b=0; b<bs; b++) {
276: if (b > 0) {
277: PetscViewerASCIIPrintf(viewer," ");
278: }
279: #if !defined(PETSC_USE_COMPLEX)
280: PetscViewerASCIIPrintf(viewer,"% 12.5E",values[i*bs+b]);
281: #endif
282: }
283: PetscViewerASCIIPrintf(viewer,"\n");
284: }
285: }
286: } else {
287: PetscObjectPrintClassNamePrefixType((PetscObject)xin,viewer,"Vector Object");
288: if (format != PETSC_VIEWER_ASCII_COMMON) {PetscViewerASCIIPrintf(viewer,"Process [%d]\n",rank);}
289: cnt = 0;
290: for (i=0; i<xin->map->n; i++) {
291: if (format == PETSC_VIEWER_ASCII_INDEX) {
292: PetscViewerASCIIPrintf(viewer,"%D: ",cnt++);
293: }
294: #if defined(PETSC_USE_COMPLEX)
295: if (PetscImaginaryPart(xarray[i]) > 0.0) {
296: PetscViewerASCIIPrintf(viewer,"%G + %G i\n",PetscRealPart(xarray[i]),PetscImaginaryPart(xarray[i]));
297: } else if (PetscImaginaryPart(xarray[i]) < 0.0) {
298: PetscViewerASCIIPrintf(viewer,"%G - %G i\n",PetscRealPart(xarray[i]),-PetscImaginaryPart(xarray[i]));
299: } else {
300: PetscViewerASCIIPrintf(viewer,"%G\n",PetscRealPart(xarray[i]));
301: }
302: #else
303: PetscViewerASCIIPrintf(viewer,"%G\n",xarray[i]);
304: #endif
305: }
306: /* receive and print messages */
307: for (j=1; j<size; j++) {
308: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
309: MPI_Get_count(&status,MPIU_SCALAR,&n);
310: if (format != PETSC_VIEWER_ASCII_COMMON) {
311: PetscViewerASCIIPrintf(viewer,"Process [%d]\n",j);
312: }
313: for (i=0; i<n; i++) {
314: if (format == PETSC_VIEWER_ASCII_INDEX) {
315: PetscViewerASCIIPrintf(viewer,"%D: ",cnt++);
316: }
317: #if defined(PETSC_USE_COMPLEX)
318: if (PetscImaginaryPart(values[i]) > 0.0) {
319: PetscViewerASCIIPrintf(viewer,"%G + %G i\n",PetscRealPart(values[i]),PetscImaginaryPart(values[i]));
320: } else if (PetscImaginaryPart(values[i]) < 0.0) {
321: PetscViewerASCIIPrintf(viewer,"%G - %G i\n",PetscRealPart(values[i]),-PetscImaginaryPart(values[i]));
322: } else {
323: PetscViewerASCIIPrintf(viewer,"%G\n",PetscRealPart(values[i]));
324: }
325: #else
326: PetscViewerASCIIPrintf(viewer,"%G\n",values[i]);
327: #endif
328: }
329: }
330: }
331: PetscFree(values);
332: } else {
333: PetscViewerGetFormat(viewer,&format);
334: if (format == PETSC_VIEWER_ASCII_MATLAB) {
335: /* this may be a collective operation so make sure everyone calls it */
336: PetscObjectGetName((PetscObject)xin,&name);
337: }
338: /* send values */
339: MPI_Send((void*)xarray,xin->map->n,MPIU_SCALAR,0,tag,((PetscObject)xin)->comm);
340: }
341: PetscViewerFlush(viewer);
342: VecRestoreArrayRead(xin,&xarray);
343: return(0);
344: }
348: PetscErrorCode VecView_MPI_Binary(Vec xin,PetscViewer viewer)
349: {
350: PetscErrorCode ierr;
351: PetscMPIInt rank,size,mesgsize,tag = ((PetscObject)viewer)->tag, mesglen;
352: PetscInt len,n = xin->map->n,j,tr[2];
353: int fdes;
354: MPI_Status status;
355: PetscScalar *values;
356: const PetscScalar *xarray;
357: FILE *file;
358: #if defined(PETSC_HAVE_MPIIO)
359: PetscBool isMPIIO;
360: #endif
361: PetscBool skipHeader;
362: PetscInt message_count,flowcontrolcount;
365: VecGetArrayRead(xin,&xarray);
366: PetscViewerBinaryGetDescriptor(viewer,&fdes);
367: PetscViewerBinaryGetSkipHeader(viewer,&skipHeader);
369: /* determine maximum message to arrive */
370: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
371: MPI_Comm_size(((PetscObject)xin)->comm,&size);
373: if (!skipHeader) {
374: tr[0] = VEC_FILE_CLASSID;
375: tr[1] = xin->map->N;
376: PetscViewerBinaryWrite(viewer,tr,2,PETSC_INT,PETSC_FALSE);
377: }
379: #if defined(PETSC_HAVE_MPIIO)
380: PetscViewerBinaryGetMPIIO(viewer,&isMPIIO);
381: if (!isMPIIO) {
382: #endif
383: PetscViewerFlowControlStart(viewer,&message_count,&flowcontrolcount);
384: if (!rank) {
385: PetscBinaryWrite(fdes,(void*)xarray,xin->map->n,PETSC_SCALAR,PETSC_FALSE);
387: len = 0;
388: for (j=1; j<size; j++) len = PetscMax(len,xin->map->range[j+1]-xin->map->range[j]);
389: PetscMalloc(len*sizeof(PetscScalar),&values);
390: mesgsize = PetscMPIIntCast(len);
391: /* receive and save messages */
392: for (j=1; j<size; j++) {
393: PetscViewerFlowControlStepMaster(viewer,j,message_count,flowcontrolcount);
394: MPI_Recv(values,mesgsize,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
395: MPI_Get_count(&status,MPIU_SCALAR,&mesglen);
396: n = (PetscInt)mesglen;
397: PetscBinaryWrite(fdes,values,n,PETSC_SCALAR,PETSC_TRUE);
398: }
399: PetscViewerFlowControlEndMaster(viewer,message_count);
400: PetscFree(values);
401: } else {
402: PetscViewerFlowControlStepWorker(viewer,rank,message_count);
403: mesgsize = PetscMPIIntCast(xin->map->n);
404: MPI_Send((void*)xarray,mesgsize,MPIU_SCALAR,0,tag,((PetscObject)xin)->comm);
405: PetscViewerFlowControlEndWorker(viewer,message_count);
406: }
407: #if defined(PETSC_HAVE_MPIIO)
408: } else {
409: MPI_Offset off;
410: MPI_File mfdes;
411: PetscMPIInt gsizes[1],lsizes[1],lstarts[1];
412: MPI_Datatype view;
414: gsizes[0] = PetscMPIIntCast(xin->map->N);
415: lsizes[0] = PetscMPIIntCast(n);
416: lstarts[0] = PetscMPIIntCast(xin->map->rstart);
417: MPI_Type_create_subarray(1,gsizes,lsizes,lstarts,MPI_ORDER_FORTRAN,MPIU_SCALAR,&view);
418: MPI_Type_commit(&view);
420: PetscViewerBinaryGetMPIIODescriptor(viewer,&mfdes);
421: PetscViewerBinaryGetMPIIOOffset(viewer,&off);
422: MPIU_File_write_all(mfdes,(void*)xarray,lsizes[0],MPIU_SCALAR,MPI_STATUS_IGNORE);
423: PetscViewerBinaryAddMPIIOOffset(viewer,xin->map->N*sizeof(PetscScalar));
424: MPI_Type_free(&view);
425: }
426: #endif
428: VecRestoreArrayRead(xin,&xarray);
429: if (!rank) {
430: PetscViewerBinaryGetInfoPointer(viewer,&file);
431: if (file) {
432: if (((PetscObject)xin)->prefix) {
433: PetscFPrintf(PETSC_COMM_SELF,file,"-%svecload_block_size %D\n",((PetscObject)xin)->prefix,xin->map->bs);
434: } else {
435: PetscFPrintf(PETSC_COMM_SELF,file,"-vecload_block_size %D\n",xin->map->bs);
436: }
437: }
438: }
439: return(0);
440: }
444: PetscErrorCode VecView_MPI_Draw_LG(Vec xin,PetscViewer viewer)
445: {
446: PetscDraw draw;
447: PetscBool isnull;
448: PetscErrorCode ierr;
450: #if defined(PETSC_USE_64BIT_INDICES)
452: PetscViewerDrawGetDraw(viewer,0,&draw);
453: PetscDrawIsNull(draw,&isnull);
454: if (isnull) return(0);
455: SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Not supported with 64 bit integers");
456: #else
457: PetscMPIInt size,rank;
458: int i,N = xin->map->N,*lens;
459: PetscReal *xx,*yy;
460: PetscDrawLG lg;
461: const PetscScalar *xarray;
464: PetscViewerDrawGetDraw(viewer,0,&draw);
465: PetscDrawIsNull(draw,&isnull);
466: if (isnull) return(0);
468: VecGetArrayRead(xin,&xarray);
469: PetscViewerDrawGetDrawLG(viewer,0,&lg);
470: PetscDrawCheckResizedWindow(draw);
471: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
472: MPI_Comm_size(((PetscObject)xin)->comm,&size);
473: if (!rank) {
474: PetscDrawLGReset(lg);
475: PetscMalloc(2*(N+1)*sizeof(PetscReal),&xx);
476: for (i=0; i<N; i++) {xx[i] = (PetscReal) i;}
477: yy = xx + N;
478: PetscMalloc(size*sizeof(PetscInt),&lens);
479: for (i=0; i<size; i++) {
480: lens[i] = xin->map->range[i+1] - xin->map->range[i];
481: }
482: #if !defined(PETSC_USE_COMPLEX)
483: MPI_Gatherv((void*)xarray,xin->map->n,MPIU_REAL,yy,lens,xin->map->range,MPIU_REAL,0,((PetscObject)xin)->comm);
484: #else
485: {
486: PetscReal *xr;
487: PetscMalloc((xin->map->n+1)*sizeof(PetscReal),&xr);
488: for (i=0; i<xin->map->n; i++) {
489: xr[i] = PetscRealPart(xarray[i]);
490: }
491: MPI_Gatherv(xr,xin->map->n,MPIU_REAL,yy,lens,xin->map->range,MPIU_REAL,0,((PetscObject)xin)->comm);
492: PetscFree(xr);
493: }
494: #endif
495: PetscFree(lens);
496: PetscDrawLGAddPoints(lg,N,&xx,&yy);
497: PetscFree(xx);
498: } else {
499: #if !defined(PETSC_USE_COMPLEX)
500: MPI_Gatherv((void*)xarray,xin->map->n,MPIU_REAL,0,0,0,MPIU_REAL,0,((PetscObject)xin)->comm);
501: #else
502: {
503: PetscReal *xr;
504: PetscMalloc((xin->map->n+1)*sizeof(PetscReal),&xr);
505: for (i=0; i<xin->map->n; i++) {
506: xr[i] = PetscRealPart(xarray[i]);
507: }
508: MPI_Gatherv(xr,xin->map->n,MPIU_REAL,0,0,0,MPIU_REAL,0,((PetscObject)xin)->comm);
509: PetscFree(xr);
510: }
511: #endif
512: }
513: PetscDrawLGDraw(lg);
514: PetscDrawSynchronizedFlush(draw);
515: VecRestoreArrayRead(xin,&xarray);
516: #endif
517: return(0);
518: }
522: PetscErrorCode VecView_MPI_Draw(Vec xin,PetscViewer viewer)
523: {
524: PetscErrorCode ierr;
525: PetscMPIInt rank,size,tag = ((PetscObject)viewer)->tag;
526: PetscInt i,start,end;
527: MPI_Status status;
528: PetscReal coors[4],ymin,ymax,xmin,xmax,tmp;
529: PetscDraw draw;
530: PetscBool isnull;
531: PetscDrawAxis axis;
532: const PetscScalar *xarray;
535: PetscViewerDrawGetDraw(viewer,0,&draw);
536: PetscDrawIsNull(draw,&isnull); if (isnull) return(0);
538: VecGetArrayRead(xin,&xarray);
539: PetscDrawCheckResizedWindow(draw);
540: xmin = 1.e20; xmax = -1.e20;
541: for (i=0; i<xin->map->n; i++) {
542: #if defined(PETSC_USE_COMPLEX)
543: if (PetscRealPart(xarray[i]) < xmin) xmin = PetscRealPart(xarray[i]);
544: if (PetscRealPart(xarray[i]) > xmax) xmax = PetscRealPart(xarray[i]);
545: #else
546: if (xarray[i] < xmin) xmin = xarray[i];
547: if (xarray[i] > xmax) xmax = xarray[i];
548: #endif
549: }
550: if (xmin + 1.e-10 > xmax) {
551: xmin -= 1.e-5;
552: xmax += 1.e-5;
553: }
554: MPI_Reduce(&xmin,&ymin,1,MPIU_REAL,MPIU_MIN,0,((PetscObject)xin)->comm);
555: MPI_Reduce(&xmax,&ymax,1,MPIU_REAL,MPIU_MAX,0,((PetscObject)xin)->comm);
556: MPI_Comm_size(((PetscObject)xin)->comm,&size);
557: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
558: PetscDrawAxisCreate(draw,&axis);
559: PetscLogObjectParent(draw,axis);
560: if (!rank) {
561: PetscDrawClear(draw);
562: PetscDrawFlush(draw);
563: PetscDrawAxisSetLimits(axis,0.0,(double)xin->map->N,ymin,ymax);
564: PetscDrawAxisDraw(axis);
565: PetscDrawGetCoordinates(draw,coors,coors+1,coors+2,coors+3);
566: }
567: PetscDrawAxisDestroy(&axis);
568: MPI_Bcast(coors,4,MPIU_REAL,0,((PetscObject)xin)->comm);
569: if (rank) {PetscDrawSetCoordinates(draw,coors[0],coors[1],coors[2],coors[3]);}
570: /* draw local part of vector */
571: VecGetOwnershipRange(xin,&start,&end);
572: if (rank < size-1) { /*send value to right */
573: MPI_Send((void*)&xarray[xin->map->n-1],1,MPIU_REAL,rank+1,tag,((PetscObject)xin)->comm);
574: }
575: for (i=1; i<xin->map->n; i++) {
576: #if !defined(PETSC_USE_COMPLEX)
577: PetscDrawLine(draw,(PetscReal)(i-1+start),xarray[i-1],(PetscReal)(i+start),
578: xarray[i],PETSC_DRAW_RED);
579: #else
580: PetscDrawLine(draw,(PetscReal)(i-1+start),PetscRealPart(xarray[i-1]),(PetscReal)(i+start),
581: PetscRealPart(xarray[i]),PETSC_DRAW_RED);
582: #endif
583: }
584: if (rank) { /* receive value from right */
585: MPI_Recv(&tmp,1,MPIU_REAL,rank-1,tag,((PetscObject)xin)->comm,&status);
586: #if !defined(PETSC_USE_COMPLEX)
587: PetscDrawLine(draw,(PetscReal)start-1,tmp,(PetscReal)start,xarray[0],PETSC_DRAW_RED);
588: #else
589: PetscDrawLine(draw,(PetscReal)start-1,tmp,(PetscReal)start,PetscRealPart(xarray[0]),PETSC_DRAW_RED);
590: #endif
591: }
592: PetscDrawSynchronizedFlush(draw);
593: PetscDrawPause(draw);
594: VecRestoreArrayRead(xin,&xarray);
595: return(0);
596: }
598: #if defined(PETSC_HAVE_MATLAB_ENGINE)
601: PetscErrorCode VecView_MPI_Matlab(Vec xin,PetscViewer viewer)
602: {
603: PetscErrorCode ierr;
604: PetscMPIInt rank,size,*lens;
605: PetscInt i,N = xin->map->N;
606: const PetscScalar *xarray;
607: PetscScalar *xx;
610: VecGetArrayRead(xin,&xarray);
611: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
612: MPI_Comm_size(((PetscObject)xin)->comm,&size);
613: if (!rank) {
614: PetscMalloc(N*sizeof(PetscScalar),&xx);
615: PetscMalloc(size*sizeof(PetscMPIInt),&lens);
616: for (i=0; i<size; i++) {
617: lens[i] = xin->map->range[i+1] - xin->map->range[i];
618: }
619: MPI_Gatherv((void*)xarray,xin->map->n,MPIU_SCALAR,xx,lens,xin->map->range,MPIU_SCALAR,0,((PetscObject)xin)->comm);
620: PetscFree(lens);
622: PetscObjectName((PetscObject)xin);
623: PetscViewerMatlabPutArray(viewer,N,1,xx,((PetscObject)xin)->name);
625: PetscFree(xx);
626: } else {
627: MPI_Gatherv((void*)xarray,xin->map->n,MPIU_SCALAR,0,0,0,MPIU_SCALAR,0,((PetscObject)xin)->comm);
628: }
629: VecRestoreArrayRead(xin,&xarray);
630: return(0);
631: }
632: #endif
634: #if defined(PETSC_HAVE_HDF5)
637: PetscErrorCode VecView_MPI_HDF5(Vec xin, PetscViewer viewer)
638: {
639: /* TODO: It looks like we can remove the H5Sclose(filespace) and H5Dget_space(dset_id). Why do we do this? */
640: hid_t filespace; /* file dataspace identifier */
641: hid_t chunkspace; /* chunk dataset property identifier */
642: hid_t plist_id; /* property list identifier */
643: hid_t dset_id; /* dataset identifier */
644: hid_t memspace; /* memory dataspace identifier */
645: hid_t file_id;
646: hid_t group;
647: hid_t scalartype; /* scalar type (H5T_NATIVE_FLOAT or H5T_NATIVE_DOUBLE) */
648: herr_t status;
649: PetscInt bs = xin->map->bs > 0 ? xin->map->bs : 1;
650: hsize_t dim;
651: hsize_t maxDims[4], dims[4], chunkDims[4], count[4],offset[4];
652: PetscInt timestep;
653: PetscInt low;
654: const PetscScalar *x;
655: const char *vecname;
656: PetscErrorCode ierr;
659: PetscViewerHDF5OpenGroup(viewer, &file_id, &group);
660: PetscViewerHDF5GetTimestep(viewer, ×tep);
662: /* Create the dataspace for the dataset.
663: *
664: * dims - holds the current dimensions of the dataset
665: *
666: * maxDims - holds the maximum dimensions of the dataset (unlimited
667: * for the number of time steps with the current dimensions for the
668: * other dimensions; so only additional time steps can be added).
669: *
670: * chunkDims - holds the size of a single time step (required to
671: * permit extending dataset).
672: */
673: dim = 0;
674: if (timestep >= 0) {
675: dims[dim] = timestep+1;
676: maxDims[dim] = H5S_UNLIMITED;
677: chunkDims[dim] = 1;
678: ++dim;
679: }
680: dims[dim] = PetscHDF5IntCast(xin->map->N)/bs;
681: maxDims[dim] = dims[dim];
682: chunkDims[dim] = dims[dim];
683: ++dim;
684: if (bs >= 1) {
685: dims[dim] = bs;
686: maxDims[dim] = dims[dim];
687: chunkDims[dim] = dims[dim];
688: ++dim;
689: }
690: #if defined(PETSC_USE_COMPLEX)
691: dims[dim] = 2;
692: maxDims[dim] = dims[dim];
693: chunkDims[dim] = dims[dim];
694: ++dim;
695: #endif
696: filespace = H5Screate_simple(dim, dims, maxDims);
697: if (filespace == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot H5Screate_simple()");
699: #if defined(PETSC_USE_REAL_SINGLE)
700: scalartype = H5T_NATIVE_FLOAT;
701: #elif defined(PETSC_USE_REAL___FLOAT128)
702: #error "HDF5 output with 128 bit floats not supported."
703: #else
704: scalartype = H5T_NATIVE_DOUBLE;
705: #endif
707: /* Create the dataset with default properties and close filespace */
708: PetscObjectGetName((PetscObject) xin, &vecname);
709: if (!H5Lexists(group, vecname, H5P_DEFAULT)) {
710: /* Create chunk */
711: chunkspace = H5Pcreate(H5P_DATASET_CREATE);
712: if (chunkspace == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot H5Pcreate()");
713: status = H5Pset_chunk(chunkspace, dim, chunkDims); CHKERRQ(status);
715: #if (H5_VERS_MAJOR * 10000 + H5_VERS_MINOR * 100 + H5_VERS_RELEASE >= 10800)
716: dset_id = H5Dcreate2(group, vecname, scalartype, filespace, H5P_DEFAULT, chunkspace, H5P_DEFAULT);
717: #else
718: dset_id = H5Dcreate(group, vecname, scalartype, filespace, H5P_DEFAULT);
719: #endif
720: if (dset_id == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot H5Dcreate2()");
721: status = H5Pclose(chunkspace);CHKERRQ(status);
722: } else {
723: dset_id = H5Dopen2(group, vecname, H5P_DEFAULT);
724: status = H5Dset_extent(dset_id, dims);CHKERRQ(status);
725: }
726: status = H5Sclose(filespace);CHKERRQ(status);
728: /* Each process defines a dataset and writes it to the hyperslab in the file */
729: dim = 0;
730: if (timestep >= 0) {
731: count[dim] = 1;
732: ++dim;
733: }
734: count[dim] = PetscHDF5IntCast(xin->map->n)/bs;
735: ++dim;
736: if (bs >= 1) {
737: count[dim] = bs;
738: ++dim;
739: }
740: #if defined(PETSC_USE_COMPLEX)
741: count[dim] = 2;
742: ++dim;
743: #endif
744: if (xin->map->n > 0) {
745: memspace = H5Screate_simple(dim, count, NULL);
746: if (memspace == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot H5Screate_simple()");
747: } else {
748: /* Can't create dataspace with zero for any dimension, so create null dataspace. */
749: memspace = H5Screate(H5S_NULL);
750: if (memspace == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot H5Screate()");
751: }
753: /* Select hyperslab in the file */
754: VecGetOwnershipRange(xin, &low, PETSC_NULL);
755: dim = 0;
756: if (timestep >= 0) {
757: offset[dim] = timestep;
758: ++dim;
759: }
760: offset[dim] = PetscHDF5IntCast(low/bs);
761: ++dim;
762: if (bs >= 1) {
763: offset[dim] = 0;
764: ++dim;
765: }
766: #if defined(PETSC_USE_COMPLEX)
767: offset[dim] = 0;
768: ++dim;
769: #endif
770: if (xin->map->n > 0) {
771: filespace = H5Dget_space(dset_id);
772: if (filespace == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot H5Dget_space()");
773: status = H5Sselect_hyperslab(filespace, H5S_SELECT_SET, offset, NULL, count, NULL);CHKERRQ(status);
774: } else {
775: /* Create null filespace to match null memspace. */
776: filespace = H5Screate(H5S_NULL);
777: if (filespace == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot H5Screate(H5S_NULL)");
778: }
780: /* Create property list for collective dataset write */
781: plist_id = H5Pcreate(H5P_DATASET_XFER);
782: if (plist_id == -1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot H5Pcreate()");
783: #if defined(PETSC_HAVE_H5PSET_FAPL_MPIO)
784: status = H5Pset_dxpl_mpio(plist_id, H5FD_MPIO_COLLECTIVE);CHKERRQ(status);
785: #endif
786: /* To write dataset independently use H5Pset_dxpl_mpio(plist_id, H5FD_MPIO_INDEPENDENT) */
788: VecGetArrayRead(xin, &x);
789: status = H5Dwrite(dset_id, scalartype, memspace, filespace, plist_id, x);CHKERRQ(status);
790: status = H5Fflush(file_id, H5F_SCOPE_GLOBAL);CHKERRQ(status);
791: VecRestoreArrayRead(xin, &x);
793: /* Close/release resources */
794: if (group != file_id) {
795: status = H5Gclose(group);CHKERRQ(status);
796: }
797: status = H5Pclose(plist_id);CHKERRQ(status);
798: status = H5Sclose(filespace);CHKERRQ(status);
799: status = H5Sclose(memspace);CHKERRQ(status);
800: status = H5Dclose(dset_id);CHKERRQ(status);
801: PetscInfo1(xin,"Wrote Vec object with name %s\n",vecname);
802: return(0);
803: }
804: #endif
808: PetscErrorCode VecView_MPI(Vec xin,PetscViewer viewer)
809: {
811: PetscBool iascii,isbinary,isdraw;
812: #if defined(PETSC_HAVE_MATHEMATICA)
813: PetscBool ismathematica;
814: #endif
815: #if defined(PETSC_HAVE_HDF5)
816: PetscBool ishdf5;
817: #endif
818: #if defined(PETSC_HAVE_MATLAB_ENGINE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128)
819: PetscBool ismatlab;
820: #endif
823: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
824: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);
825: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);
826: #if defined(PETSC_HAVE_MATHEMATICA)
827: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERMATHEMATICA,&ismathematica);
828: #endif
829: #if defined(PETSC_HAVE_HDF5)
830: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERHDF5,&ishdf5);
831: #endif
832: #if defined(PETSC_HAVE_MATLAB_ENGINE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128)
833: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERMATLAB,&ismatlab);
834: #endif
835: if (iascii){
836: VecView_MPI_ASCII(xin,viewer);
837: } else if (isbinary) {
838: VecView_MPI_Binary(xin,viewer);
839: } else if (isdraw) {
840: PetscViewerFormat format;
842: PetscViewerGetFormat(viewer,&format);
843: if (format == PETSC_VIEWER_DRAW_LG) {
844: VecView_MPI_Draw_LG(xin,viewer);
845: } else {
846: VecView_MPI_Draw(xin,viewer);
847: }
848: #if defined(PETSC_HAVE_MATHEMATICA)
849: } else if (ismathematica) {
850: PetscViewerMathematicaPutVector(viewer,xin);
851: #endif
852: #if defined(PETSC_HAVE_HDF5)
853: } else if (ishdf5) {
854: VecView_MPI_HDF5(xin,viewer);
855: #endif
856: #if defined(PETSC_HAVE_MATLAB_ENGINE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128)
857: } else if (ismatlab) {
858: VecView_MPI_Matlab(xin,viewer);
859: #endif
860: } else SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"Viewer type %s not supported for this object",((PetscObject)viewer)->type_name);
861: return(0);
862: }
866: PetscErrorCode VecGetSize_MPI(Vec xin,PetscInt *N)
867: {
869: *N = xin->map->N;
870: return(0);
871: }
875: PetscErrorCode VecGetValues_MPI(Vec xin,PetscInt ni,const PetscInt ix[],PetscScalar y[])
876: {
877: const PetscScalar *xx;
878: PetscInt i,tmp,start = xin->map->range[xin->stash.rank];
879: PetscErrorCode ierr;
882: VecGetArrayRead(xin,&xx);
883: for (i=0; i<ni; i++) {
884: if (xin->stash.ignorenegidx && ix[i] < 0) continue;
885: tmp = ix[i] - start;
886: #if defined(PETSC_USE_DEBUG)
887: if (tmp < 0 || tmp >= xin->map->n) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Can only get local values, trying %D",ix[i]);
888: #endif
889: y[i] = xx[tmp];
890: }
891: VecRestoreArrayRead(xin,&xx);
892: return(0);
893: }
897: PetscErrorCode VecSetValues_MPI(Vec xin,PetscInt ni,const PetscInt ix[],const PetscScalar y[],InsertMode addv)
898: {
900: PetscMPIInt rank = xin->stash.rank;
901: PetscInt *owners = xin->map->range,start = owners[rank];
902: PetscInt end = owners[rank+1],i,row;
903: PetscScalar *xx;
906: #if defined(PETSC_USE_DEBUG)
907: if (xin->stash.insertmode == INSERT_VALUES && addv == ADD_VALUES) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"You have already inserted values; you cannot now add");
908: else if (xin->stash.insertmode == ADD_VALUES && addv == INSERT_VALUES) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"You have already added values; you cannot now insert");
909: #endif
910: VecGetArray(xin,&xx);
911: xin->stash.insertmode = addv;
913: if (addv == INSERT_VALUES) {
914: for (i=0; i<ni; i++) {
915: if (xin->stash.ignorenegidx && ix[i] < 0) continue;
916: #if defined(PETSC_USE_DEBUG)
917: if (ix[i] < 0) {
918: SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D cannot be negative",ix[i]);
919: }
920: #endif
921: if ((row = ix[i]) >= start && row < end) {
922: xx[row-start] = y[i];
923: } else if (!xin->stash.donotstash) {
924: #if defined(PETSC_USE_DEBUG)
925: if (ix[i] >= xin->map->N) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D maximum %D",ix[i],xin->map->N);
926: #endif
927: VecStashValue_Private(&xin->stash,row,y[i]);
928: }
929: }
930: } else {
931: for (i=0; i<ni; i++) {
932: if (xin->stash.ignorenegidx && ix[i] < 0) continue;
933: #if defined(PETSC_USE_DEBUG)
934: if (ix[i] < 0) {
935: SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D cannot be negative",ix[i]);
936: }
937: #endif
938: if ((row = ix[i]) >= start && row < end) {
939: xx[row-start] += y[i];
940: } else if (!xin->stash.donotstash) {
941: #if defined(PETSC_USE_DEBUG)
942: if (ix[i] > xin->map->N) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D maximum %D",ix[i],xin->map->N);
943: #endif
944: VecStashValue_Private(&xin->stash,row,y[i]);
945: }
946: }
947: }
948: VecRestoreArray(xin,&xx);
949: return(0);
950: }
954: PetscErrorCode VecSetValuesBlocked_MPI(Vec xin,PetscInt ni,const PetscInt ix[],const PetscScalar yin[],InsertMode addv)
955: {
956: PetscMPIInt rank = xin->stash.rank;
957: PetscInt *owners = xin->map->range,start = owners[rank];
959: PetscInt end = owners[rank+1],i,row,bs = xin->map->bs,j;
960: PetscScalar *xx,*y = (PetscScalar*)yin;
963: VecGetArray(xin,&xx);
964: #if defined(PETSC_USE_DEBUG)
965: if (xin->stash.insertmode == INSERT_VALUES && addv == ADD_VALUES) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"You have already inserted values; you cannot now add");
966: else if (xin->stash.insertmode == ADD_VALUES && addv == INSERT_VALUES) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"You have already added values; you cannot now insert");
967: #endif
968: xin->stash.insertmode = addv;
970: if (addv == INSERT_VALUES) {
971: for (i=0; i<ni; i++) {
972: if ((row = bs*ix[i]) >= start && row < end) {
973: for (j=0; j<bs; j++) {
974: xx[row-start+j] = y[j];
975: }
976: } else if (!xin->stash.donotstash) {
977: if (ix[i] < 0) continue;
978: #if defined(PETSC_USE_DEBUG)
979: if (ix[i] >= xin->map->N) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D max %D",ix[i],xin->map->N);
980: #endif
981: VecStashValuesBlocked_Private(&xin->bstash,ix[i],y);
982: }
983: y += bs;
984: }
985: } else {
986: for (i=0; i<ni; i++) {
987: if ((row = bs*ix[i]) >= start && row < end) {
988: for (j=0; j<bs; j++) {
989: xx[row-start+j] += y[j];
990: }
991: } else if (!xin->stash.donotstash) {
992: if (ix[i] < 0) continue;
993: #if defined(PETSC_USE_DEBUG)
994: if (ix[i] > xin->map->N) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D max %D",ix[i],xin->map->N);
995: #endif
996: VecStashValuesBlocked_Private(&xin->bstash,ix[i],y);
997: }
998: y += bs;
999: }
1000: }
1001: VecRestoreArray(xin,&xx);
1002: return(0);
1003: }
1005: /*
1006: Since nsends or nreceives may be zero we add 1 in certain mallocs
1007: to make sure we never malloc an empty one.
1008: */
1011: PetscErrorCode VecAssemblyBegin_MPI(Vec xin)
1012: {
1014: PetscInt *owners = xin->map->range,*bowners,i,bs,nstash,reallocs;
1015: PetscMPIInt size;
1016: InsertMode addv;
1017: MPI_Comm comm = ((PetscObject)xin)->comm;
1020: if (xin->stash.donotstash) {
1021: return(0);
1022: }
1024: MPI_Allreduce(&xin->stash.insertmode,&addv,1,MPI_INT,MPI_BOR,comm);
1025: if (addv == (ADD_VALUES|INSERT_VALUES)) SETERRQ(comm,PETSC_ERR_ARG_NOTSAMETYPE,"Some processors inserted values while others added");
1026: xin->stash.insertmode = addv; /* in case this processor had no cache */
1028: bs = xin->map->bs;
1029: MPI_Comm_size(((PetscObject)xin)->comm,&size);
1030: if (!xin->bstash.bowners && xin->map->bs != -1) {
1031: PetscMalloc((size+1)*sizeof(PetscInt),&bowners);
1032: for (i=0; i<size+1; i++){ bowners[i] = owners[i]/bs;}
1033: xin->bstash.bowners = bowners;
1034: } else {
1035: bowners = xin->bstash.bowners;
1036: }
1037: VecStashScatterBegin_Private(&xin->stash,owners);
1038: VecStashScatterBegin_Private(&xin->bstash,bowners);
1039: VecStashGetInfo_Private(&xin->stash,&nstash,&reallocs);
1040: PetscInfo2(xin,"Stash has %D entries, uses %D mallocs.\n",nstash,reallocs);
1041: VecStashGetInfo_Private(&xin->bstash,&nstash,&reallocs);
1042: PetscInfo2(xin,"Block-Stash has %D entries, uses %D mallocs.\n",nstash,reallocs);
1044: return(0);
1045: }
1049: PetscErrorCode VecAssemblyEnd_MPI(Vec vec)
1050: {
1052: PetscInt base,i,j,*row,flg,bs;
1053: PetscMPIInt n;
1054: PetscScalar *val,*vv,*array,*xarray;
1057: if (!vec->stash.donotstash) {
1058: VecGetArray(vec,&xarray);
1059: base = vec->map->range[vec->stash.rank];
1060: bs = vec->map->bs;
1062: /* Process the stash */
1063: while (1) {
1064: VecStashScatterGetMesg_Private(&vec->stash,&n,&row,&val,&flg);
1065: if (!flg) break;
1066: if (vec->stash.insertmode == ADD_VALUES) {
1067: for (i=0; i<n; i++) { xarray[row[i] - base] += val[i]; }
1068: } else if (vec->stash.insertmode == INSERT_VALUES) {
1069: for (i=0; i<n; i++) { xarray[row[i] - base] = val[i]; }
1070: } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_CORRUPT,"Insert mode is not set correctly; corrupted vector");
1071: }
1072: VecStashScatterEnd_Private(&vec->stash);
1074: /* now process the block-stash */
1075: while (1) {
1076: VecStashScatterGetMesg_Private(&vec->bstash,&n,&row,&val,&flg);
1077: if (!flg) break;
1078: for (i=0; i<n; i++) {
1079: array = xarray+row[i]*bs-base;
1080: vv = val+i*bs;
1081: if (vec->stash.insertmode == ADD_VALUES) {
1082: for (j=0; j<bs; j++) { array[j] += vv[j];}
1083: } else if (vec->stash.insertmode == INSERT_VALUES) {
1084: for (j=0; j<bs; j++) { array[j] = vv[j]; }
1085: } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_CORRUPT,"Insert mode is not set correctly; corrupted vector");
1086: }
1087: }
1088: VecStashScatterEnd_Private(&vec->bstash);
1089: VecRestoreArray(vec,&xarray);
1090: }
1091: vec->stash.insertmode = NOT_SET_VALUES;
1092: return(0);
1093: }