Actual source code: pdvec.c
1: #define PETSCVEC_DLL
2: /*
3: Code for some of the parallel vector primatives.
4: */
5: #include ../src/vec/vec/impls/mpi/pvecimpl.h
6: #if defined(PETSC_HAVE_PNETCDF)
8: #include "pnetcdf.h"
10: #endif
14: PetscErrorCode VecDestroy_MPI(Vec v)
15: {
16: Vec_MPI *x = (Vec_MPI*)v->data;
20: #if defined(PETSC_USE_LOG)
21: PetscLogObjectState((PetscObject)v,"Length=%D",v->map->N);
22: #endif
23: PetscFree(x->array_allocated);
25: /* Destroy local representation of vector if it exists */
26: if (x->localrep) {
27: VecDestroy(x->localrep);
28: if (x->localupdate) {VecScatterDestroy(x->localupdate);}
29: }
30: /* Destroy the stashes: note the order - so that the tags are freed properly */
31: VecStashDestroy_Private(&v->bstash);
32: VecStashDestroy_Private(&v->stash);
33: PetscFree(x);
34: return(0);
35: }
39: PetscErrorCode VecView_MPI_ASCII(Vec xin,PetscViewer viewer)
40: {
41: PetscErrorCode ierr;
42: PetscInt i,work = xin->map->n,cnt,len,nLen;
43: PetscMPIInt j,n = 0,size,rank,tag = ((PetscObject)viewer)->tag;
44: MPI_Status status;
45: PetscScalar *values,*xarray;
46: const char *name;
47: PetscViewerFormat format;
50: VecGetArray(xin,&xarray);
51: /* determine maximum message to arrive */
52: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
53: MPI_Reduce(&work,&len,1,MPIU_INT,MPI_MAX,0,((PetscObject)xin)->comm);
54: MPI_Comm_size(((PetscObject)xin)->comm,&size);
56: if (!rank) {
57: PetscMalloc((len+1)*sizeof(PetscScalar),&values);
58: PetscViewerGetFormat(viewer,&format);
59: /*
60: Matlab format and ASCII format are very similar except
61: Matlab uses %18.16e format while ASCII uses %g
62: */
63: if (format == PETSC_VIEWER_ASCII_MATLAB) {
64: PetscObjectGetName((PetscObject)xin,&name);
65: PetscViewerASCIIPrintf(viewer,"%s = [\n",name);
66: for (i=0; i<xin->map->n; i++) {
67: #if defined(PETSC_USE_COMPLEX)
68: if (PetscImaginaryPart(xarray[i]) > 0.0) {
69: PetscViewerASCIIPrintf(viewer,"%18.16e + %18.16ei\n",PetscRealPart(xarray[i]),PetscImaginaryPart(xarray[i]));
70: } else if (PetscImaginaryPart(xarray[i]) < 0.0) {
71: PetscViewerASCIIPrintf(viewer,"%18.16e - %18.16ei\n",PetscRealPart(xarray[i]),-PetscImaginaryPart(xarray[i]));
72: } else {
73: PetscViewerASCIIPrintf(viewer,"%18.16e\n",PetscRealPart(xarray[i]));
74: }
75: #else
76: PetscViewerASCIIPrintf(viewer,"%18.16e\n",xarray[i]);
77: #endif
78: }
79: /* receive and print messages */
80: for (j=1; j<size; j++) {
81: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
82: MPI_Get_count(&status,MPIU_SCALAR,&n);
83: for (i=0; i<n; i++) {
84: #if defined(PETSC_USE_COMPLEX)
85: if (PetscImaginaryPart(values[i]) > 0.0) {
86: PetscViewerASCIIPrintf(viewer,"%18.16e + %18.16e i\n",PetscRealPart(values[i]),PetscImaginaryPart(values[i]));
87: } else if (PetscImaginaryPart(values[i]) < 0.0) {
88: PetscViewerASCIIPrintf(viewer,"%18.16e - %18.16e i\n",PetscRealPart(values[i]),-PetscImaginaryPart(values[i]));
89: } else {
90: PetscViewerASCIIPrintf(viewer,"%18.16e\n",PetscRealPart(values[i]));
91: }
92: #else
93: PetscViewerASCIIPrintf(viewer,"%18.16e\n",values[i]);
94: #endif
95: }
96: }
97: PetscViewerASCIIPrintf(viewer,"];\n");
99: } else if (format == PETSC_VIEWER_ASCII_SYMMODU) {
100: for (i=0; i<xin->map->n; i++) {
101: #if defined(PETSC_USE_COMPLEX)
102: PetscViewerASCIIPrintf(viewer,"%18.16e %18.16e\n",PetscRealPart(xarray[i]),PetscImaginaryPart(xarray[i]));
103: #else
104: PetscViewerASCIIPrintf(viewer,"%18.16e\n",xarray[i]);
105: #endif
106: }
107: /* receive and print messages */
108: for (j=1; j<size; j++) {
109: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
110: MPI_Get_count(&status,MPIU_SCALAR,&n);
111: for (i=0; i<n; i++) {
112: #if defined(PETSC_USE_COMPLEX)
113: PetscViewerASCIIPrintf(viewer,"%18.16e %18.16e\n",PetscRealPart(values[i]),PetscImaginaryPart(values[i]));
114: #else
115: PetscViewerASCIIPrintf(viewer,"%18.16e\n",values[i]);
116: #endif
117: }
118: }
119: } else if (format == PETSC_VIEWER_ASCII_VTK || format == PETSC_VIEWER_ASCII_VTK_CELL) {
120: /*
121: state 0: No header has been output
122: state 1: Only POINT_DATA has been output
123: state 2: Only CELL_DATA has been output
124: state 3: Output both, POINT_DATA last
125: state 4: Output both, CELL_DATA last
126: */
127: static PetscInt stateId = -1;
128: int outputState = 0;
129: PetscTruth hasState;
130: int doOutput = 0;
131: PetscInt bs, b;
133: if (stateId < 0) {
134: PetscObjectComposedDataRegister(&stateId);
135: }
136: PetscObjectComposedDataGetInt((PetscObject) viewer, stateId, outputState, hasState);
137: if (!hasState) {
138: outputState = 0;
139: }
140: PetscObjectGetName((PetscObject) xin, &name);
141: VecGetLocalSize(xin, &nLen);
142: n = PetscMPIIntCast(nLen);
143: VecGetBlockSize(xin, &bs);
144: if (format == PETSC_VIEWER_ASCII_VTK) {
145: if (outputState == 0) {
146: outputState = 1;
147: doOutput = 1;
148: } else if (outputState == 1) {
149: doOutput = 0;
150: } else if (outputState == 2) {
151: outputState = 3;
152: doOutput = 1;
153: } else if (outputState == 3) {
154: doOutput = 0;
155: } else if (outputState == 4) {
156: SETERRQ(PETSC_ERR_ARG_WRONGSTATE, "Tried to output POINT_DATA again after intervening CELL_DATA");
157: }
158: if (doOutput) {
159: PetscViewerASCIIPrintf(viewer, "POINT_DATA %d\n", xin->map->N/bs);
160: }
161: } else {
162: if (outputState == 0) {
163: outputState = 2;
164: doOutput = 1;
165: } else if (outputState == 1) {
166: outputState = 4;
167: doOutput = 1;
168: } else if (outputState == 2) {
169: doOutput = 0;
170: } else if (outputState == 3) {
171: SETERRQ(PETSC_ERR_ARG_WRONGSTATE, "Tried to output CELL_DATA again after intervening POINT_DATA");
172: } else if (outputState == 4) {
173: doOutput = 0;
174: }
175: if (doOutput) {
176: PetscViewerASCIIPrintf(viewer, "CELL_DATA %d\n", xin->map->N/bs);
177: }
178: }
179: PetscObjectComposedDataSetInt((PetscObject) viewer, stateId, outputState);
180: if (name) {
181: PetscViewerASCIIPrintf(viewer, "SCALARS %s double %d\n", name, bs);
182: } else {
183: PetscViewerASCIIPrintf(viewer, "SCALARS scalars double %d\n", bs);
184: }
185: PetscViewerASCIIPrintf(viewer, "LOOKUP_TABLE default\n");
186: for (i=0; i<n/bs; i++) {
187: for (b=0; b<bs; b++) {
188: if (b > 0) {
189: PetscViewerASCIIPrintf(viewer," ");
190: }
191: PetscViewerASCIIPrintf(viewer,"%G",PetscRealPart(xarray[i*bs+b]));
192: }
193: PetscViewerASCIIPrintf(viewer,"\n");
194: }
195: for (j=1; j<size; j++) {
196: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
197: MPI_Get_count(&status,MPIU_SCALAR,&n);
198: for (i=0; i<n/bs; i++) {
199: for (b=0; b<bs; b++) {
200: if (b > 0) {
201: PetscViewerASCIIPrintf(viewer," ");
202: }
203: PetscViewerASCIIPrintf(viewer,"%G",PetscRealPart(values[i*bs+b]));
204: }
205: PetscViewerASCIIPrintf(viewer,"\n");
206: }
207: }
208: } else if (format == PETSC_VIEWER_ASCII_VTK_COORDS) {
209: PetscInt bs, b;
211: VecGetLocalSize(xin, &nLen);
212: n = PetscMPIIntCast(nLen);
213: VecGetBlockSize(xin, &bs);
214: if ((bs < 1) || (bs > 3)) {
215: SETERRQ1(PETSC_ERR_ARG_WRONGSTATE, "VTK can only handle 3D objects, but vector dimension is %d", bs);
216: }
217: for (i=0; i<n/bs; i++) {
218: for (b=0; b<bs; b++) {
219: if (b > 0) {
220: PetscViewerASCIIPrintf(viewer," ");
221: }
222: PetscViewerASCIIPrintf(viewer,"%G",PetscRealPart(xarray[i*bs+b]));
223: }
224: for (b=bs; b<3; b++) {
225: PetscViewerASCIIPrintf(viewer," 0.0");
226: }
227: PetscViewerASCIIPrintf(viewer,"\n");
228: }
229: for (j=1; j<size; j++) {
230: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
231: MPI_Get_count(&status,MPIU_SCALAR,&n);
232: for (i=0; i<n/bs; i++) {
233: for (b=0; b<bs; b++) {
234: if (b > 0) {
235: PetscViewerASCIIPrintf(viewer," ");
236: }
237: PetscViewerASCIIPrintf(viewer,"%G",PetscRealPart(values[i*bs+b]));
238: }
239: for (b=bs; b<3; b++) {
240: PetscViewerASCIIPrintf(viewer," 0.0");
241: }
242: PetscViewerASCIIPrintf(viewer,"\n");
243: }
244: }
245: } else if (format == PETSC_VIEWER_ASCII_PCICE) {
246: PetscInt bs, b, vertexCount = 1;
248: VecGetLocalSize(xin, &nLen);
249: n = PetscMPIIntCast(nLen);
250: VecGetBlockSize(xin, &bs);
251: if ((bs < 1) || (bs > 3)) {
252: SETERRQ1(PETSC_ERR_ARG_WRONGSTATE, "PCICE can only handle up to 3D objects, but vector dimension is %d", bs);
253: }
254: PetscViewerASCIIPrintf(viewer,"%D\n", xin->map->N/bs);
255: for (i=0; i<n/bs; i++) {
256: PetscViewerASCIIPrintf(viewer,"%7D ", vertexCount++);
257: for (b=0; b<bs; b++) {
258: if (b > 0) {
259: PetscViewerASCIIPrintf(viewer," ");
260: }
261: #if !defined(PETSC_USE_COMPLEX)
262: PetscViewerASCIIPrintf(viewer,"% 12.5E",xarray[i*bs+b]);
263: #endif
264: }
265: PetscViewerASCIIPrintf(viewer,"\n");
266: }
267: for (j=1; j<size; j++) {
268: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
269: MPI_Get_count(&status,MPIU_SCALAR,&n);
270: for (i=0; i<n/bs; i++) {
271: PetscViewerASCIIPrintf(viewer,"%7D ", vertexCount++);
272: for (b=0; b<bs; b++) {
273: if (b > 0) {
274: PetscViewerASCIIPrintf(viewer," ");
275: }
276: #if !defined(PETSC_USE_COMPLEX)
277: PetscViewerASCIIPrintf(viewer,"% 12.5E",values[i*bs+b]);
278: #endif
279: }
280: PetscViewerASCIIPrintf(viewer,"\n");
281: }
282: }
283: } else if (format == PETSC_VIEWER_ASCII_PYLITH) {
284: PetscInt bs, b, vertexCount = 1;
286: VecGetLocalSize(xin, &nLen);
287: n = PetscMPIIntCast(nLen);
288: VecGetBlockSize(xin, &bs);
289: if (bs != 3) {
290: SETERRQ1(PETSC_ERR_ARG_WRONGSTATE, "PyLith can only handle 3D objects, but vector dimension is %d", bs);
291: }
292: PetscViewerASCIIPrintf(viewer,"#\n");
293: PetscViewerASCIIPrintf(viewer,"# Node X-coord Y-coord Z-coord\n");
294: PetscViewerASCIIPrintf(viewer,"#\n");
295: for (i=0; i<n/bs; i++) {
296: PetscViewerASCIIPrintf(viewer,"%7D ", vertexCount++);
297: for (b=0; b<bs; b++) {
298: if (b > 0) {
299: PetscViewerASCIIPrintf(viewer," ");
300: }
301: #if !defined(PETSC_USE_COMPLEX)
302: PetscViewerASCIIPrintf(viewer,"% 16.8E",xarray[i*bs+b]);
303: #endif
304: }
305: PetscViewerASCIIPrintf(viewer,"\n");
306: }
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: for (i=0; i<n/bs; i++) {
311: PetscViewerASCIIPrintf(viewer,"%7D ", vertexCount++);
312: for (b=0; b<bs; b++) {
313: if (b > 0) {
314: PetscViewerASCIIPrintf(viewer," ");
315: }
316: #if !defined(PETSC_USE_COMPLEX)
317: PetscViewerASCIIPrintf(viewer,"% 16.8E",values[i*bs+b]);
318: #endif
319: }
320: PetscViewerASCIIPrintf(viewer,"\n");
321: }
322: }
323: } else {
324: if (format != PETSC_VIEWER_ASCII_COMMON) {PetscViewerASCIIPrintf(viewer,"Process [%d]\n",rank);}
325: cnt = 0;
326: for (i=0; i<xin->map->n; i++) {
327: if (format == PETSC_VIEWER_ASCII_INDEX) {
328: PetscViewerASCIIPrintf(viewer,"%D: ",cnt++);
329: }
330: #if defined(PETSC_USE_COMPLEX)
331: if (PetscImaginaryPart(xarray[i]) > 0.0) {
332: PetscViewerASCIIPrintf(viewer,"%G + %G i\n",PetscRealPart(xarray[i]),PetscImaginaryPart(xarray[i]));
333: } else if (PetscImaginaryPart(xarray[i]) < 0.0) {
334: PetscViewerASCIIPrintf(viewer,"%G - %G i\n",PetscRealPart(xarray[i]),-PetscImaginaryPart(xarray[i]));
335: } else {
336: PetscViewerASCIIPrintf(viewer,"%G\n",PetscRealPart(xarray[i]));
337: }
338: #else
339: PetscViewerASCIIPrintf(viewer,"%G\n",xarray[i]);
340: #endif
341: }
342: /* receive and print messages */
343: for (j=1; j<size; j++) {
344: MPI_Recv(values,(PetscMPIInt)len,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
345: MPI_Get_count(&status,MPIU_SCALAR,&n);
346: if (format != PETSC_VIEWER_ASCII_COMMON) {
347: PetscViewerASCIIPrintf(viewer,"Process [%d]\n",j);
348: }
349: for (i=0; i<n; i++) {
350: if (format == PETSC_VIEWER_ASCII_INDEX) {
351: PetscViewerASCIIPrintf(viewer,"%D: ",cnt++);
352: }
353: #if defined(PETSC_USE_COMPLEX)
354: if (PetscImaginaryPart(values[i]) > 0.0) {
355: PetscViewerASCIIPrintf(viewer,"%G + %G i\n",PetscRealPart(values[i]),PetscImaginaryPart(values[i]));
356: } else if (PetscImaginaryPart(values[i]) < 0.0) {
357: PetscViewerASCIIPrintf(viewer,"%G - %G i\n",PetscRealPart(values[i]),-PetscImaginaryPart(values[i]));
358: } else {
359: PetscViewerASCIIPrintf(viewer,"%G\n",PetscRealPart(values[i]));
360: }
361: #else
362: PetscViewerASCIIPrintf(viewer,"%G\n",values[i]);
363: #endif
364: }
365: }
366: }
367: PetscFree(values);
368: } else {
369: /* send values */
370: MPI_Send(xarray,xin->map->n,MPIU_SCALAR,0,tag,((PetscObject)xin)->comm);
371: }
372: PetscViewerFlush(viewer);
373: VecRestoreArray(xin,&xarray);
374: return(0);
375: }
379: PetscErrorCode VecView_MPI_Binary(Vec xin,PetscViewer viewer)
380: {
382: PetscMPIInt rank,size,mesgsize,tag = ((PetscObject)viewer)->tag, mesglen;
383: PetscInt len,n = xin->map->n,j,tr[2];
384: int fdes;
385: MPI_Status status;
386: PetscScalar *values,*xarray;
387: FILE *file;
388: #if defined(PETSC_HAVE_MPIIO)
389: PetscTruth isMPIIO;
390: #endif
391: PetscInt message_count;
394: VecGetArray(xin,&xarray);
395: PetscViewerBinaryGetDescriptor(viewer,&fdes);
397: /* determine maximum message to arrive */
398: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
399: MPI_Comm_size(((PetscObject)xin)->comm,&size);
401: tr[0] = VEC_FILE_COOKIE;
402: tr[1] = xin->map->N;
403: PetscViewerBinaryWrite(viewer,tr,2,PETSC_INT,PETSC_FALSE);
405: #if defined(PETSC_HAVE_MPIIO)
406: PetscViewerBinaryGetMPIIO(viewer,&isMPIIO);
407: if (!isMPIIO) {
408: #endif
409: PetscViewerBinaryGetFlowControl(viewer,&message_count);
410: if (!rank) {
411: PetscBinaryWrite(fdes,xarray,xin->map->n,PETSC_SCALAR,PETSC_FALSE);
412:
413: len = 0;
414: for (j=1; j<size; j++) len = PetscMax(len,xin->map->range[j+1]-xin->map->range[j]);
415: PetscMalloc((len+1)*sizeof(PetscScalar),&values);
416: mesgsize = PetscMPIIntCast(len);
417: /* receive and save messages */
418: for (j=1; j<size; j++) {
419: if (j >= message_count) {
420: message_count += 256;
421: MPI_Bcast(&message_count,1,MPIU_INT,0,((PetscObject)xin)->comm);
422: }
423: MPI_Recv(values,mesgsize,MPIU_SCALAR,j,tag,((PetscObject)xin)->comm,&status);
424: MPI_Get_count(&status,MPIU_SCALAR,&mesglen);
425: n = (PetscInt)mesglen;
426: PetscBinaryWrite(fdes,values,n,PETSC_SCALAR,PETSC_FALSE);
427: }
428: message_count = 0;
429: MPI_Bcast(&message_count,1,MPIU_INT,0,((PetscObject)xin)->comm);
430: PetscFree(values);
431: } else {
432: while (1) {
433: if (rank < message_count) break;
434: MPI_Bcast(&message_count,1,MPIU_INT,0,((PetscObject)xin)->comm);
435: }
436: /* send values */
437: mesgsize = PetscMPIIntCast(xin->map->n);
438: MPI_Send(xarray,mesgsize,MPIU_SCALAR,0,tag,((PetscObject)xin)->comm);
439: while (1) {
440: if (message_count == 0) break;
441: MPI_Bcast(&message_count,1,MPIU_INT,0,((PetscObject)xin)->comm);
442: }
443: }
444: #if defined(PETSC_HAVE_MPIIO)
445: } else {
446: MPI_Offset off;
447: MPI_File mfdes;
448: PetscMPIInt gsizes[1],lsizes[1],lstarts[1];
449: MPI_Datatype view;
451: gsizes[0] = PetscMPIIntCast(xin->map->N);
452: lsizes[0] = PetscMPIIntCast(n);
453: lstarts[0] = PetscMPIIntCast(xin->map->rstart);
454: MPI_Type_create_subarray(1,gsizes,lsizes,lstarts,MPI_ORDER_FORTRAN,MPIU_SCALAR,&view);
455: MPI_Type_commit(&view);
457: PetscViewerBinaryGetMPIIODescriptor(viewer,&mfdes);
458: PetscViewerBinaryGetMPIIOOffset(viewer,&off);
459: MPIU_File_write_all(mfdes,xarray,lsizes[0],MPIU_SCALAR,MPI_STATUS_IGNORE);
460: PetscViewerBinaryAddMPIIOOffset(viewer,xin->map->N*sizeof(PetscScalar));
461: MPI_Type_free(&view);
462: }
463: #endif
465: VecRestoreArray(xin,&xarray);
466: if (!rank) {
467: PetscViewerBinaryGetInfoPointer(viewer,&file);
468: if (file && xin->map->bs > 1) {
469: if (((PetscObject)xin)->prefix) {
470: PetscFPrintf(PETSC_COMM_SELF,file,"-%svecload_block_size %D\n",((PetscObject)xin)->prefix,xin->map->bs);
471: } else {
472: PetscFPrintf(PETSC_COMM_SELF,file,"-vecload_block_size %D\n",xin->map->bs);
473: }
474: }
475: }
476: return(0);
477: }
481: PetscErrorCode VecView_MPI_Draw_LG(Vec xin,PetscViewer viewer)
482: {
483: PetscDraw draw;
484: PetscTruth isnull;
487: #if defined(PETSC_USE_64BIT_INDICES)
489: PetscViewerDrawGetDraw(viewer,0,&draw);
490: PetscDrawIsNull(draw,&isnull);
491: if (isnull) return(0);
492: SETERRQ(PETSC_ERR_SUP,"Not supported with 64 bit integers");
493: #else
494: PetscMPIInt size,rank;
495: int i,N = xin->map->N,*lens;
496: PetscReal *xx,*yy;
497: PetscDrawLG lg;
498: PetscScalar *xarray;
501: PetscViewerDrawGetDraw(viewer,0,&draw);
502: PetscDrawIsNull(draw,&isnull);
503: if (isnull) return(0);
505: VecGetArray(xin,&xarray);
506: PetscViewerDrawGetDrawLG(viewer,0,&lg);
507: PetscDrawCheckResizedWindow(draw);
508: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
509: MPI_Comm_size(((PetscObject)xin)->comm,&size);
510: if (!rank) {
511: PetscDrawLGReset(lg);
512: PetscMalloc(2*(N+1)*sizeof(PetscReal),&xx);
513: for (i=0; i<N; i++) {xx[i] = (PetscReal) i;}
514: yy = xx + N;
515: PetscMalloc(size*sizeof(PetscInt),&lens);
516: for (i=0; i<size; i++) {
517: lens[i] = xin->map->range[i+1] - xin->map->range[i];
518: }
519: #if !defined(PETSC_USE_COMPLEX)
520: MPI_Gatherv(xarray,xin->map->n,MPIU_REAL,yy,lens,xin->map->range,MPIU_REAL,0,((PetscObject)xin)->comm);
521: #else
522: {
523: PetscReal *xr;
524: PetscMalloc((xin->map->n+1)*sizeof(PetscReal),&xr);
525: for (i=0; i<xin->map->n; i++) {
526: xr[i] = PetscRealPart(xarray[i]);
527: }
528: MPI_Gatherv(xr,xin->map->n,MPIU_REAL,yy,lens,xin->map->range,MPIU_REAL,0,((PetscObject)xin)->comm);
529: PetscFree(xr);
530: }
531: #endif
532: PetscFree(lens);
533: PetscDrawLGAddPoints(lg,N,&xx,&yy);
534: PetscFree(xx);
535: } else {
536: #if !defined(PETSC_USE_COMPLEX)
537: MPI_Gatherv(xarray,xin->map->n,MPIU_REAL,0,0,0,MPIU_REAL,0,((PetscObject)xin)->comm);
538: #else
539: {
540: PetscReal *xr;
541: PetscMalloc((xin->map->n+1)*sizeof(PetscReal),&xr);
542: for (i=0; i<xin->map->n; i++) {
543: xr[i] = PetscRealPart(xarray[i]);
544: }
545: MPI_Gatherv(xr,xin->map->n,MPIU_REAL,0,0,0,MPIU_REAL,0,((PetscObject)xin)->comm);
546: PetscFree(xr);
547: }
548: #endif
549: }
550: PetscDrawLGDraw(lg);
551: PetscDrawSynchronizedFlush(draw);
552: VecRestoreArray(xin,&xarray);
553: #endif
554: return(0);
555: }
558: /* I am assuming this is Extern 'C' because it is dynamically loaded. If not, we can remove the DLLEXPORT tag */
561: PetscErrorCode VecView_MPI_Draw(Vec xin,PetscViewer viewer)
562: {
564: PetscMPIInt rank,size,tag = ((PetscObject)viewer)->tag;
565: PetscInt i,start,end;
566: MPI_Status status;
567: PetscReal coors[4],ymin,ymax,xmin,xmax,tmp;
568: PetscDraw draw;
569: PetscTruth isnull;
570: PetscDrawAxis axis;
571: PetscScalar *xarray;
574: PetscViewerDrawGetDraw(viewer,0,&draw);
575: PetscDrawIsNull(draw,&isnull); if (isnull) return(0);
577: VecGetArray(xin,&xarray);
578: PetscDrawCheckResizedWindow(draw);
579: xmin = 1.e20; xmax = -1.e20;
580: for (i=0; i<xin->map->n; i++) {
581: #if defined(PETSC_USE_COMPLEX)
582: if (PetscRealPart(xarray[i]) < xmin) xmin = PetscRealPart(xarray[i]);
583: if (PetscRealPart(xarray[i]) > xmax) xmax = PetscRealPart(xarray[i]);
584: #else
585: if (xarray[i] < xmin) xmin = xarray[i];
586: if (xarray[i] > xmax) xmax = xarray[i];
587: #endif
588: }
589: if (xmin + 1.e-10 > xmax) {
590: xmin -= 1.e-5;
591: xmax += 1.e-5;
592: }
593: MPI_Reduce(&xmin,&ymin,1,MPIU_REAL,MPI_MIN,0,((PetscObject)xin)->comm);
594: MPI_Reduce(&xmax,&ymax,1,MPIU_REAL,MPI_MAX,0,((PetscObject)xin)->comm);
595: MPI_Comm_size(((PetscObject)xin)->comm,&size);
596: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
597: PetscDrawAxisCreate(draw,&axis);
598: PetscLogObjectParent(draw,axis);
599: if (!rank) {
600: PetscDrawClear(draw);
601: PetscDrawFlush(draw);
602: PetscDrawAxisSetLimits(axis,0.0,(double)xin->map->N,ymin,ymax);
603: PetscDrawAxisDraw(axis);
604: PetscDrawGetCoordinates(draw,coors,coors+1,coors+2,coors+3);
605: }
606: PetscDrawAxisDestroy(axis);
607: MPI_Bcast(coors,4,MPIU_REAL,0,((PetscObject)xin)->comm);
608: if (rank) {PetscDrawSetCoordinates(draw,coors[0],coors[1],coors[2],coors[3]);}
609: /* draw local part of vector */
610: VecGetOwnershipRange(xin,&start,&end);
611: if (rank < size-1) { /*send value to right */
612: MPI_Send(&xarray[xin->map->n-1],1,MPIU_REAL,rank+1,tag,((PetscObject)xin)->comm);
613: }
614: for (i=1; i<xin->map->n; i++) {
615: #if !defined(PETSC_USE_COMPLEX)
616: PetscDrawLine(draw,(PetscReal)(i-1+start),xarray[i-1],(PetscReal)(i+start),
617: xarray[i],PETSC_DRAW_RED);
618: #else
619: PetscDrawLine(draw,(PetscReal)(i-1+start),PetscRealPart(xarray[i-1]),(PetscReal)(i+start),
620: PetscRealPart(xarray[i]),PETSC_DRAW_RED);
621: #endif
622: }
623: if (rank) { /* receive value from right */
624: MPI_Recv(&tmp,1,MPIU_REAL,rank-1,tag,((PetscObject)xin)->comm,&status);
625: #if !defined(PETSC_USE_COMPLEX)
626: PetscDrawLine(draw,(PetscReal)start-1,tmp,(PetscReal)start,xarray[0],PETSC_DRAW_RED);
627: #else
628: PetscDrawLine(draw,(PetscReal)start-1,tmp,(PetscReal)start,PetscRealPart(xarray[0]),PETSC_DRAW_RED);
629: #endif
630: }
631: PetscDrawSynchronizedFlush(draw);
632: PetscDrawPause(draw);
633: VecRestoreArray(xin,&xarray);
634: return(0);
635: }
638: #if defined(PETSC_HAVE_MATLAB_ENGINE)
641: PetscErrorCode VecView_MPI_Matlab(Vec xin,PetscViewer viewer)
642: {
644: PetscMPIInt rank,size,*lens;
645: PetscInt i,N = xin->map->N;
646: PetscScalar *xx,*xarray;
649: VecGetArray(xin,&xarray);
650: MPI_Comm_rank(((PetscObject)xin)->comm,&rank);
651: MPI_Comm_size(((PetscObject)xin)->comm,&size);
652: if (!rank) {
653: PetscMalloc((N+1)*sizeof(PetscScalar),&xx);
654: PetscMalloc(size*sizeof(PetscMPIInt),&lens);
655: for (i=0; i<size; i++) {
656: lens[i] = xin->map->range[i+1] - xin->map->range[i];
657: }
658: MPI_Gatherv(xarray,xin->map->n,MPIU_SCALAR,xx,lens,xin->map->range,MPIU_SCALAR,0,((PetscObject)xin)->comm);
659: PetscFree(lens);
661: PetscObjectName((PetscObject)xin);
662: PetscViewerMatlabPutArray(viewer,N,1,xx,((PetscObject)xin)->name);
664: PetscFree(xx);
665: } else {
666: MPI_Gatherv(xarray,xin->map->n,MPIU_SCALAR,0,0,0,MPIU_SCALAR,0,((PetscObject)xin)->comm);
667: }
668: VecRestoreArray(xin,&xarray);
669: return(0);
670: }
671: #endif
673: #if defined(PETSC_HAVE_PNETCDF)
676: PetscErrorCode VecView_MPI_Netcdf(Vec xin,PetscViewer v)
677: {
679: int n = xin->map->n,ncid,xdim,xdim_num=1,xin_id,xstart;
680: PetscScalar *xarray;
683: VecGetArray(xin,&xarray);
684: PetscViewerNetcdfGetID(v,&ncid);
685: if (ncid < 0) SETERRQ(PETSC_ERR_ORDER,"First call PetscViewerNetcdfOpen to create NetCDF dataset");
686: /* define dimensions */
687: ncmpi_def_dim(ncid,"PETSc_Vector_Global_Size",xin->map->N,&xdim);
688: /* define variables */
689: ncmpi_def_var(ncid,"PETSc_Vector_MPI",NC_DOUBLE,xdim_num,&xdim,&xin_id);
690: /* leave define mode */
691: ncmpi_enddef(ncid);
692: /* store the vector */
693: VecGetOwnershipRange(xin,&xstart,PETSC_NULL);
694: ncmpi_put_vara_double_all(ncid,xin_id,(const MPI_Offset*)&xstart,(const MPI_Offset*)&n,xarray);
695: VecRestoreArray(xin,&xarray);
696: return(0);
697: }
698: #endif
700: #if defined(PETSC_HAVE_HDF5)
703: PetscErrorCode VecView_MPI_HDF5(Vec xin, PetscViewer viewer)
704: {
705: hid_t filespace; /* file dataspace identifier */
706: hid_t plist_id; /* property list identifier */
707: hid_t dset_id; /* dataset identifier */
708: hid_t memspace; /* memory dataspace identifier */
709: hid_t file_id;
710: herr_t status;
711: /* PetscInt bs = xin->map->bs > 0 ? xin->map->bs : 1; */
712: hsize_t dim = 1; /* Could have dim 2 for blocked vectors */
713: hsize_t dims[2],count[2],offset[2];
714: PetscInt low;
715: PetscScalar *x;
717: const char *vecname;
721: PetscViewerHDF5GetFileId(viewer, &file_id);
723: /* Create the dataspace for the dataset */
724: dims[0] = PetscHDF5IntCast(xin->map->N);
725: #if defined(PETSC_USE_COMPLEX)
726: dim++;
727: dims[1] = 2;
728: #endif
729: filespace = H5Screate_simple(dim, dims, NULL);
730: if (filespace == -1) SETERRQ(PETSC_ERR_LIB,"Cannot H5Screate_simple()");
732: /* Create the dataset with default properties and close filespace */
733: PetscObjectGetName((PetscObject)xin,&vecname);
734: #if (H5_VERS_MAJOR * 10000 + H5_VERS_MINOR * 100 + H5_VERS_RELEASE >= 10800)
735: dset_id = H5Dcreate2(file_id, vecname, H5T_NATIVE_DOUBLE, filespace, H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
736: #else
737: dset_id = H5Dcreate(file_id, vecname, H5T_NATIVE_DOUBLE, filespace, H5P_DEFAULT);
738: #endif
739: if (dset_id == -1) SETERRQ(PETSC_ERR_LIB,"Cannot H5Dcreate2()");
740: status = H5Sclose(filespace);CHKERRQ(status);
742: /* Each process defines a dataset and writes it to the hyperslab in the file */
743: count[0] = PetscHDF5IntCast(xin->map->n);
744: #if defined(PETSC_USE_COMPLEX)
745: count[1] = 2;
746: #endif
747: memspace = H5Screate_simple(dim, count, NULL);
748: if (memspace == -1) SETERRQ(PETSC_ERR_LIB,"Cannot H5Screate_simple()");
750: /* Select hyperslab in the file */
751: VecGetOwnershipRange(xin, &low, PETSC_NULL);
752: offset[0] = PetscHDF5IntCast(low);
753: #if defined(PETSC_USE_COMPLEX)
754: offset[1] = 0;
755: #endif
756: filespace = H5Dget_space(dset_id);
757: if (filespace == -1) SETERRQ(PETSC_ERR_LIB,"Cannot H5Dget_space()");
758: status = H5Sselect_hyperslab(filespace, H5S_SELECT_SET, offset, NULL, count, NULL);CHKERRQ(status);
760: /* Create property list for collective dataset write */
761: plist_id = H5Pcreate(H5P_DATASET_XFER);
762: if (plist_id == -1) SETERRQ(PETSC_ERR_LIB,"Cannot H5Pcreate()");
763: #if defined(PETSC_HAVE_H5PSET_FAPL_MPIO)
764: status = H5Pset_dxpl_mpio(plist_id, H5FD_MPIO_COLLECTIVE);CHKERRQ(status);
765: #endif
766: /* To write dataset independently use H5Pset_dxpl_mpio(plist_id, H5FD_MPIO_INDEPENDENT) */
768: VecGetArray(xin, &x);
769: status = H5Dwrite(dset_id, H5T_NATIVE_DOUBLE, memspace, filespace, plist_id, x);CHKERRQ(status);
770: status = H5Fflush(file_id, H5F_SCOPE_GLOBAL);CHKERRQ(status);
771: VecRestoreArray(xin, &x);
773: /* Close/release resources */
774: status = H5Pclose(plist_id);CHKERRQ(status);
775: status = H5Sclose(filespace);CHKERRQ(status);
776: status = H5Sclose(memspace);CHKERRQ(status);
777: status = H5Dclose(dset_id);CHKERRQ(status);
778: return(0);
779: }
780: #endif
784: PetscErrorCode VecView_MPI(Vec xin,PetscViewer viewer)
785: {
787: PetscTruth iascii,isbinary,isdraw;
788: #if defined(PETSC_HAVE_MATHEMATICA)
789: PetscTruth ismathematica;
790: #endif
791: #if defined(PETSC_HAVE_NETCDF)
792: PetscTruth isnetcdf;
793: #endif
794: #if defined(PETSC_HAVE_HDF5)
795: PetscTruth ishdf5;
796: #endif
797: #if defined(PETSC_HAVE_MATLAB_ENGINE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_SCALAR_SINGLE) && !defined(PETSC_USE_SCALAR_MAT_SINGLE)
798: PetscTruth ismatlab;
799: #endif
802: PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);
803: PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_BINARY,&isbinary);
804: PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_DRAW,&isdraw);
805: #if defined(PETSC_HAVE_MATHEMATICA)
806: PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_MATHEMATICA,&ismathematica);
807: #endif
808: #if defined(PETSC_HAVE_NETCDF)
809: PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_NETCDF,&isnetcdf);
810: #endif
811: #if defined(PETSC_HAVE_HDF5)
812: PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_HDF5,&ishdf5);
813: #endif
814: #if defined(PETSC_HAVE_MATLAB_ENGINE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_SCALAR_SINGLE) && !defined(PETSC_USE_SCALAR_MAT_SINGLE)
815: PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_MATLAB,&ismatlab);
816: #endif
817: if (iascii){
818: VecView_MPI_ASCII(xin,viewer);
819: } else if (isbinary) {
820: VecView_MPI_Binary(xin,viewer);
821: } else if (isdraw) {
822: PetscViewerFormat format;
824: PetscViewerGetFormat(viewer,&format);
825: if (format == PETSC_VIEWER_DRAW_LG) {
826: VecView_MPI_Draw_LG(xin,viewer);
827: } else {
828: VecView_MPI_Draw(xin,viewer);
829: }
830: #if defined(PETSC_HAVE_MATHEMATICA)
831: } else if (ismathematica) {
832: PetscViewerMathematicaPutVector(viewer,xin);
833: #endif
834: #if defined(PETSC_HAVE_PNETCDF)
835: } else if (isnetcdf) {
836: VecView_MPI_Netcdf(xin,viewer);
837: #endif
838: #if defined(PETSC_HAVE_HDF5)
839: } else if (ishdf5) {
840: VecView_MPI_HDF5(xin,viewer);
841: #endif
842: #if defined(PETSC_HAVE_MATLAB_ENGINE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_SCALAR_SINGLE) && !defined(PETSC_USE_SCALAR_MAT_SINGLE)
843: } else if (ismatlab) {
844: VecView_MPI_Matlab(xin,viewer);
845: #endif
846: } else {
847: SETERRQ1(PETSC_ERR_SUP,"Viewer type %s not supported for this object",((PetscObject)viewer)->type_name);
848: }
849: return(0);
850: }
854: PetscErrorCode VecGetSize_MPI(Vec xin,PetscInt *N)
855: {
857: *N = xin->map->N;
858: return(0);
859: }
863: PetscErrorCode VecGetValues_MPI(Vec xin,PetscInt ni,const PetscInt ix[],PetscScalar y[])
864: {
865: Vec_MPI *x = (Vec_MPI *)xin->data;
866: PetscScalar *xx = x->array;
867: PetscInt i,tmp,start = xin->map->range[xin->stash.rank];
870: for (i=0; i<ni; i++) {
871: if (xin->stash.ignorenegidx && ix[i] < 0) continue;
872: tmp = ix[i] - start;
873: #if defined(PETSC_USE_DEBUG)
874: if (tmp < 0 || tmp >= xin->map->n) SETERRQ1(PETSC_ERR_ARG_OUTOFRANGE,"Can only get local values, trying %D",ix[i]);
875: #endif
876: y[i] = xx[tmp];
877: }
878: return(0);
879: }
883: PetscErrorCode VecSetValues_MPI(Vec xin,PetscInt ni,const PetscInt ix[],const PetscScalar y[],InsertMode addv)
884: {
886: PetscMPIInt rank = xin->stash.rank;
887: PetscInt *owners = xin->map->range,start = owners[rank];
888: PetscInt end = owners[rank+1],i,row;
889: PetscScalar *xx;
892: #if defined(PETSC_USE_DEBUG)
893: if (xin->stash.insertmode == INSERT_VALUES && addv == ADD_VALUES) {
894: SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"You have already inserted values; you cannot now add");
895: } else if (xin->stash.insertmode == ADD_VALUES && addv == INSERT_VALUES) {
896: SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"You have already added values; you cannot now insert");
897: }
898: #endif
899: VecGetArray(xin,&xx);
900: xin->stash.insertmode = addv;
902: if (addv == INSERT_VALUES) {
903: for (i=0; i<ni; i++) {
904: if (xin->stash.ignorenegidx && ix[i] < 0) continue;
905: #if defined(PETSC_USE_DEBUG)
906: if (ix[i] < 0) {
907: SETERRQ1(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D cannot be negative",ix[i]);
908: }
909: #endif
910: if ((row = ix[i]) >= start && row < end) {
911: xx[row-start] = y[i];
912: } else if (!xin->stash.donotstash) {
913: #if defined(PETSC_USE_DEBUG)
914: if (ix[i] >= xin->map->N) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D maximum %D",ix[i],xin->map->N);
915: #endif
916: VecStashValue_Private(&xin->stash,row,y[i]);
917: }
918: }
919: } else {
920: for (i=0; i<ni; i++) {
921: if (xin->stash.ignorenegidx && ix[i] < 0) continue;
922: #if defined(PETSC_USE_DEBUG)
923: if (ix[i] < 0) {
924: SETERRQ1(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D cannot be negative",ix[i]);
925: }
926: #endif
927: if ((row = ix[i]) >= start && row < end) {
928: xx[row-start] += y[i];
929: } else if (!xin->stash.donotstash) {
930: #if defined(PETSC_USE_DEBUG)
931: if (ix[i] > xin->map->N) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D maximum %D",ix[i],xin->map->N);
932: #endif
933: VecStashValue_Private(&xin->stash,row,y[i]);
934: }
935: }
936: }
937: VecRestoreArray(xin,&xx);
938: return(0);
939: }
943: PetscErrorCode VecSetValuesBlocked_MPI(Vec xin,PetscInt ni,const PetscInt ix[],const PetscScalar yin[],InsertMode addv)
944: {
945: PetscMPIInt rank = xin->stash.rank;
946: PetscInt *owners = xin->map->range,start = owners[rank];
948: PetscInt end = owners[rank+1],i,row,bs = xin->map->bs,j;
949: PetscScalar *xx,*y = (PetscScalar*)yin;
952: VecGetArray(xin,&xx);
953: #if defined(PETSC_USE_DEBUG)
954: if (xin->stash.insertmode == INSERT_VALUES && addv == ADD_VALUES) {
955: SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"You have already inserted values; you cannot now add");
956: }
957: else if (xin->stash.insertmode == ADD_VALUES && addv == INSERT_VALUES) {
958: SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"You have already added values; you cannot now insert");
959: }
960: #endif
961: xin->stash.insertmode = addv;
963: if (addv == INSERT_VALUES) {
964: for (i=0; i<ni; i++) {
965: if ((row = bs*ix[i]) >= start && row < end) {
966: for (j=0; j<bs; j++) {
967: xx[row-start+j] = y[j];
968: }
969: } else if (!xin->stash.donotstash) {
970: if (ix[i] < 0) continue;
971: #if defined(PETSC_USE_DEBUG)
972: if (ix[i] >= xin->map->N) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D max %D",ix[i],xin->map->N);
973: #endif
974: VecStashValuesBlocked_Private(&xin->bstash,ix[i],y);
975: }
976: y += bs;
977: }
978: } else {
979: for (i=0; i<ni; i++) {
980: if ((row = bs*ix[i]) >= start && row < end) {
981: for (j=0; j<bs; j++) {
982: xx[row-start+j] += y[j];
983: }
984: } else if (!xin->stash.donotstash) {
985: if (ix[i] < 0) continue;
986: #if defined(PETSC_USE_DEBUG)
987: if (ix[i] > xin->map->N) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D max %D",ix[i],xin->map->N);
988: #endif
989: VecStashValuesBlocked_Private(&xin->bstash,ix[i],y);
990: }
991: y += bs;
992: }
993: }
994: VecRestoreArray(xin,&xx);
995: return(0);
996: }
998: /*
999: Since nsends or nreceives may be zero we add 1 in certain mallocs
1000: to make sure we never malloc an empty one.
1001: */
1004: PetscErrorCode VecAssemblyBegin_MPI(Vec xin)
1005: {
1007: PetscInt *owners = xin->map->range,*bowners,i,bs,nstash,reallocs;
1008: PetscMPIInt size;
1009: InsertMode addv;
1010: MPI_Comm comm = ((PetscObject)xin)->comm;
1013: if (xin->stash.donotstash) {
1014: return(0);
1015: }
1017: MPI_Allreduce(&xin->stash.insertmode,&addv,1,MPI_INT,MPI_BOR,comm);
1018: if (addv == (ADD_VALUES|INSERT_VALUES)) {
1019: SETERRQ(PETSC_ERR_ARG_NOTSAMETYPE,"Some processors inserted values while others added");
1020: }
1021: xin->stash.insertmode = addv; /* in case this processor had no cache */
1022:
1023: bs = xin->map->bs;
1024: MPI_Comm_size(((PetscObject)xin)->comm,&size);
1025: if (!xin->bstash.bowners && xin->map->bs != -1) {
1026: PetscMalloc((size+1)*sizeof(PetscInt),&bowners);
1027: for (i=0; i<size+1; i++){ bowners[i] = owners[i]/bs;}
1028: xin->bstash.bowners = bowners;
1029: } else {
1030: bowners = xin->bstash.bowners;
1031: }
1032: VecStashScatterBegin_Private(&xin->stash,owners);
1033: VecStashScatterBegin_Private(&xin->bstash,bowners);
1034: VecStashGetInfo_Private(&xin->stash,&nstash,&reallocs);
1035: PetscInfo2(xin,"Stash has %D entries, uses %D mallocs.\n",nstash,reallocs);
1036: VecStashGetInfo_Private(&xin->bstash,&nstash,&reallocs);
1037: PetscInfo2(xin,"Block-Stash has %D entries, uses %D mallocs.\n",nstash,reallocs);
1039: return(0);
1040: }
1044: PetscErrorCode VecAssemblyEnd_MPI(Vec vec)
1045: {
1047: PetscInt base,i,j,*row,flg,bs;
1048: PetscMPIInt n;
1049: PetscScalar *val,*vv,*array,*xarray;
1052: if (!vec->stash.donotstash) {
1053: VecGetArray(vec,&xarray);
1054: base = vec->map->range[vec->stash.rank];
1055: bs = vec->map->bs;
1057: /* Process the stash */
1058: while (1) {
1059: VecStashScatterGetMesg_Private(&vec->stash,&n,&row,&val,&flg);
1060: if (!flg) break;
1061: if (vec->stash.insertmode == ADD_VALUES) {
1062: for (i=0; i<n; i++) { xarray[row[i] - base] += val[i]; }
1063: } else if (vec->stash.insertmode == INSERT_VALUES) {
1064: for (i=0; i<n; i++) { xarray[row[i] - base] = val[i]; }
1065: } else {
1066: SETERRQ(PETSC_ERR_ARG_CORRUPT,"Insert mode is not set correctly; corrupted vector");
1067: }
1068: }
1069: VecStashScatterEnd_Private(&vec->stash);
1071: /* now process the block-stash */
1072: while (1) {
1073: VecStashScatterGetMesg_Private(&vec->bstash,&n,&row,&val,&flg);
1074: if (!flg) break;
1075: for (i=0; i<n; i++) {
1076: array = xarray+row[i]*bs-base;
1077: vv = val+i*bs;
1078: if (vec->stash.insertmode == ADD_VALUES) {
1079: for (j=0; j<bs; j++) { array[j] += vv[j];}
1080: } else if (vec->stash.insertmode == INSERT_VALUES) {
1081: for (j=0; j<bs; j++) { array[j] = vv[j]; }
1082: } else {
1083: SETERRQ(PETSC_ERR_ARG_CORRUPT,"Insert mode is not set correctly; corrupted vector");
1084: }
1085: }
1086: }
1087: VecStashScatterEnd_Private(&vec->bstash);
1088: VecRestoreArray(vec,&xarray);
1089: }
1090: vec->stash.insertmode = NOT_SET_VALUES;
1091: return(0);
1092: }