2: #include <petsc/private/matimpl.h> 4: #define DEFAULT_STASH_SIZE 10000 6: static PetscErrorCode MatStashScatterBegin_Ref(Mat,MatStash*,PetscInt*);
7: static PetscErrorCode MatStashScatterGetMesg_Ref(MatStash*,PetscMPIInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt*);
8: static PetscErrorCode MatStashScatterEnd_Ref(MatStash*);
9: #if !defined(PETSC_HAVE_MPIUNI)
10: static PetscErrorCode MatStashScatterBegin_BTS(Mat,MatStash*,PetscInt*);
11: static PetscErrorCode MatStashScatterGetMesg_BTS(MatStash*,PetscMPIInt*,PetscInt**,PetscInt**,PetscScalar**,PetscInt*);
12: static PetscErrorCode MatStashScatterEnd_BTS(MatStash*);
13: static PetscErrorCode MatStashScatterDestroy_BTS(MatStash*);
14: #endif
16: /*
17: MatStashCreate_Private - Creates a stash,currently used for all the parallel
18: matrix implementations. The stash is where elements of a matrix destined
19: to be stored on other processors are kept until matrix assembly is done.
21: This is a simple minded stash. Simply adds entries to end of stash.
23: Input Parameters:
24: comm - communicator, required for scatters.
25: bs - stash block size. used when stashing blocks of values
27: Output Parameters:
28: stash - the newly created stash
29: */
30: PetscErrorCode MatStashCreate_Private(MPI_Comm comm,PetscInt bs,MatStash *stash) 31: {
33: PetscInt max,*opt,nopt,i;
34: PetscBool flg;
37: /* Require 2 tags,get the second using PetscCommGetNewTag() */
38: stash->comm = comm;
40: PetscCommGetNewTag(stash->comm,&stash->tag1);
41: PetscCommGetNewTag(stash->comm,&stash->tag2);
42: MPI_Comm_size(stash->comm,&stash->size);
43: MPI_Comm_rank(stash->comm,&stash->rank);
44: PetscMalloc1(2*stash->size,&stash->flg_v);
45: for (i=0; i<2*stash->size; i++) stash->flg_v[i] = -1;
48: nopt = stash->size;
49: PetscMalloc1(nopt,&opt);
50: PetscOptionsGetIntArray(NULL,NULL,"-matstash_initial_size",opt,&nopt,&flg);
51: if (flg) {
52: if (nopt == 1) max = opt[0];
53: else if (nopt == stash->size) max = opt[stash->rank];
54: else if (stash->rank < nopt) max = opt[stash->rank];
55: else max = 0; /* Use default */
56: stash->umax = max;
57: } else {
58: stash->umax = 0;
59: }
60: PetscFree(opt);
61: if (bs <= 0) bs = 1;
63: stash->bs = bs;
64: stash->nmax = 0;
65: stash->oldnmax = 0;
66: stash->n = 0;
67: stash->reallocs = -1;
68: stash->space_head = 0;
69: stash->space = 0;
71: stash->send_waits = 0;
72: stash->recv_waits = 0;
73: stash->send_status = 0;
74: stash->nsends = 0;
75: stash->nrecvs = 0;
76: stash->svalues = 0;
77: stash->rvalues = 0;
78: stash->rindices = 0;
79: stash->nprocessed = 0;
80: stash->reproduce = PETSC_FALSE;
81: stash->blocktype = MPI_DATATYPE_NULL;
83: PetscOptionsGetBool(NULL,NULL,"-matstash_reproduce",&stash->reproduce,NULL);
84: #if !defined(PETSC_HAVE_MPIUNI)
85: PetscOptionsGetBool(NULL,NULL,"-matstash_legacy",&flg,NULL);
86: if (!flg) {
87: stash->ScatterBegin = MatStashScatterBegin_BTS;
88: stash->ScatterGetMesg = MatStashScatterGetMesg_BTS;
89: stash->ScatterEnd = MatStashScatterEnd_BTS;
90: stash->ScatterDestroy = MatStashScatterDestroy_BTS;
91: } else {
92: #endif
93: stash->ScatterBegin = MatStashScatterBegin_Ref;
94: stash->ScatterGetMesg = MatStashScatterGetMesg_Ref;
95: stash->ScatterEnd = MatStashScatterEnd_Ref;
96: stash->ScatterDestroy = NULL;
97: #if !defined(PETSC_HAVE_MPIUNI)
98: }
99: #endif
100: return(0);
101: }
103: /*
104: MatStashDestroy_Private - Destroy the stash
105: */
106: PetscErrorCode MatStashDestroy_Private(MatStash *stash)107: {
111: PetscMatStashSpaceDestroy(&stash->space_head);
112: if (stash->ScatterDestroy) {(*stash->ScatterDestroy)(stash);}
114: stash->space = 0;
116: PetscFree(stash->flg_v);
117: return(0);
118: }
120: /*
121: MatStashScatterEnd_Private - This is called as the final stage of
122: scatter. The final stages of message passing is done here, and
123: all the memory used for message passing is cleaned up. This
124: routine also resets the stash, and deallocates the memory used
125: for the stash. It also keeps track of the current memory usage
126: so that the same value can be used the next time through.
127: */
128: PetscErrorCode MatStashScatterEnd_Private(MatStash *stash)129: {
133: (*stash->ScatterEnd)(stash);
134: return(0);
135: }
137: static PetscErrorCode MatStashScatterEnd_Ref(MatStash *stash)138: {
140: PetscInt nsends=stash->nsends,bs2,oldnmax,i;
141: MPI_Status *send_status;
144: for (i=0; i<2*stash->size; i++) stash->flg_v[i] = -1;
145: /* wait on sends */
146: if (nsends) {
147: PetscMalloc1(2*nsends,&send_status);
148: MPI_Waitall(2*nsends,stash->send_waits,send_status);
149: PetscFree(send_status);
150: }
152: /* Now update nmaxold to be app 10% more than max n used, this way the
153: wastage of space is reduced the next time this stash is used.
154: Also update the oldmax, only if it increases */
155: if (stash->n) {
156: bs2 = stash->bs*stash->bs;
157: oldnmax = ((int)(stash->n * 1.1) + 5)*bs2;
158: if (oldnmax > stash->oldnmax) stash->oldnmax = oldnmax;
159: }
161: stash->nmax = 0;
162: stash->n = 0;
163: stash->reallocs = -1;
164: stash->nprocessed = 0;
166: PetscMatStashSpaceDestroy(&stash->space_head);
168: stash->space = 0;
170: PetscFree(stash->send_waits);
171: PetscFree(stash->recv_waits);
172: PetscFree2(stash->svalues,stash->sindices);
173: PetscFree(stash->rvalues[0]);
174: PetscFree(stash->rvalues);
175: PetscFree(stash->rindices[0]);
176: PetscFree(stash->rindices);
177: return(0);
178: }
180: /*
181: MatStashGetInfo_Private - Gets the relavant statistics of the stash
183: Input Parameters:
184: stash - the stash
185: nstash - the size of the stash. Indicates the number of values stored.
186: reallocs - the number of additional mallocs incurred.
188: */
189: PetscErrorCode MatStashGetInfo_Private(MatStash *stash,PetscInt *nstash,PetscInt *reallocs)190: {
191: PetscInt bs2 = stash->bs*stash->bs;
194: if (nstash) *nstash = stash->n*bs2;
195: if (reallocs) {
196: if (stash->reallocs < 0) *reallocs = 0;
197: else *reallocs = stash->reallocs;
198: }
199: return(0);
200: }
202: /*
203: MatStashSetInitialSize_Private - Sets the initial size of the stash
205: Input Parameters:
206: stash - the stash
207: max - the value that is used as the max size of the stash.
208: this value is used while allocating memory.
209: */
210: PetscErrorCode MatStashSetInitialSize_Private(MatStash *stash,PetscInt max)211: {
213: stash->umax = max;
214: return(0);
215: }
217: /* MatStashExpand_Private - Expand the stash. This function is called
218: when the space in the stash is not sufficient to add the new values
219: being inserted into the stash.
221: Input Parameters:
222: stash - the stash
223: incr - the minimum increase requested
225: Notes:
226: This routine doubles the currently used memory.
227: */
228: static PetscErrorCode MatStashExpand_Private(MatStash *stash,PetscInt incr)229: {
231: PetscInt newnmax,bs2= stash->bs*stash->bs;
234: /* allocate a larger stash */
235: if (!stash->oldnmax && !stash->nmax) { /* new stash */
236: if (stash->umax) newnmax = stash->umax/bs2;
237: else newnmax = DEFAULT_STASH_SIZE/bs2;
238: } else if (!stash->nmax) { /* resuing stash */
239: if (stash->umax > stash->oldnmax) newnmax = stash->umax/bs2;
240: else newnmax = stash->oldnmax/bs2;
241: } else newnmax = stash->nmax*2;
242: if (newnmax < (stash->nmax + incr)) newnmax += 2*incr;
244: /* Get a MatStashSpace and attach it to stash */
245: PetscMatStashSpaceGet(bs2,newnmax,&stash->space);
246: if (!stash->space_head) { /* new stash or resuing stash->oldnmax */
247: stash->space_head = stash->space;
248: }
250: stash->reallocs++;
251: stash->nmax = newnmax;
252: return(0);
253: }
254: /*
255: MatStashValuesRow_Private - inserts values into the stash. This function
256: expects the values to be roworiented. Multiple columns belong to the same row
257: can be inserted with a single call to this function.
259: Input Parameters:
260: stash - the stash
261: row - the global row correspoiding to the values
262: n - the number of elements inserted. All elements belong to the above row.
263: idxn - the global column indices corresponding to each of the values.
264: values - the values inserted
265: */
266: PetscErrorCode MatStashValuesRow_Private(MatStash *stash,PetscInt row,PetscInt n,const PetscInt idxn[],const PetscScalar values[],PetscBool ignorezeroentries)267: {
268: PetscErrorCode ierr;
269: PetscInt i,k,cnt = 0;
270: PetscMatStashSpace space=stash->space;
273: /* Check and see if we have sufficient memory */
274: if (!space || space->local_remaining < n) {
275: MatStashExpand_Private(stash,n);
276: }
277: space = stash->space;
278: k = space->local_used;
279: for (i=0; i<n; i++) {
280: if (ignorezeroentries && (values[i] == 0.0)) continue;
281: space->idx[k] = row;
282: space->idy[k] = idxn[i];
283: space->val[k] = values[i];
284: k++;
285: cnt++;
286: }
287: stash->n += cnt;
288: space->local_used += cnt;
289: space->local_remaining -= cnt;
290: return(0);
291: }
293: /*
294: MatStashValuesCol_Private - inserts values into the stash. This function
295: expects the values to be columnoriented. Multiple columns belong to the same row
296: can be inserted with a single call to this function.
298: Input Parameters:
299: stash - the stash
300: row - the global row correspoiding to the values
301: n - the number of elements inserted. All elements belong to the above row.
302: idxn - the global column indices corresponding to each of the values.
303: values - the values inserted
304: stepval - the consecutive values are sepated by a distance of stepval.
305: this happens because the input is columnoriented.
306: */
307: PetscErrorCode MatStashValuesCol_Private(MatStash *stash,PetscInt row,PetscInt n,const PetscInt idxn[],const PetscScalar values[],PetscInt stepval,PetscBool ignorezeroentries)308: {
309: PetscErrorCode ierr;
310: PetscInt i,k,cnt = 0;
311: PetscMatStashSpace space=stash->space;
314: /* Check and see if we have sufficient memory */
315: if (!space || space->local_remaining < n) {
316: MatStashExpand_Private(stash,n);
317: }
318: space = stash->space;
319: k = space->local_used;
320: for (i=0; i<n; i++) {
321: if (ignorezeroentries && (values[i*stepval] == 0.0)) continue;
322: space->idx[k] = row;
323: space->idy[k] = idxn[i];
324: space->val[k] = values[i*stepval];
325: k++;
326: cnt++;
327: }
328: stash->n += cnt;
329: space->local_used += cnt;
330: space->local_remaining -= cnt;
331: return(0);
332: }
334: /*
335: MatStashValuesRowBlocked_Private - inserts blocks of values into the stash.
336: This function expects the values to be roworiented. Multiple columns belong
337: to the same block-row can be inserted with a single call to this function.
338: This function extracts the sub-block of values based on the dimensions of
339: the original input block, and the row,col values corresponding to the blocks.
341: Input Parameters:
342: stash - the stash
343: row - the global block-row correspoiding to the values
344: n - the number of elements inserted. All elements belong to the above row.
345: idxn - the global block-column indices corresponding to each of the blocks of
346: values. Each block is of size bs*bs.
347: values - the values inserted
348: rmax - the number of block-rows in the original block.
349: cmax - the number of block-columsn on the original block.
350: idx - the index of the current block-row in the original block.
351: */
352: PetscErrorCode MatStashValuesRowBlocked_Private(MatStash *stash,PetscInt row,PetscInt n,const PetscInt idxn[],const PetscScalar values[],PetscInt rmax,PetscInt cmax,PetscInt idx)353: {
354: PetscErrorCode ierr;
355: PetscInt i,j,k,bs2,bs=stash->bs,l;
356: const PetscScalar *vals;
357: PetscScalar *array;
358: PetscMatStashSpace space=stash->space;
361: if (!space || space->local_remaining < n) {
362: MatStashExpand_Private(stash,n);
363: }
364: space = stash->space;
365: l = space->local_used;
366: bs2 = bs*bs;
367: for (i=0; i<n; i++) {
368: space->idx[l] = row;
369: space->idy[l] = idxn[i];
370: /* Now copy over the block of values. Store the values column oriented.
371: This enables inserting multiple blocks belonging to a row with a single
372: funtion call */
373: array = space->val + bs2*l;
374: vals = values + idx*bs2*n + bs*i;
375: for (j=0; j<bs; j++) {
376: for (k=0; k<bs; k++) array[k*bs] = vals[k];
377: array++;
378: vals += cmax*bs;
379: }
380: l++;
381: }
382: stash->n += n;
383: space->local_used += n;
384: space->local_remaining -= n;
385: return(0);
386: }
388: /*
389: MatStashValuesColBlocked_Private - inserts blocks of values into the stash.
390: This function expects the values to be roworiented. Multiple columns belong
391: to the same block-row can be inserted with a single call to this function.
392: This function extracts the sub-block of values based on the dimensions of
393: the original input block, and the row,col values corresponding to the blocks.
395: Input Parameters:
396: stash - the stash
397: row - the global block-row correspoiding to the values
398: n - the number of elements inserted. All elements belong to the above row.
399: idxn - the global block-column indices corresponding to each of the blocks of
400: values. Each block is of size bs*bs.
401: values - the values inserted
402: rmax - the number of block-rows in the original block.
403: cmax - the number of block-columsn on the original block.
404: idx - the index of the current block-row in the original block.
405: */
406: PetscErrorCode MatStashValuesColBlocked_Private(MatStash *stash,PetscInt row,PetscInt n,const PetscInt idxn[],const PetscScalar values[],PetscInt rmax,PetscInt cmax,PetscInt idx)407: {
408: PetscErrorCode ierr;
409: PetscInt i,j,k,bs2,bs=stash->bs,l;
410: const PetscScalar *vals;
411: PetscScalar *array;
412: PetscMatStashSpace space=stash->space;
415: if (!space || space->local_remaining < n) {
416: MatStashExpand_Private(stash,n);
417: }
418: space = stash->space;
419: l = space->local_used;
420: bs2 = bs*bs;
421: for (i=0; i<n; i++) {
422: space->idx[l] = row;
423: space->idy[l] = idxn[i];
424: /* Now copy over the block of values. Store the values column oriented.
425: This enables inserting multiple blocks belonging to a row with a single
426: funtion call */
427: array = space->val + bs2*l;
428: vals = values + idx*bs2*n + bs*i;
429: for (j=0; j<bs; j++) {
430: for (k=0; k<bs; k++) array[k] = vals[k];
431: array += bs;
432: vals += rmax*bs;
433: }
434: l++;
435: }
436: stash->n += n;
437: space->local_used += n;
438: space->local_remaining -= n;
439: return(0);
440: }
441: /*
442: MatStashScatterBegin_Private - Initiates the transfer of values to the
443: correct owners. This function goes through the stash, and check the
444: owners of each stashed value, and sends the values off to the owner
445: processors.
447: Input Parameters:
448: stash - the stash
449: owners - an array of size 'no-of-procs' which gives the ownership range
450: for each node.
452: Notes:
453: The 'owners' array in the cased of the blocked-stash has the
454: ranges specified blocked global indices, and for the regular stash in
455: the proper global indices.
456: */
457: PetscErrorCode MatStashScatterBegin_Private(Mat mat,MatStash *stash,PetscInt *owners)458: {
462: (*stash->ScatterBegin)(mat,stash,owners);
463: return(0);
464: }
466: static PetscErrorCode MatStashScatterBegin_Ref(Mat mat,MatStash *stash,PetscInt *owners)467: {
468: PetscInt *owner,*startv,*starti,tag1=stash->tag1,tag2=stash->tag2,bs2;
469: PetscInt size=stash->size,nsends;
470: PetscErrorCode ierr;
471: PetscInt count,*sindices,**rindices,i,j,idx,lastidx,l;
472: PetscScalar **rvalues,*svalues;
473: MPI_Comm comm = stash->comm;
474: MPI_Request *send_waits,*recv_waits,*recv_waits1,*recv_waits2;
475: PetscMPIInt *sizes,*nlengths,nreceives;
476: PetscInt *sp_idx,*sp_idy;
477: PetscScalar *sp_val;
478: PetscMatStashSpace space,space_next;
481: { /* make sure all processors are either in INSERTMODE or ADDMODE */
482: InsertMode addv;
483: MPIU_Allreduce((PetscEnum*)&mat->insertmode,(PetscEnum*)&addv,1,MPIU_ENUM,MPI_BOR,PetscObjectComm((PetscObject)mat));
484: if (addv == (ADD_VALUES|INSERT_VALUES)) SETERRQ(PetscObjectComm((PetscObject)mat),PETSC_ERR_ARG_WRONGSTATE,"Some processors inserted others added");
485: mat->insertmode = addv; /* in case this processor had no cache */
486: }
488: bs2 = stash->bs*stash->bs;
490: /* first count number of contributors to each processor */
491: PetscCalloc1(size,&sizes);
492: PetscCalloc1(size,&nlengths);
493: PetscMalloc1(stash->n+1,&owner);
495: i = j = 0;
496: lastidx = -1;
497: space = stash->space_head;
498: while (space) {
499: space_next = space->next;
500: sp_idx = space->idx;
501: for (l=0; l<space->local_used; l++) {
502: /* if indices are NOT locally sorted, need to start search at the beginning */
503: if (lastidx > (idx = sp_idx[l])) j = 0;
504: lastidx = idx;
505: for (; j<size; j++) {
506: if (idx >= owners[j] && idx < owners[j+1]) {
507: nlengths[j]++; owner[i] = j; break;
508: }
509: }
510: i++;
511: }
512: space = space_next;
513: }
514: /* Now check what procs get messages - and compute nsends. */
515: for (i=0, nsends=0; i<size; i++) {
516: if (nlengths[i]) {
517: sizes[i] = 1; nsends++;
518: }
519: }
521: {PetscMPIInt *onodes,*olengths;
522: /* Determine the number of messages to expect, their lengths, from from-ids */
523: PetscGatherNumberOfMessages(comm,sizes,nlengths,&nreceives);
524: PetscGatherMessageLengths(comm,nsends,nreceives,nlengths,&onodes,&olengths);
525: /* since clubbing row,col - lengths are multiplied by 2 */
526: for (i=0; i<nreceives; i++) olengths[i] *=2;
527: PetscPostIrecvInt(comm,tag1,nreceives,onodes,olengths,&rindices,&recv_waits1);
528: /* values are size 'bs2' lengths (and remove earlier factor 2 */
529: for (i=0; i<nreceives; i++) olengths[i] = olengths[i]*bs2/2;
530: PetscPostIrecvScalar(comm,tag2,nreceives,onodes,olengths,&rvalues,&recv_waits2);
531: PetscFree(onodes);
532: PetscFree(olengths);}
534: /* do sends:
535: 1) starts[i] gives the starting index in svalues for stuff going to
536: the ith processor
537: */
538: PetscMalloc2(bs2*stash->n,&svalues,2*(stash->n+1),&sindices);
539: PetscMalloc1(2*nsends,&send_waits);
540: PetscMalloc2(size,&startv,size,&starti);
541: /* use 2 sends the first with all_a, the next with all_i and all_j */
542: startv[0] = 0; starti[0] = 0;
543: for (i=1; i<size; i++) {
544: startv[i] = startv[i-1] + nlengths[i-1];
545: starti[i] = starti[i-1] + 2*nlengths[i-1];
546: }
548: i = 0;
549: space = stash->space_head;
550: while (space) {
551: space_next = space->next;
552: sp_idx = space->idx;
553: sp_idy = space->idy;
554: sp_val = space->val;
555: for (l=0; l<space->local_used; l++) {
556: j = owner[i];
557: if (bs2 == 1) {
558: svalues[startv[j]] = sp_val[l];
559: } else {
560: PetscInt k;
561: PetscScalar *buf1,*buf2;
562: buf1 = svalues+bs2*startv[j];
563: buf2 = space->val + bs2*l;
564: for (k=0; k<bs2; k++) buf1[k] = buf2[k];
565: }
566: sindices[starti[j]] = sp_idx[l];
567: sindices[starti[j]+nlengths[j]] = sp_idy[l];
568: startv[j]++;
569: starti[j]++;
570: i++;
571: }
572: space = space_next;
573: }
574: startv[0] = 0;
575: for (i=1; i<size; i++) startv[i] = startv[i-1] + nlengths[i-1];
577: for (i=0,count=0; i<size; i++) {
578: if (sizes[i]) {
579: MPI_Isend(sindices+2*startv[i],2*nlengths[i],MPIU_INT,i,tag1,comm,send_waits+count++);
580: MPI_Isend(svalues+bs2*startv[i],bs2*nlengths[i],MPIU_SCALAR,i,tag2,comm,send_waits+count++);
581: }
582: }
583: #if defined(PETSC_USE_INFO)
584: PetscInfo1(NULL,"No of messages: %d \n",nsends);
585: for (i=0; i<size; i++) {
586: if (sizes[i]) {
587: PetscInfo2(NULL,"Mesg_to: %d: size: %d bytes\n",i,nlengths[i]*(bs2*sizeof(PetscScalar)+2*sizeof(PetscInt)));
588: }
589: }
590: #endif
591: PetscFree(nlengths);
592: PetscFree(owner);
593: PetscFree2(startv,starti);
594: PetscFree(sizes);
596: /* recv_waits need to be contiguous for MatStashScatterGetMesg_Private() */
597: PetscMalloc1(2*nreceives,&recv_waits);
599: for (i=0; i<nreceives; i++) {
600: recv_waits[2*i] = recv_waits1[i];
601: recv_waits[2*i+1] = recv_waits2[i];
602: }
603: stash->recv_waits = recv_waits;
605: PetscFree(recv_waits1);
606: PetscFree(recv_waits2);
608: stash->svalues = svalues;
609: stash->sindices = sindices;
610: stash->rvalues = rvalues;
611: stash->rindices = rindices;
612: stash->send_waits = send_waits;
613: stash->nsends = nsends;
614: stash->nrecvs = nreceives;
615: stash->reproduce_count = 0;
616: return(0);
617: }
619: /*
620: MatStashScatterGetMesg_Private - This function waits on the receives posted
621: in the function MatStashScatterBegin_Private() and returns one message at
622: a time to the calling function. If no messages are left, it indicates this
623: by setting flg = 0, else it sets flg = 1.
625: Input Parameters:
626: stash - the stash
628: Output Parameters:
629: nvals - the number of entries in the current message.
630: rows - an array of row indices (or blocked indices) corresponding to the values
631: cols - an array of columnindices (or blocked indices) corresponding to the values
632: vals - the values
633: flg - 0 indicates no more message left, and the current call has no values associated.
634: 1 indicates that the current call successfully received a message, and the
635: other output parameters nvals,rows,cols,vals are set appropriately.
636: */
637: PetscErrorCode MatStashScatterGetMesg_Private(MatStash *stash,PetscMPIInt *nvals,PetscInt **rows,PetscInt **cols,PetscScalar **vals,PetscInt *flg)638: {
642: (*stash->ScatterGetMesg)(stash,nvals,rows,cols,vals,flg);
643: return(0);
644: }
646: static PetscErrorCode MatStashScatterGetMesg_Ref(MatStash *stash,PetscMPIInt *nvals,PetscInt **rows,PetscInt **cols,PetscScalar **vals,PetscInt *flg)647: {
649: PetscMPIInt i,*flg_v = stash->flg_v,i1,i2;
650: PetscInt bs2;
651: MPI_Status recv_status;
652: PetscBool match_found = PETSC_FALSE;
655: *flg = 0; /* When a message is discovered this is reset to 1 */
656: /* Return if no more messages to process */
657: if (stash->nprocessed == stash->nrecvs) return(0);
659: bs2 = stash->bs*stash->bs;
660: /* If a matching pair of receives are found, process them, and return the data to
661: the calling function. Until then keep receiving messages */
662: while (!match_found) {
663: if (stash->reproduce) {
664: i = stash->reproduce_count++;
665: MPI_Wait(stash->recv_waits+i,&recv_status);
666: } else {
667: MPI_Waitany(2*stash->nrecvs,stash->recv_waits,&i,&recv_status);
668: }
669: if (recv_status.MPI_SOURCE < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Negative MPI source!");
671: /* Now pack the received message into a structure which is usable by others */
672: if (i % 2) {
673: MPI_Get_count(&recv_status,MPIU_SCALAR,nvals);
675: flg_v[2*recv_status.MPI_SOURCE] = i/2;
677: *nvals = *nvals/bs2;
678: } else {
679: MPI_Get_count(&recv_status,MPIU_INT,nvals);
681: flg_v[2*recv_status.MPI_SOURCE+1] = i/2;
683: *nvals = *nvals/2; /* This message has both row indices and col indices */
684: }
686: /* Check if we have both messages from this proc */
687: i1 = flg_v[2*recv_status.MPI_SOURCE];
688: i2 = flg_v[2*recv_status.MPI_SOURCE+1];
689: if (i1 != -1 && i2 != -1) {
690: *rows = stash->rindices[i2];
691: *cols = *rows + *nvals;
692: *vals = stash->rvalues[i1];
693: *flg = 1;
694: stash->nprocessed++;
695: match_found = PETSC_TRUE;
696: }
697: }
698: return(0);
699: }
701: #if !defined(PETSC_HAVE_MPIUNI)
702: typedef struct {
703: PetscInt row;
704: PetscInt col;
705: PetscScalar vals[1]; /* Actually an array of length bs2 */
706: } MatStashBlock;
708: static PetscErrorCode MatStashSortCompress_Private(MatStash *stash,InsertMode insertmode)709: {
711: PetscMatStashSpace space;
712: PetscInt n = stash->n,bs = stash->bs,bs2 = bs*bs,cnt,*row,*col,*perm,rowstart,i;
713: PetscScalar **valptr;
716: PetscMalloc4(n,&row,n,&col,n,&valptr,n,&perm);
717: for (space=stash->space_head,cnt=0; space; space=space->next) {
718: for (i=0; i<space->local_used; i++) {
719: row[cnt] = space->idx[i];
720: col[cnt] = space->idy[i];
721: valptr[cnt] = &space->val[i*bs2];
722: perm[cnt] = cnt; /* Will tell us where to find valptr after sorting row[] and col[] */
723: cnt++;
724: }
725: }
726: if (cnt != n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"MatStash n %D, but counted %D entries",n,cnt);
727: PetscSortIntWithArrayPair(n,row,col,perm);
728: /* Scan through the rows, sorting each one, combining duplicates, and packing send buffers */
729: for (rowstart=0,cnt=0,i=1; i<=n; i++) {
730: if (i == n || row[i] != row[rowstart]) { /* Sort the last row. */
731: PetscInt colstart;
732: PetscSortIntWithArray(i-rowstart,&col[rowstart],&perm[rowstart]);
733: for (colstart=rowstart; colstart<i; ) { /* Compress multiple insertions to the same location */
734: PetscInt j,l;
735: MatStashBlock *block;
736: PetscSegBufferGet(stash->segsendblocks,1,&block);
737: block->row = row[rowstart];
738: block->col = col[colstart];
739: PetscMemcpy(block->vals,valptr[perm[colstart]],bs2*sizeof(block->vals[0]));
740: for (j=colstart+1; j<i && col[j] == col[colstart]; j++) { /* Add any extra stashed blocks at the same (row,col) */
741: if (insertmode == ADD_VALUES) {
742: for (l=0; l<bs2; l++) block->vals[l] += valptr[perm[j]][l];
743: } else {
744: PetscMemcpy(block->vals,valptr[perm[j]],bs2*sizeof(block->vals[0]));
745: }
746: }
747: colstart = j;
748: }
749: rowstart = i;
750: }
751: }
752: PetscFree4(row,col,valptr,perm);
753: return(0);
754: }
756: static PetscErrorCode MatStashBlockTypeSetUp(MatStash *stash)757: {
761: if (stash->blocktype == MPI_DATATYPE_NULL) {
762: PetscInt bs2 = PetscSqr(stash->bs);
763: PetscMPIInt blocklens[2];
764: MPI_Aint displs[2];
765: MPI_Datatype types[2],stype;
766: /* C++ std::complex is not my favorite datatype. Since it is not POD, we cannot use offsetof to find the offset of
767: * vals. But the layout is actually guaranteed by the standard, so we do a little dance here with struct
768: * DummyBlock, substituting PetscReal for PetscComplex so that we can determine the offset.
769: */
770: struct DummyBlock {PetscInt row,col; PetscReal vals;};
772: stash->blocktype_size = offsetof(struct DummyBlock,vals) + bs2*sizeof(PetscScalar);
773: if (stash->blocktype_size % sizeof(PetscInt)) { /* Implies that PetscInt is larger and does not satisfy alignment without padding */
774: stash->blocktype_size += sizeof(PetscInt) - stash->blocktype_size % sizeof(PetscInt);
775: }
776: PetscSegBufferCreate(stash->blocktype_size,1,&stash->segsendblocks);
777: PetscSegBufferCreate(stash->blocktype_size,1,&stash->segrecvblocks);
778: PetscSegBufferCreate(sizeof(MatStashFrame),1,&stash->segrecvframe);
779: blocklens[0] = 2;
780: blocklens[1] = bs2;
781: displs[0] = offsetof(struct DummyBlock,row);
782: displs[1] = offsetof(struct DummyBlock,vals);
783: types[0] = MPIU_INT;
784: types[1] = MPIU_SCALAR;
785: MPI_Type_create_struct(2,blocklens,displs,types,&stype);
786: MPI_Type_commit(&stype);
787: MPI_Type_create_resized(stype,0,stash->blocktype_size,&stash->blocktype); /* MPI-2 */
788: MPI_Type_commit(&stash->blocktype);
789: MPI_Type_free(&stype);
790: }
791: return(0);
792: }
794: /* Callback invoked after target rank has initiatied receive of rendezvous message.
795: * Here we post the main sends.
796: */
797: static PetscErrorCode MatStashBTSSend_Private(MPI_Comm comm,const PetscMPIInt tag[],PetscMPIInt rankid,PetscMPIInt rank,void *sdata,MPI_Request req[],void *ctx)798: {
799: MatStash *stash = (MatStash*)ctx;
800: MatStashHeader *hdr = (MatStashHeader*)sdata;
804: if (rank != stash->sendranks[rankid]) SETERRQ3(comm,PETSC_ERR_PLIB,"BTS Send rank %d does not match sendranks[%d] %d",rank,rankid,stash->sendranks[rankid]);
805: MPI_Isend(stash->sendframes[rankid].buffer,hdr->count,stash->blocktype,rank,tag[0],comm,&req[0]);
806: stash->sendframes[rankid].count = hdr->count;
807: stash->sendframes[rankid].pending = 1;
808: return(0);
809: }
811: /* Callback invoked by target after receiving rendezvous message.
812: * Here we post the main recvs.
813: */
814: static PetscErrorCode MatStashBTSRecv_Private(MPI_Comm comm,const PetscMPIInt tag[],PetscMPIInt rank,void *rdata,MPI_Request req[],void *ctx)815: {
816: MatStash *stash = (MatStash*)ctx;
817: MatStashHeader *hdr = (MatStashHeader*)rdata;
818: MatStashFrame *frame;
822: PetscSegBufferGet(stash->segrecvframe,1,&frame);
823: PetscSegBufferGet(stash->segrecvblocks,hdr->count,&frame->buffer);
824: MPI_Irecv(frame->buffer,hdr->count,stash->blocktype,rank,tag[0],comm,&req[0]);
825: frame->count = hdr->count;
826: frame->pending = 1;
827: return(0);
828: }
830: /*
831: * owners[] contains the ownership ranges; may be indexed by either blocks or scalars
832: */
833: static PetscErrorCode MatStashScatterBegin_BTS(Mat mat,MatStash *stash,PetscInt owners[])834: {
836: size_t nblocks;
837: char *sendblocks;
840: #if defined(PETSC_USE_DEBUG)
841: { /* make sure all processors are either in INSERTMODE or ADDMODE */
842: InsertMode addv;
843: MPIU_Allreduce((PetscEnum*)&mat->insertmode,(PetscEnum*)&addv,1,MPIU_ENUM,MPI_BOR,PetscObjectComm((PetscObject)mat));
844: if (addv == (ADD_VALUES|INSERT_VALUES)) SETERRQ(PetscObjectComm((PetscObject)mat),PETSC_ERR_ARG_WRONGSTATE,"Some processors inserted others added");
845: }
846: #endif
848: if (stash->subset_off_proc && !mat->subsetoffprocentries) { /* We won't use the old scatter context. */
849: MatStashScatterDestroy_BTS(stash);
850: }
852: MatStashBlockTypeSetUp(stash);
853: MatStashSortCompress_Private(stash,mat->insertmode);
854: PetscSegBufferGetSize(stash->segsendblocks,&nblocks);
855: PetscSegBufferExtractInPlace(stash->segsendblocks,&sendblocks);
856: if (stash->subset_off_proc && mat->subsetoffprocentries) { /* Set up sendhdrs and sendframes for each rank that we sent before */
857: PetscInt i;
858: size_t b;
859: for (i=0,b=0; i<stash->nsendranks; i++) {
860: stash->sendframes[i].buffer = &sendblocks[b*stash->blocktype_size];
861: /* sendhdr is never actually sent, but the count is used by MatStashBTSSend_Private */
862: stash->sendhdr[i].count = 0; /* Might remain empty (in which case we send a zero-sized message) if no values are communicated to that process */
863: for ( ; b<nblocks; b++) {
864: MatStashBlock *sendblock_b = (MatStashBlock*)&sendblocks[b*stash->blocktype_size];
865: if (PetscUnlikely(sendblock_b->row < owners[stash->sendranks[i]])) SETERRQ2(stash->comm,PETSC_ERR_ARG_WRONG,"MAT_SUBSET_OFF_PROC_ENTRIES set, but row %D owned by %d not communicated in initial assembly",sendblock_b->row,stash->sendranks[i]);
866: if (sendblock_b->row >= owners[stash->sendranks[i]+1]) break;
867: stash->sendhdr[i].count++;
868: }
869: }
870: } else { /* Dynamically count and pack (first time) */
871: PetscInt sendno;
872: size_t i,rowstart;
874: /* Count number of send ranks and allocate for sends */
875: stash->nsendranks = 0;
876: for (rowstart=0; rowstart<nblocks; ) {
877: PetscInt owner;
878: MatStashBlock *sendblock_rowstart = (MatStashBlock*)&sendblocks[rowstart*stash->blocktype_size];
879: PetscFindInt(sendblock_rowstart->row,stash->size+1,owners,&owner);
880: if (owner < 0) owner = -(owner+2);
881: for (i=rowstart+1; i<nblocks; i++) { /* Move forward through a run of blocks with the same owner */
882: MatStashBlock *sendblock_i = (MatStashBlock*)&sendblocks[i*stash->blocktype_size];
883: if (sendblock_i->row >= owners[owner+1]) break;
884: }
885: stash->nsendranks++;
886: rowstart = i;
887: }
888: PetscMalloc3(stash->nsendranks,&stash->sendranks,stash->nsendranks,&stash->sendhdr,stash->nsendranks,&stash->sendframes);
890: /* Set up sendhdrs and sendframes */
891: sendno = 0;
892: for (rowstart=0; rowstart<nblocks; ) {
893: PetscInt owner;
894: MatStashBlock *sendblock_rowstart = (MatStashBlock*)&sendblocks[rowstart*stash->blocktype_size];
895: PetscFindInt(sendblock_rowstart->row,stash->size+1,owners,&owner);
896: if (owner < 0) owner = -(owner+2);
897: stash->sendranks[sendno] = owner;
898: for (i=rowstart+1; i<nblocks; i++) { /* Move forward through a run of blocks with the same owner */
899: MatStashBlock *sendblock_i = (MatStashBlock*)&sendblocks[i*stash->blocktype_size];
900: if (sendblock_i->row >= owners[owner+1]) break;
901: }
902: stash->sendframes[sendno].buffer = sendblock_rowstart;
903: stash->sendframes[sendno].pending = 0;
904: stash->sendhdr[sendno].count = i - rowstart;
905: sendno++;
906: rowstart = i;
907: }
908: if (sendno != stash->nsendranks) SETERRQ2(stash->comm,PETSC_ERR_PLIB,"BTS counted %D sendranks, but %D sends",stash->nsendranks,sendno);
909: }
911: /* Encode insertmode on the outgoing messages. If we want to support more than two options, we would need a new
912: * message or a dummy entry of some sort. */
913: if (mat->insertmode == INSERT_VALUES) {
914: size_t i;
915: for (i=0; i<nblocks; i++) {
916: MatStashBlock *sendblock_i = (MatStashBlock*)&sendblocks[i*stash->blocktype_size];
917: sendblock_i->row = -(sendblock_i->row+1);
918: }
919: }
921: if (stash->subset_off_proc && mat->subsetoffprocentries) {
922: PetscMPIInt i,tag;
923: PetscCommGetNewTag(stash->comm,&tag);
924: for (i=0; i<stash->nrecvranks; i++) {
925: MatStashBTSRecv_Private(stash->comm,&tag,stash->recvranks[i],&stash->recvhdr[i],&stash->recvreqs[i],stash);
926: }
927: for (i=0; i<stash->nsendranks; i++) {
928: MatStashBTSSend_Private(stash->comm,&tag,i,stash->sendranks[i],&stash->sendhdr[i],&stash->sendreqs[i],stash);
929: }
930: stash->use_status = PETSC_TRUE; /* Use count from message status. */
931: } else {
932: PetscCommBuildTwoSidedFReq(stash->comm,1,MPIU_INT,stash->nsendranks,stash->sendranks,(PetscInt*)stash->sendhdr,
933: &stash->nrecvranks,&stash->recvranks,(PetscInt*)&stash->recvhdr,1,&stash->sendreqs,&stash->recvreqs,
934: MatStashBTSSend_Private,MatStashBTSRecv_Private,stash);
935: PetscMalloc2(stash->nrecvranks,&stash->some_indices,stash->nrecvranks,&stash->some_statuses);
936: stash->use_status = PETSC_FALSE; /* Use count from header instead of from message. */
937: }
939: PetscSegBufferExtractInPlace(stash->segrecvframe,&stash->recvframes);
940: stash->recvframe_active = NULL;
941: stash->recvframe_i = 0;
942: stash->some_i = 0;
943: stash->some_count = 0;
944: stash->recvcount = 0;
945: stash->subset_off_proc = mat->subsetoffprocentries;
946: stash->insertmode = &mat->insertmode;
947: return(0);
948: }
950: static PetscErrorCode MatStashScatterGetMesg_BTS(MatStash *stash,PetscMPIInt *n,PetscInt **row,PetscInt **col,PetscScalar **val,PetscInt *flg)951: {
953: MatStashBlock *block;
956: *flg = 0;
957: while (!stash->recvframe_active || stash->recvframe_i == stash->recvframe_count) {
958: if (stash->some_i == stash->some_count) {
959: if (stash->recvcount == stash->nrecvranks) return(0); /* Done */
960: MPI_Waitsome(stash->nrecvranks,stash->recvreqs,&stash->some_count,stash->some_indices,stash->use_status?stash->some_statuses:MPI_STATUSES_IGNORE);
961: stash->some_i = 0;
962: }
963: stash->recvframe_active = &stash->recvframes[stash->some_indices[stash->some_i]];
964: stash->recvframe_count = stash->recvframe_active->count; /* From header; maximum count */
965: if (stash->use_status) { /* Count what was actually sent */
966: MPI_Get_count(&stash->some_statuses[stash->some_i],stash->blocktype,&stash->recvframe_count);
967: }
968: if (stash->recvframe_count > 0) { /* Check for InsertMode consistency */
969: block = (MatStashBlock*)&((char*)stash->recvframe_active->buffer)[0];
970: if (PetscUnlikely(*stash->insertmode == NOT_SET_VALUES)) *stash->insertmode = block->row < 0 ? INSERT_VALUES : ADD_VALUES;
971: if (PetscUnlikely(*stash->insertmode == INSERT_VALUES && block->row >= 0)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Assembling INSERT_VALUES, but rank %d requested ADD_VALUES",stash->recvranks[stash->some_indices[stash->some_i]]);
972: if (PetscUnlikely(*stash->insertmode == ADD_VALUES && block->row < 0)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Assembling ADD_VALUES, but rank %d requested INSERT_VALUES",stash->recvranks[stash->some_indices[stash->some_i]]);
973: }
974: stash->some_i++;
975: stash->recvcount++;
976: stash->recvframe_i = 0;
977: }
978: *n = 1;
979: block = (MatStashBlock*)&((char*)stash->recvframe_active->buffer)[stash->recvframe_i*stash->blocktype_size];
980: if (block->row < 0) block->row = -(block->row + 1);
981: *row = &block->row;
982: *col = &block->col;
983: *val = block->vals;
984: stash->recvframe_i++;
985: *flg = 1;
986: return(0);
987: }
989: static PetscErrorCode MatStashScatterEnd_BTS(MatStash *stash)990: {
994: MPI_Waitall(stash->nsendranks,stash->sendreqs,MPI_STATUSES_IGNORE);
995: if (stash->subset_off_proc) { /* Reuse the communication contexts, so consolidate and reset segrecvblocks */
996: void *dummy;
997: PetscSegBufferExtractInPlace(stash->segrecvblocks,&dummy);
998: } else { /* No reuse, so collect everything. */
999: MatStashScatterDestroy_BTS(stash);
1000: }
1002: /* Now update nmaxold to be app 10% more than max n used, this way the
1003: wastage of space is reduced the next time this stash is used.
1004: Also update the oldmax, only if it increases */
1005: if (stash->n) {
1006: PetscInt bs2 = stash->bs*stash->bs;
1007: PetscInt oldnmax = ((int)(stash->n * 1.1) + 5)*bs2;
1008: if (oldnmax > stash->oldnmax) stash->oldnmax = oldnmax;
1009: }
1011: stash->nmax = 0;
1012: stash->n = 0;
1013: stash->reallocs = -1;
1014: stash->nprocessed = 0;
1016: PetscMatStashSpaceDestroy(&stash->space_head);
1018: stash->space = 0;
1020: return(0);
1021: }
1023: static PetscErrorCode MatStashScatterDestroy_BTS(MatStash *stash)1024: {
1028: PetscSegBufferDestroy(&stash->segsendblocks);
1029: PetscSegBufferDestroy(&stash->segrecvframe);
1030: stash->recvframes = NULL;
1031: PetscSegBufferDestroy(&stash->segrecvblocks);
1032: if (stash->blocktype != MPI_DATATYPE_NULL) {
1033: MPI_Type_free(&stash->blocktype);
1034: }
1035: stash->nsendranks = 0;
1036: stash->nrecvranks = 0;
1037: PetscFree3(stash->sendranks,stash->sendhdr,stash->sendframes);
1038: PetscFree(stash->sendreqs);
1039: PetscFree(stash->recvreqs);
1040: PetscFree(stash->recvranks);
1041: PetscFree(stash->recvhdr);
1042: PetscFree2(stash->some_indices,stash->some_statuses);
1043: return(0);
1044: }
1045: #endif