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📄 mfm.c

📁 多层权核k均值算法
💻 C
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/* * Copyright 1997, Regents of the University of Minnesota * * mfm.c * * This file contains code that implements the edge-based FM refinement * * Started 7/23/97 * George * * $Id: mfm.c,v 1.3 1998/11/30 14:50:44 karypis Exp $ */#include <metis.h>/************************************************************************** This function performs an edge-based FM refinement**************************************************************************/void MocFM_2WayEdgeRefine(CtrlType *ctrl, GraphType *graph, float *tpwgts, int npasses){  int i, ii, j, k, l, kwgt, nvtxs, ncon, nbnd, nswaps, from, to, pass, me, limit, tmp, cnum;  idxtype *xadj, *adjncy, *adjwgt, *where, *id, *ed, *bndptr, *bndind;  idxtype *moved, *swaps, *perm, *qnum;  float *nvwgt, *npwgts, mindiff[MAXNCON], origbal, minbal, newbal;  PQueueType parts[MAXNCON][2];  int higain, oldgain, mincut, initcut, newcut, mincutorder;  float rtpwgts[2];  nvtxs = graph->nvtxs;  ncon = graph->ncon;  xadj = graph->xadj;  nvwgt = graph->nvwgt;  adjncy = graph->adjncy;  adjwgt = graph->adjwgt;  where = graph->where;  id = graph->id;  ed = graph->ed;  npwgts = graph->npwgts;  bndptr = graph->bndptr;  bndind = graph->bndind;  moved = idxwspacemalloc(ctrl, nvtxs);  swaps = idxwspacemalloc(ctrl, nvtxs);  perm = idxwspacemalloc(ctrl, nvtxs);  qnum = idxwspacemalloc(ctrl, nvtxs);  limit = amin(amax(0.01*nvtxs, 25), 150);  /* Initialize the queues */  for (i=0; i<ncon; i++) {    PQueueInit(ctrl, &parts[i][0], nvtxs, PLUS_GAINSPAN+1);    PQueueInit(ctrl, &parts[i][1], nvtxs, PLUS_GAINSPAN+1);  }  for (i=0; i<nvtxs; i++)    qnum[i] = samax(ncon, nvwgt+i*ncon);  origbal = Compute2WayHLoadImbalance(ncon, npwgts, tpwgts);  rtpwgts[0] = origbal*tpwgts[0];  rtpwgts[1] = origbal*tpwgts[1];  if (ctrl->dbglvl&DBG_REFINE) {    printf("Parts: [");    for (l=0; l<ncon; l++)      printf("(%.3f, %.3f) ", npwgts[l], npwgts[ncon+l]);    printf("] T[%.3f %.3f], Nv-Nb[%5d, %5d]. ICut: %6d, LB: %.3f\n", tpwgts[0], tpwgts[1], graph->nvtxs, graph->nbnd, graph->mincut, origbal);  }  idxset(nvtxs, -1, moved);  for (pass=0; pass<npasses; pass++) { /* Do a number of passes */    for (i=0; i<ncon; i++) {       PQueueReset(&parts[i][0]);      PQueueReset(&parts[i][1]);    }    mincutorder = -1;    newcut = mincut = initcut = graph->mincut;    for (i=0; i<ncon; i++)      mindiff[i] = fabs(tpwgts[0]-npwgts[i]);    minbal = Compute2WayHLoadImbalance(ncon, npwgts, tpwgts);    ASSERT(ComputeCut(graph, where) == graph->mincut);    ASSERT(CheckBnd(graph));    /* Insert boundary nodes in the priority queues */    nbnd = graph->nbnd;    RandomPermute(nbnd, perm, 1);    for (ii=0; ii<nbnd; ii++) {      i = bndind[perm[ii]];      ASSERT(ed[i] > 0 || id[i] == 0);      ASSERT(bndptr[i] != -1);      PQueueInsert(&parts[qnum[i]][where[i]], i, ed[i]-id[i]);    }    for (nswaps=0; nswaps<nvtxs; nswaps++) {      SelectQueue(ncon, npwgts, rtpwgts, &from, &cnum, parts);      to = (from+1)%2;      if (from == -1 || (higain = PQueueGetMax(&parts[cnum][from])) == -1)        break;      ASSERT(bndptr[higain] != -1);      saxpy(ncon, 1.0, nvwgt+higain*ncon, 1, npwgts+to*ncon, 1);      saxpy(ncon, -1.0, nvwgt+higain*ncon, 1, npwgts+from*ncon, 1);      newcut -= (ed[higain]-id[higain]);      newbal = Compute2WayHLoadImbalance(ncon, npwgts, tpwgts);      if ((newcut < mincut && newbal-origbal <= .00001) ||           (newcut == mincut && (newbal < minbal ||                                 (newbal == minbal && BetterBalance(ncon, npwgts, tpwgts, mindiff))))) {        mincut = newcut;        minbal = newbal;        mincutorder = nswaps;        for (i=0; i<ncon; i++)          mindiff[i] = fabs(tpwgts[0]-npwgts[i]);      }      else if (nswaps-mincutorder > limit) { /* We hit the limit, undo last move */        newcut += (ed[higain]-id[higain]);        saxpy(ncon, 1.0, nvwgt+higain*ncon, 1, npwgts+from*ncon, 1);        saxpy(ncon, -1.0, nvwgt+higain*ncon, 1, npwgts+to*ncon, 1);        break;      }      where[higain] = to;      moved[higain] = nswaps;      swaps[nswaps] = higain;      if (ctrl->dbglvl&DBG_MOVEINFO) {        printf("Moved %6d from %d(%d). Gain: %5d, Cut: %5d, NPwgts: ", higain, from, cnum, ed[higain]-id[higain], newcut);        for (l=0; l<ncon; l++)           printf("(%.3f, %.3f) ", npwgts[l], npwgts[ncon+l]);        printf(", %.3f LB: %.3f\n", minbal, newbal);      }      /**************************************************************      * Update the id[i]/ed[i] values of the affected nodes      ***************************************************************/      SWAP(id[higain], ed[higain], tmp);      if (ed[higain] == 0 && xadj[higain] < xadj[higain+1])         BNDDelete(nbnd, bndind,  bndptr, higain);      for (j=xadj[higain]; j<xadj[higain+1]; j++) {        k = adjncy[j];        oldgain = ed[k]-id[k];        kwgt = (to == where[k] ? adjwgt[j] : -adjwgt[j]);        INC_DEC(id[k], ed[k], kwgt);        /* Update its boundary information and queue position */        if (bndptr[k] != -1) { /* If k was a boundary vertex */          if (ed[k] == 0) { /* Not a boundary vertex any more */            BNDDelete(nbnd, bndind, bndptr, k);            if (moved[k] == -1)  /* Remove it if in the queues */              PQueueDelete(&parts[qnum[k]][where[k]], k, oldgain);          }          else { /* If it has not been moved, update its position in the queue */            if (moved[k] == -1)              PQueueUpdate(&parts[qnum[k]][where[k]], k, oldgain, ed[k]-id[k]);          }        }        else {          if (ed[k] > 0) {  /* It will now become a boundary vertex */            BNDInsert(nbnd, bndind, bndptr, k);            if (moved[k] == -1)               PQueueInsert(&parts[qnum[k]][where[k]], k, ed[k]-id[k]);          }        }      }    }    /****************************************************************    * Roll back computations    *****************************************************************/    for (i=0; i<nswaps; i++)      moved[swaps[i]] = -1;  /* reset moved array */    for (nswaps--; nswaps>mincutorder; nswaps--) {      higain = swaps[nswaps];      to = where[higain] = (where[higain]+1)%2;      SWAP(id[higain], ed[higain], tmp);      if (ed[higain] == 0 && bndptr[higain] != -1 && xadj[higain] < xadj[higain+1])        BNDDelete(nbnd, bndind,  bndptr, higain);      else if (ed[higain] > 0 && bndptr[higain] == -1)        BNDInsert(nbnd, bndind,  bndptr, higain);      saxpy(ncon, 1.0, nvwgt+higain*ncon, 1, npwgts+to*ncon, 1);      saxpy(ncon, -1.0, nvwgt+higain*ncon, 1, npwgts+((to+1)%2)*ncon, 1);      for (j=xadj[higain]; j<xadj[higain+1]; j++) {        k = adjncy[j];        kwgt = (to == where[k] ? adjwgt[j] : -adjwgt[j]);        INC_DEC(id[k], ed[k], kwgt);        if (bndptr[k] != -1 && ed[k] == 0)          BNDDelete(nbnd, bndind, bndptr, k);        if (bndptr[k] == -1 && ed[k] > 0)          BNDInsert(nbnd, bndind, bndptr, k);      }    }    if (ctrl->dbglvl&DBG_REFINE) {      printf("\tMincut: %6d at %5d, NBND: %6d, NPwgts: [", mincut, mincutorder, nbnd);      for (l=0; l<ncon; l++)        printf("(%.3f, %.3f) ", npwgts[l], npwgts[ncon+l]);      printf("], LB: %.3f\n", Compute2WayHLoadImbalance(ncon, npwgts, tpwgts));    }    graph->mincut = mincut;    graph->nbnd = nbnd;    if (mincutorder == -1 || mincut == initcut)      break;  }  for (i=0; i<ncon; i++) {    PQueueFree(ctrl, &parts[i][0]);    PQueueFree(ctrl, &parts[i][1]);  }  idxwspacefree(ctrl, nvtxs);  idxwspacefree(ctrl, nvtxs);  idxwspacefree(ctrl, nvtxs);  idxwspacefree(ctrl, nvtxs);}/************************************************************************** This function selects the partition number and the queue from which* we will move vertices out**************************************************************************/ void SelectQueue(int ncon, float *npwgts, float *tpwgts, int *from, int *cnum, PQueueType queues[MAXNCON][2]){  int i, part, maxgain=0;  float max, maxdiff=0.0;  *from = -1;  *cnum = -1;  /* First determine the side and the queue, irrespective of the presence of nodes */  for (part=0; part<2; part++) {    for (i=0; i<ncon; i++) {      if (npwgts[part*ncon+i]-tpwgts[part] >= maxdiff) {        maxdiff = npwgts[part*ncon+i]-tpwgts[part];        *from = part;        *cnum = i;      }    }  }  /* printf("Selected1 %d(%d) -> %d [%5f]\n", *from, *cnum, PQueueGetSize(&queues[*cnum][*from]), maxdiff); */  if (*from != -1 && PQueueGetSize(&queues[*cnum][*from]) == 0) {    /* The desired queue is empty, select a node from that side anyway */    for (i=0; i<ncon; i++) {      if (PQueueGetSize(&queues[i][*from]) > 0) {        max = npwgts[(*from)*ncon + i];        *cnum = i;        break;      }    }    for (i++; i<ncon; i++) {      if (npwgts[(*from)*ncon + i] > max && PQueueGetSize(&queues[i][*from]) > 0) {        max = npwgts[(*from)*ncon + i];        *cnum = i;      }    }  }  /* Check to see if you can focus on the cut */  if (maxdiff <= 0.0 || *from == -1) {    maxgain = -100000;    for (part=0; part<2; part++) {      for (i=0; i<ncon; i++) {        if (PQueueGetSize(&queues[i][part]) > 0 && PQueueGetKey(&queues[i][part]) > maxgain) {          maxgain = PQueueGetKey(&queues[i][part]);           *from = part;          *cnum = i;        }      }    }  }  /* printf("Selected2 %d(%d) -> %d\n", *from, *cnum, PQueueGetSize(&queues[*cnum][*from])); */}/************************************************************************** This function checks if the balance achieved is better than the diff * For now, it uses a 2-norm measure**************************************************************************/ int BetterBalance(int ncon, float *npwgts, float *tpwgts, float *diff){  int i;  float ndiff[MAXNCON];  for (i=0; i<ncon; i++)    ndiff[i] = fabs(tpwgts[0]-npwgts[i]);     return snorm2(ncon, ndiff) < snorm2(ncon, diff);}/************************************************************************** This function computes the load imbalance over all the constrains**************************************************************************/ float Compute2WayHLoadImbalance(int ncon, float *npwgts, float *tpwgts){  int i;  float max=0.0, temp;  for (i=0; i<ncon; i++) {    /* temp = amax(npwgts[i]/tpwgts[0], npwgts[ncon+i]/tpwgts[1]); */    temp = fabs(tpwgts[0]-npwgts[i])/tpwgts[0];    max = (max < temp ? temp : max);  }  return 1.0+max;}/************************************************************************** This function computes the load imbalance over all the constrains* For now assume that we just want balanced partitionings**************************************************************************/ void Compute2WayHLoadImbalanceVec(int ncon, float *npwgts, float *tpwgts, float *lbvec){  int i;  for (i=0; i<ncon; i++)     lbvec[i] = 1.0 + fabs(tpwgts[0]-npwgts[i])/tpwgts[0];}

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