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dspl.hpp
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dspl.hpp
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// ***********************************************************************
//
// miniVite
//
// ***********************************************************************
//
// Copyright (2018) Battelle Memorial Institute
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the copyright holder nor the names of its
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
// FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
// COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
// LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
// ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// ************************************************************************
#pragma once
#ifndef DSPL_HPP
#define DSPL_HPP
#include <algorithm>
#include <fstream>
#include <functional>
#include <iostream>
#include <list>
#include <numeric>
#include <vector>
#include <unordered_map>
#include <unordered_set>
#include <map>
#include <mpi.h>
#include <omp.h>
#include "graph.hpp"
#include "utils.hpp"
struct Comm {
GraphElem size;
GraphWeight degree;
Comm() : size(0), degree(0.0) {};
};
struct CommInfo {
GraphElem community;
GraphElem size;
GraphWeight degree;
};
const int SizeTag = 1;
const int VertexTag = 2;
const int CommunityTag = 3;
const int CommunitySizeTag = 4;
const int CommunityDataTag = 5;
static MPI_Datatype commType;
void distSumVertexDegree(const Graph &g, std::vector<GraphWeight> &vDegree, std::vector<Comm> &localCinfo)
{
const GraphElem nv = g.get_lnv();
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for default(shared), shared(g, vDegree, localCinfo), schedule(runtime)
#else
#pragma omp parallel for default(shared), shared(g, vDegree, localCinfo), schedule(guided)
#endif
for (GraphElem i = 0; i < nv; i++) {
GraphElem e0, e1;
GraphWeight tw = 0.0;
g.edge_range(i, e0, e1);
for (GraphElem k = e0; k < e1; k++) {
const Edge &edge = g.get_edge(k);
tw += edge.weight_;
}
vDegree[i] = tw;
localCinfo[i].degree = tw;
localCinfo[i].size = 1L;
}
} // distSumVertexDegree
GraphWeight distCalcConstantForSecondTerm(const std::vector<GraphWeight> &vDegree, MPI_Comm gcomm)
{
GraphWeight totalEdgeWeightTwice = 0.0;
GraphWeight localWeight = 0.0;
int me = -1;
const size_t vsz = vDegree.size();
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for default(shared), shared(vDegree), reduction(+: localWeight) schedule(runtime)
#else
#pragma omp parallel for default(shared), shared(vDegree), reduction(+: localWeight) schedule(static)
#endif
for (GraphElem i = 0; i < vsz; i++)
localWeight += vDegree[i]; // Local reduction
// Global reduction
MPI_Allreduce(&localWeight, &totalEdgeWeightTwice, 1,
MPI_WEIGHT_TYPE, MPI_SUM, gcomm);
return (1.0 / static_cast<GraphWeight>(totalEdgeWeightTwice));
} // distCalcConstantForSecondTerm
void distInitComm(std::vector<GraphElem> &pastComm, std::vector<GraphElem> &currComm, const GraphElem base)
{
const size_t csz = currComm.size();
#ifdef DEBUG_PRINTF
assert(csz == pastComm.size());
#endif
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for default(shared), shared(pastComm, currComm), firstprivate(base), schedule(runtime)
#else
#pragma omp parallel for default(shared), shared(pastComm, currComm), firstprivate(base), schedule(static)
#endif
for (GraphElem i = 0L; i < csz; i++) {
pastComm[i] = i + base;
currComm[i] = i + base;
}
} // distInitComm
void distInitLouvain(const Graph &dg, std::vector<GraphElem> &pastComm,
std::vector<GraphElem> &currComm, std::vector<GraphWeight> &vDegree,
std::vector<GraphWeight> &clusterWeight, std::vector<Comm> &localCinfo,
std::vector<Comm> &localCupdate, GraphWeight &constantForSecondTerm,
const int me)
{
const GraphElem base = dg.get_base(me);
const GraphElem nv = dg.get_lnv();
MPI_Comm gcomm = dg.get_comm();
vDegree.resize(nv);
pastComm.resize(nv);
currComm.resize(nv);
clusterWeight.resize(nv);
localCinfo.resize(nv);
localCupdate.resize(nv);
distSumVertexDegree(dg, vDegree, localCinfo);
constantForSecondTerm = distCalcConstantForSecondTerm(vDegree, gcomm);
distInitComm(pastComm, currComm, base);
} // distInitLouvain
GraphElem distGetMaxIndex(const std::unordered_map<GraphElem, GraphElem> &clmap, const std::vector<GraphWeight> &counter,
const GraphWeight selfLoop, const std::vector<Comm> &localCinfo,
const std::map<GraphElem,Comm> &remoteCinfo, const GraphWeight vDegree,
const GraphElem currSize, const GraphWeight currDegree, const GraphElem currComm,
const GraphElem base, const GraphElem bound, const GraphWeight constant)
{
std::unordered_map<GraphElem, GraphElem>::const_iterator storedAlready;
GraphElem maxIndex = currComm;
GraphWeight curGain = 0.0, maxGain = 0.0;
GraphWeight eix = static_cast<GraphWeight>(counter[0]) - static_cast<GraphWeight>(selfLoop);
GraphWeight ax = currDegree - vDegree;
GraphWeight eiy = 0.0, ay = 0.0;
GraphElem maxSize = currSize;
GraphElem size = 0;
storedAlready = clmap.begin();
#ifdef DEBUG_PRINTF
assert(storedAlready != clmap.end());
#endif
do {
if (currComm != storedAlready->first) {
// is_local, direct access local info
if ((storedAlready->first >= base) && (storedAlready->first < bound)) {
ay = localCinfo[storedAlready->first-base].degree;
size = localCinfo[storedAlready->first - base].size;
}
else {
// is_remote, lookup map
std::map<GraphElem,Comm>::const_iterator citer = remoteCinfo.find(storedAlready->first);
ay = citer->second.degree;
size = citer->second.size;
}
eiy = counter[storedAlready->second];
curGain = 2.0 * (eiy - eix) - 2.0 * vDegree * (ay - ax) * constant;
if ((curGain > maxGain) ||
((curGain == maxGain) && (curGain != 0.0) && (storedAlready->first < maxIndex))) {
maxGain = curGain;
maxIndex = storedAlready->first;
maxSize = size;
}
}
storedAlready++;
} while (storedAlready != clmap.end());
if ((maxSize == 1) && (currSize == 1) && (maxIndex > currComm))
maxIndex = currComm;
return maxIndex;
} // distGetMaxIndex
GraphWeight distBuildLocalMapCounter(const GraphElem e0, const GraphElem e1, std::unordered_map<GraphElem, GraphElem> &clmap,
std::vector<GraphWeight> &counter, const Graph &g,
const std::vector<GraphElem> &currComm,
const std::unordered_map<GraphElem, GraphElem> &remoteComm,
const GraphElem vertex, const GraphElem base, const GraphElem bound)
{
GraphElem numUniqueClusters = 1L;
GraphWeight selfLoop = 0;
std::unordered_map<GraphElem, GraphElem>::const_iterator storedAlready;
for (GraphElem j = e0; j < e1; j++) {
const Edge &edge = g.get_edge(j);
const GraphElem &tail_ = edge.tail_;
const GraphWeight &weight = edge.weight_;
GraphElem tcomm;
if (tail_ == vertex + base)
selfLoop += weight;
// is_local, direct access local std::vector<GraphElem>
if ((tail_ >= base) && (tail_ < bound))
tcomm = currComm[tail_ - base];
else { // is_remote, lookup map
std::unordered_map<GraphElem, GraphElem>::const_iterator iter = remoteComm.find(tail_);
#ifdef DEBUG_PRINTF
assert(iter != remoteComm.end());
#endif
tcomm = iter->second;
}
storedAlready = clmap.find(tcomm);
if (storedAlready != clmap.end())
counter[storedAlready->second] += weight;
else {
clmap.insert(std::unordered_map<GraphElem, GraphElem>::value_type(tcomm, numUniqueClusters));
counter.push_back(weight);
numUniqueClusters++;
}
}
return selfLoop;
} // distBuildLocalMapCounter
void distExecuteLouvainIteration(const GraphElem i, const Graph &dg, const std::vector<GraphElem> &currComm,
std::vector<GraphElem> &targetComm, const std::vector<GraphWeight> &vDegree,
std::vector<Comm> &localCinfo, std::vector<Comm> &localCupdate,
const std::unordered_map<GraphElem, GraphElem> &remoteComm,
const std::map<GraphElem,Comm> &remoteCinfo,
std::map<GraphElem,Comm> &remoteCupdate, const GraphWeight constantForSecondTerm,
std::vector<GraphWeight> &clusterWeight, const int me)
{
GraphElem localTarget = -1;
GraphElem e0, e1, selfLoop = 0;
std::unordered_map<GraphElem, GraphElem> clmap;
std::vector<GraphWeight> counter;
const GraphElem base = dg.get_base(me), bound = dg.get_bound(me);
const GraphElem cc = currComm[i];
GraphWeight ccDegree;
GraphElem ccSize;
bool currCommIsLocal = false;
bool targetCommIsLocal = false;
// Current Community is local
if (cc >= base && cc < bound) {
ccDegree=localCinfo[cc-base].degree;
ccSize=localCinfo[cc-base].size;
currCommIsLocal=true;
} else {
// is remote
std::map<GraphElem,Comm>::const_iterator citer = remoteCinfo.find(cc);
ccDegree = citer->second.degree;
ccSize = citer->second.size;
currCommIsLocal=false;
}
dg.edge_range(i, e0, e1);
if (e0 != e1) {
clmap.insert(std::unordered_map<GraphElem, GraphElem>::value_type(cc, 0));
counter.push_back(0.0);
selfLoop = distBuildLocalMapCounter(e0, e1, clmap, counter, dg,
currComm, remoteComm, i, base, bound);
clusterWeight[i] += counter[0];
localTarget = distGetMaxIndex(clmap, counter, selfLoop, localCinfo, remoteCinfo,
vDegree[i], ccSize, ccDegree, cc, base, bound, constantForSecondTerm);
}
else
localTarget = cc;
// is the Target Local?
if (localTarget >= base && localTarget < bound)
targetCommIsLocal = true;
// current and target comm are local - atomic updates to vectors
if ((localTarget != cc) && (localTarget != -1) && currCommIsLocal && targetCommIsLocal) {
#ifdef DEBUG_PRINTF
assert( base < localTarget < bound);
assert( base < cc < bound);
assert( cc - base < localCupdate.size());
assert( localTarget - base < localCupdate.size());
#endif
#pragma omp atomic update
localCupdate[localTarget-base].degree += vDegree[i];
#pragma omp atomic update
localCupdate[localTarget-base].size++;
#pragma omp atomic update
localCupdate[cc-base].degree -= vDegree[i];
#pragma omp atomic update
localCupdate[cc-base].size--;
}
// current is local, target is not - do atomic on local, accumulate in Maps for remote
if ((localTarget != cc) && (localTarget != -1) && currCommIsLocal && !targetCommIsLocal) {
#pragma omp atomic update
localCupdate[cc-base].degree -= vDegree[i];
#pragma omp atomic update
localCupdate[cc-base].size--;
// search target!
std::map<GraphElem,Comm>::iterator iter=remoteCupdate.find(localTarget);
#pragma omp atomic update
iter->second.degree += vDegree[i];
#pragma omp atomic update
iter->second.size++;
}
// current is remote, target is local - accumulate for current, atomic on local
if ((localTarget != cc) && (localTarget != -1) && !currCommIsLocal && targetCommIsLocal) {
#pragma omp atomic update
localCupdate[localTarget-base].degree += vDegree[i];
#pragma omp atomic update
localCupdate[localTarget-base].size++;
// search current
std::map<GraphElem,Comm>::iterator iter=remoteCupdate.find(cc);
#pragma omp atomic update
iter->second.degree -= vDegree[i];
#pragma omp atomic update
iter->second.size--;
}
// current and target are remote - accumulate for both
if ((localTarget != cc) && (localTarget != -1) && !currCommIsLocal && !targetCommIsLocal) {
// search current
std::map<GraphElem,Comm>::iterator iter = remoteCupdate.find(cc);
#pragma omp atomic update
iter->second.degree -= vDegree[i];
#pragma omp atomic update
iter->second.size--;
// search target
iter=remoteCupdate.find(localTarget);
#pragma omp atomic update
iter->second.degree += vDegree[i];
#pragma omp atomic update
iter->second.size++;
}
#ifdef DEBUG_PRINTF
assert(localTarget != -1);
#endif
targetComm[i] = localTarget;
} // distExecuteLouvainIteration
GraphWeight distComputeModularity(const Graph &g, std::vector<Comm> &localCinfo,
const std::vector<GraphWeight> &clusterWeight,
const GraphWeight constantForSecondTerm,
const int me)
{
const GraphElem nv = g.get_lnv();
MPI_Comm gcomm = g.get_comm();
GraphWeight le_la_xx[2];
GraphWeight e_a_xx[2] = {0.0, 0.0};
GraphWeight le_xx = 0.0, la2_x = 0.0;
#ifdef DEBUG_PRINTF
assert((clusterWeight.size() == nv));
#endif
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for default(shared), shared(clusterWeight, localCinfo), \
reduction(+: le_xx), reduction(+: la2_x) schedule(runtime)
#else
#pragma omp parallel for default(shared), shared(clusterWeight, localCinfo), \
reduction(+: le_xx), reduction(+: la2_x) schedule(static)
#endif
for (GraphElem i = 0L; i < nv; i++) {
le_xx += clusterWeight[i];
la2_x += static_cast<GraphWeight>(localCinfo[i].degree) * static_cast<GraphWeight>(localCinfo[i].degree);
}
le_la_xx[0] = le_xx;
le_la_xx[1] = la2_x;
#ifdef DEBUG_PRINTF
const double t0 = MPI_Wtime();
#endif
MPI_Allreduce(le_la_xx, e_a_xx, 2, MPI_WEIGHT_TYPE, MPI_SUM, gcomm);
#ifdef DEBUG_PRINTF
const double t1 = MPI_Wtime();
#endif
GraphWeight currMod = std::fabs((e_a_xx[0] * constantForSecondTerm) -
(e_a_xx[1] * constantForSecondTerm * constantForSecondTerm));
#ifdef DEBUG_PRINTF
std::cout << "[" << me << "]le_xx: " << le_xx << ", la2_x: " << la2_x << std::endl;
std::cout << "[" << me << "]e_xx: " << e_a_xx[0] << ", a2_x: " << e_a_xx[1] << ", currMod: " << currMod << std::endl;
std::cout << "[" << me << "]Reduction time: " << (t1 - t0) << std::endl;
#endif
return currMod;
} // distComputeModularity
void distUpdateLocalCinfo(std::vector<Comm> &localCinfo, const std::vector<Comm> &localCupdate)
{
size_t csz = localCinfo.size();
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp for schedule(runtime)
#else
#pragma omp for schedule(static)
#endif
for (GraphElem i = 0L; i < csz; i++) {
localCinfo[i].size += localCupdate[i].size;
localCinfo[i].degree += localCupdate[i].degree;
}
}
void distCleanCWandCU(const GraphElem nv, std::vector<GraphWeight> &clusterWeight,
std::vector<Comm> &localCupdate)
{
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp for schedule(runtime)
#else
#pragma omp for schedule(static)
#endif
for (GraphElem i = 0L; i < nv; i++) {
clusterWeight[i] = 0;
localCupdate[i].degree = 0;
localCupdate[i].size = 0;
}
} // distCleanCWandCU
#if defined(USE_MPI_RMA)
void fillRemoteCommunities(const Graph &dg, const int me, const int nprocs,
const size_t &ssz, const size_t &rsz, const std::vector<GraphElem> &ssizes,
const std::vector<GraphElem> &rsizes, const std::vector<GraphElem> &svdata,
const std::vector<GraphElem> &rvdata, const std::vector<GraphElem> &currComm,
const std::vector<Comm> &localCinfo, std::map<GraphElem,Comm> &remoteCinfo,
std::unordered_map<GraphElem, GraphElem> &remoteComm, std::map<GraphElem,Comm> &remoteCupdate,
const MPI_Win &commwin, const std::vector<GraphElem> &disp)
#else
void fillRemoteCommunities(const Graph &dg, const int me, const int nprocs,
const size_t &ssz, const size_t &rsz, const std::vector<GraphElem> &ssizes,
const std::vector<GraphElem> &rsizes, const std::vector<GraphElem> &svdata,
const std::vector<GraphElem> &rvdata, const std::vector<GraphElem> &currComm,
const std::vector<Comm> &localCinfo, std::map<GraphElem,Comm> &remoteCinfo,
std::unordered_map<GraphElem, GraphElem> &remoteComm, std::map<GraphElem,Comm> &remoteCupdate)
#endif
{
#if defined(USE_MPI_RMA)
std::vector<GraphElem> scdata(ssz);
#else
std::vector<GraphElem> rcdata(rsz), scdata(ssz);
#endif
GraphElem spos, rpos;
#if defined(REPLACE_STL_UOSET_WITH_VECTOR)
std::vector< std::vector< GraphElem > > rcinfo(nprocs);
#else
std::vector<std::unordered_set<GraphElem> > rcinfo(nprocs);
#endif
#if defined(USE_MPI_SENDRECV)
#else
std::vector<MPI_Request> rreqs(nprocs), sreqs(nprocs);
#endif
#ifdef DEBUG_PRINTF
double t0, t1, ta = 0.0;
#endif
#if defined(USE_MPI_RMA) && !defined(USE_MPI_ACCUMULATE)
int num_comm_procs;
#endif
#if defined(USE_MPI_RMA) && !defined(USE_MPI_ACCUMULATE)
spos = 0;
rpos = 0;
std::vector<int> comm_proc(nprocs);
std::vector<int> comm_proc_buf_disp(nprocs);
/* Initialize all to -1 (unsure if necessary) */
for (int i = 0; i < nprocs; i++) {
comm_proc[i] = -1;
comm_proc_buf_disp[i] = -1;
}
num_comm_procs = 0;
for (int i = 0; i < nprocs; i++) {
if ((i != me) && (ssizes[i] > 0)) {
comm_proc[num_comm_procs] = i;
comm_proc_buf_disp[num_comm_procs] = spos;
num_comm_procs++;
}
spos += ssizes[i];
rpos += rsizes[i];
}
#endif
const GraphElem base = dg.get_base(me), bound = dg.get_bound(me);
const GraphElem nv = dg.get_lnv();
MPI_Comm gcomm = dg.get_comm();
// Collects Communities of local vertices for remote nodes
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for shared(svdata, scdata, currComm) schedule(runtime)
#else
#pragma omp parallel for shared(svdata, scdata, currComm) schedule(static)
#endif
for (GraphElem i = 0; i < ssz; i++) {
const GraphElem vertex = svdata[i];
#ifdef DEBUG_PRINTF
assert((vertex >= base) && (vertex < bound));
#endif
const GraphElem comm = currComm[vertex - base];
scdata[i] = comm;
}
std::vector<GraphElem> rcsizes(nprocs), scsizes(nprocs);
std::vector<CommInfo> sinfo, rinfo;
#ifdef DEBUG_PRINTF
t0 = MPI_Wtime();
#endif
#if !defined(USE_MPI_RMA) || defined(USE_MPI_ACCUMULATE)
spos = 0;
rpos = 0;
#endif
#if defined(USE_MPI_COLLECTIVES)
std::vector<int> scnts(nprocs), rcnts(nprocs), sdispls(nprocs), rdispls(nprocs);
for (int i = 0; i < nprocs; i++) {
scnts[i] = ssizes[i];
rcnts[i] = rsizes[i];
sdispls[i] = spos;
rdispls[i] = rpos;
spos += scnts[i];
rpos += rcnts[i];
}
scnts[me] = 0;
rcnts[me] = 0;
MPI_Alltoallv(scdata.data(), scnts.data(), sdispls.data(),
MPI_GRAPH_TYPE, rcdata.data(), rcnts.data(), rdispls.data(),
MPI_GRAPH_TYPE, gcomm);
#elif defined(USE_MPI_RMA)
#if defined(USE_MPI_ACCUMULATE)
for (int i = 0; i < nprocs; i++) {
if ((i != me) && (ssizes[i] > 0)) {
MPI_Accumulate(scdata.data() + spos, ssizes[i], MPI_GRAPH_TYPE, i,
disp[i], ssizes[i], MPI_GRAPH_TYPE, MPI_REPLACE, commwin);
}
spos += ssizes[i];
rpos += rsizes[i];
}
#else
for (int i = 0; i < num_comm_procs; i++) {
int target_rank = comm_proc[i];
MPI_Put(scdata.data() + comm_proc_buf_disp[i], ssizes[target_rank], MPI_GRAPH_TYPE,
target_rank, disp[target_rank], ssizes[target_rank], MPI_GRAPH_TYPE, commwin);
}
#endif
#elif defined(USE_MPI_SENDRECV)
for (int i = 0; i < nprocs; i++) {
if (i != me)
MPI_Sendrecv(scdata.data() + spos, ssizes[i], MPI_GRAPH_TYPE, i, CommunityTag,
rcdata.data() + rpos, rsizes[i], MPI_GRAPH_TYPE, i, CommunityTag,
gcomm, MPI_STATUSES_IGNORE);
spos += ssizes[i];
rpos += rsizes[i];
}
#else
for (int i = 0; i < nprocs; i++) {
if ((i != me) && (rsizes[i] > 0))
MPI_Irecv(rcdata.data() + rpos, rsizes[i], MPI_GRAPH_TYPE, i,
CommunityTag, gcomm, &rreqs[i]);
else
rreqs[i] = MPI_REQUEST_NULL;
rpos += rsizes[i];
}
for (int i = 0; i < nprocs; i++) {
if ((i != me) && (ssizes[i] > 0))
MPI_Isend(scdata.data() + spos, ssizes[i], MPI_GRAPH_TYPE, i,
CommunityTag, gcomm, &sreqs[i]);
else
sreqs[i] = MPI_REQUEST_NULL;
spos += ssizes[i];
}
MPI_Waitall(nprocs, sreqs.data(), MPI_STATUSES_IGNORE);
MPI_Waitall(nprocs, rreqs.data(), MPI_STATUSES_IGNORE);
#endif
#ifdef DEBUG_PRINTF
t1 = MPI_Wtime();
ta += (t1 - t0);
#endif
// reserve vectors
#if defined(REPLACE_STL_UOSET_WITH_VECTOR)
for (GraphElem i = 0; i < nprocs; i++) {
rcinfo[i].reserve(rpos);
}
#endif
// fetch baseptr from MPI window
#if defined(USE_MPI_RMA)
MPI_Win_flush_all(commwin);
MPI_Barrier(gcomm);
GraphElem *rcbuf = nullptr;
int flag = 0;
MPI_Win_get_attr(commwin, MPI_WIN_BASE, &rcbuf, &flag);
#endif
remoteComm.clear();
for (GraphElem i = 0; i < rpos; i++) {
#if defined(USE_MPI_RMA)
const GraphElem comm = rcbuf[i];
#else
const GraphElem comm = rcdata[i];
#endif
remoteComm.insert(std::unordered_map<GraphElem, GraphElem>::value_type(rvdata[i], comm));
const int tproc = dg.get_owner(comm);
if (tproc != me)
#if defined(REPLACE_STL_UOSET_WITH_VECTOR)
rcinfo[tproc].emplace_back(comm);
#else
rcinfo[tproc].insert(comm);
#endif
}
for (GraphElem i = 0; i < nv; i++) {
const GraphElem comm = currComm[i];
const int tproc = dg.get_owner(comm);
if (tproc != me)
#if defined(REPLACE_STL_UOSET_WITH_VECTOR)
rcinfo[tproc].emplace_back(comm);
#else
rcinfo[tproc].insert(comm);
#endif
}
#ifdef DEBUG_PRINTF
t0 = MPI_Wtime();
#endif
GraphElem stcsz = 0, rtcsz = 0;
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for shared(scsizes, rcinfo) \
reduction(+:stcsz) schedule(runtime)
#else
#pragma omp parallel for shared(scsizes, rcinfo) \
reduction(+:stcsz) schedule(static)
#endif
for (int i = 0; i < nprocs; i++) {
scsizes[i] = rcinfo[i].size();
stcsz += scsizes[i];
}
MPI_Alltoall(scsizes.data(), 1, MPI_GRAPH_TYPE, rcsizes.data(),
1, MPI_GRAPH_TYPE, gcomm);
#ifdef DEBUG_PRINTF
t1 = MPI_Wtime();
ta += (t1 - t0);
#endif
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for shared(rcsizes) \
reduction(+:rtcsz) schedule(runtime)
#else
#pragma omp parallel for shared(rcsizes) \
reduction(+:rtcsz) schedule(static)
#endif
for (int i = 0; i < nprocs; i++) {
rtcsz += rcsizes[i];
}
#ifdef DEBUG_PRINTF
std::cout << "[" << me << "]Total communities to receive: " << rtcsz << std::endl;
#endif
#if defined(USE_MPI_COLLECTIVES)
std::vector<GraphElem> rcomms(rtcsz), scomms(stcsz);
#else
#if defined(REPLACE_STL_UOSET_WITH_VECTOR)
std::vector<GraphElem> rcomms(rtcsz);
#else
std::vector<GraphElem> rcomms(rtcsz), scomms(stcsz);
#endif
#endif
sinfo.resize(rtcsz);
rinfo.resize(stcsz);
#ifdef DEBUG_PRINTF
t0 = MPI_Wtime();
#endif
spos = 0;
rpos = 0;
#if defined(USE_MPI_COLLECTIVES)
for (int i = 0; i < nprocs; i++) {
if (i != me) {
std::copy(rcinfo[i].begin(), rcinfo[i].end(), scomms.data() + spos);
}
scnts[i] = scsizes[i];
rcnts[i] = rcsizes[i];
sdispls[i] = spos;
rdispls[i] = rpos;
spos += scnts[i];
rpos += rcnts[i];
}
scnts[me] = 0;
rcnts[me] = 0;
MPI_Alltoallv(scomms.data(), scnts.data(), sdispls.data(),
MPI_GRAPH_TYPE, rcomms.data(), rcnts.data(), rdispls.data(),
MPI_GRAPH_TYPE, gcomm);
for (int i = 0; i < nprocs; i++) {
if (i != me) {
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for default(none), shared(rcsizes, rcomms, localCinfo, sinfo, rdispls), \
firstprivate(i, base), schedule(runtime) , if(rcsizes[i] >= 1000)
#else
#pragma omp parallel for default(none), shared(rcsizes, rcomms, localCinfo, sinfo, rdispls), \
firstprivate(i, base), schedule(guided) , if(rcsizes[i] >= 1000)
#endif
for (GraphElem j = 0; j < rcsizes[i]; j++) {
const GraphElem comm = rcomms[rdispls[i] + j];
sinfo[rdispls[i] + j] = {comm, localCinfo[comm-base].size, localCinfo[comm-base].degree};
}
}
}
MPI_Alltoallv(sinfo.data(), rcnts.data(), rdispls.data(),
commType, rinfo.data(), scnts.data(), sdispls.data(),
commType, gcomm);
#else
#if !defined(USE_MPI_SENDRECV)
std::vector<MPI_Request> rcreqs(nprocs);
#endif
for (int i = 0; i < nprocs; i++) {
if (i != me) {
#if defined(USE_MPI_SENDRECV)
#if defined(REPLACE_STL_UOSET_WITH_VECTOR)
MPI_Sendrecv(rcinfo[i].data(), scsizes[i], MPI_GRAPH_TYPE, i, CommunityTag,
rcomms.data() + rpos, rcsizes[i], MPI_GRAPH_TYPE, i, CommunityTag,
gcomm, MPI_STATUSES_IGNORE);
#else
std::copy(rcinfo[i].begin(), rcinfo[i].end(), scomms.data() + spos);
MPI_Sendrecv(scomms.data() + spos, scsizes[i], MPI_GRAPH_TYPE, i, CommunityTag,
rcomms.data() + rpos, rcsizes[i], MPI_GRAPH_TYPE, i, CommunityTag,
gcomm, MPI_STATUSES_IGNORE);
#endif
#else
if (rcsizes[i] > 0) {
MPI_Irecv(rcomms.data() + rpos, rcsizes[i], MPI_GRAPH_TYPE, i,
CommunityTag, gcomm, &rreqs[i]);
}
else
rreqs[i] = MPI_REQUEST_NULL;
if (scsizes[i] > 0) {
#if defined(REPLACE_STL_UOSET_WITH_VECTOR)
MPI_Isend(rcinfo[i].data(), scsizes[i], MPI_GRAPH_TYPE, i,
CommunityTag, gcomm, &sreqs[i]);
#else
std::copy(rcinfo[i].begin(), rcinfo[i].end(), scomms.data() + spos);
MPI_Isend(scomms.data() + spos, scsizes[i], MPI_GRAPH_TYPE, i,
CommunityTag, gcomm, &sreqs[i]);
#endif
}
else
sreqs[i] = MPI_REQUEST_NULL;
#endif
}
else {
#if !defined(USE_MPI_SENDRECV)
rreqs[i] = MPI_REQUEST_NULL;
sreqs[i] = MPI_REQUEST_NULL;
#endif
}
rpos += rcsizes[i];
spos += scsizes[i];
}
spos = 0;
rpos = 0;
// poke progress on last isend/irecvs
#if !defined(USE_MPI_COLLECTIVES) && !defined(USE_MPI_SENDRECV) && defined(POKE_PROGRESS_FOR_COMMUNITY_SENDRECV_IN_LOOP)
int tf = 0, id = 0;
MPI_Testany(nprocs, sreqs.data(), &id, &tf, MPI_STATUS_IGNORE);
#endif
#if !defined(USE_MPI_COLLECTIVES) && !defined(USE_MPI_SENDRECV) && !defined(POKE_PROGRESS_FOR_COMMUNITY_SENDRECV_IN_LOOP)
MPI_Waitall(nprocs, sreqs.data(), MPI_STATUSES_IGNORE);
MPI_Waitall(nprocs, rreqs.data(), MPI_STATUSES_IGNORE);
#endif
for (int i = 0; i < nprocs; i++) {
if (i != me) {
#if defined(USE_MPI_SENDRECV)
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for default(none), shared(rcsizes, rcomms, localCinfo, sinfo), \
firstprivate(i, rpos, base), schedule(runtime) , if(rcsizes[i] >= 1000)
#else
#pragma omp parallel for default(none), shared(rcsizes, rcomms, localCinfo, sinfo), \
firstprivate(i, rpos, base), schedule(guided) , if(rcsizes[i] >= 1000)
#endif
for (GraphElem j = 0; j < rcsizes[i]; j++) {
const GraphElem comm = rcomms[rpos + j];
sinfo[rpos + j] = {comm, localCinfo[comm-base].size, localCinfo[comm-base].degree};
}
MPI_Sendrecv(sinfo.data() + rpos, rcsizes[i], commType, i, CommunityDataTag,
rinfo.data() + spos, scsizes[i], commType, i, CommunityDataTag,
gcomm, MPI_STATUSES_IGNORE);
#else
if (scsizes[i] > 0) {
MPI_Irecv(rinfo.data() + spos, scsizes[i], commType, i, CommunityDataTag,
gcomm, &rcreqs[i]);
}
else
rcreqs[i] = MPI_REQUEST_NULL;
// poke progress on last isend/irecvs
#if defined(POKE_PROGRESS_FOR_COMMUNITY_SENDRECV_IN_LOOP)
int flag = 0, done = 0;
while (!done) {
MPI_Test(&sreqs[i], &flag, MPI_STATUS_IGNORE);
MPI_Test(&rreqs[i], &flag, MPI_STATUS_IGNORE);
if (flag)
done = 1;
}
#endif
#ifdef OMP_SCHEDULE_RUNTIME
#pragma omp parallel for default(shared), shared(rcsizes, rcomms, localCinfo, sinfo), \
firstprivate(i, rpos, base), schedule(runtime) , if(rcsizes[i] >= 1000)
#else
#pragma omp parallel for default(shared), shared(rcsizes, rcomms, localCinfo, sinfo), \
firstprivate(i, rpos, base), schedule(guided) , if(rcsizes[i] >= 1000)
#endif
for (GraphElem j = 0; j < rcsizes[i]; j++) {
const GraphElem comm = rcomms[rpos + j];
sinfo[rpos + j] = {comm, localCinfo[comm-base].size, localCinfo[comm-base].degree};
}
if (rcsizes[i] > 0) {
MPI_Isend(sinfo.data() + rpos, rcsizes[i], commType, i,
CommunityDataTag, gcomm, &sreqs[i]);
}
else
sreqs[i] = MPI_REQUEST_NULL;
#endif
}
else {
#if !defined(USE_MPI_SENDRECV)
rcreqs[i] = MPI_REQUEST_NULL;
sreqs[i] = MPI_REQUEST_NULL;
#endif
}
rpos += rcsizes[i];
spos += scsizes[i];
}
#if !defined(USE_MPI_SENDRECV)
MPI_Waitall(nprocs, sreqs.data(), MPI_STATUSES_IGNORE);
MPI_Waitall(nprocs, rcreqs.data(), MPI_STATUSES_IGNORE);
#endif
#endif
#ifdef DEBUG_PRINTF
t1 = MPI_Wtime();
ta += (t1 - t0);
#endif
remoteCinfo.clear();
remoteCupdate.clear();
for (GraphElem i = 0; i < stcsz; i++) {
const GraphElem ccomm = rinfo[i].community;
Comm comm;
comm.size = rinfo[i].size;
comm.degree = rinfo[i].degree;
remoteCinfo.insert(std::map<GraphElem,Comm>::value_type(ccomm, comm));
remoteCupdate.insert(std::map<GraphElem,Comm>::value_type(ccomm, Comm()));
}
} // end fillRemoteCommunities
void createCommunityMPIType()
{
CommInfo cinfo;
MPI_Aint begin, community, size, degree;
MPI_Get_address(&cinfo, &begin);
MPI_Get_address(&cinfo.community, &community);
MPI_Get_address(&cinfo.size, &size);
MPI_Get_address(&cinfo.degree, °ree);
int blens[] = { 1, 1, 1 };
MPI_Aint displ[] = { community - begin, size - begin, degree - begin };
MPI_Datatype types[] = { MPI_GRAPH_TYPE, MPI_GRAPH_TYPE, MPI_WEIGHT_TYPE };
MPI_Type_create_struct(3, blens, displ, types, &commType);
MPI_Type_commit(&commType);
} // createCommunityMPIType
void destroyCommunityMPIType()
{
MPI_Type_free(&commType);
} // destroyCommunityMPIType
void updateRemoteCommunities(const Graph &dg, std::vector<Comm> &localCinfo,
const std::map<GraphElem,Comm> &remoteCupdate,
const int me, const int nprocs)
{
const GraphElem base = dg.get_base(me), bound = dg.get_bound(me);
std::vector<std::vector<CommInfo>> remoteArray(nprocs);
MPI_Comm gcomm = dg.get_comm();
// FIXME TODO can we use TBB::concurrent_vector instead,
// to make this parallel; first we have to get rid of maps
for (std::map<GraphElem,Comm>::const_iterator iter = remoteCupdate.begin(); iter != remoteCupdate.end(); iter++) {
const GraphElem i = iter->first;
const Comm &curr = iter->second;
const int tproc = dg.get_owner(i);
#ifdef DEBUG_PRINTF
assert(tproc != me);
#endif
CommInfo rcinfo;
rcinfo.community = i;
rcinfo.size = curr.size;