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Threaded calls to multiple communicators
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paboyle
260
lib/communicator/Communicator_mpit.cc
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260
lib/communicator/Communicator_mpit.cc
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/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./lib/communicator/Communicator_mpi.cc
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Copyright (C) 2015
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License along
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with this program; if not, write to the Free Software Foundation, Inc.,
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51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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See the full license in the file "LICENSE" in the top level distribution directory
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*************************************************************************************/
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/* END LEGAL */
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#include <Grid/GridCore.h>
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#include <Grid/GridQCDcore.h>
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#include <Grid/qcd/action/ActionCore.h>
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#include <mpi.h>
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namespace Grid {
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///////////////////////////////////////////////////////////////////////////////////////////////////
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// Info that is setup once and indept of cartesian layout
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///////////////////////////////////////////////////////////////////////////////////////////////////
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MPI_Comm CartesianCommunicator::communicator_world;
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// Should error check all MPI calls.
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void CartesianCommunicator::Init(int *argc, char ***argv) {
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int flag;
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int provided;
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MPI_Initialized(&flag); // needed to coexist with other libs apparently
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if ( !flag ) {
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MPI_Init_thread(argc,argv,MPI_THREAD_MULTIPLE,&provided);
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if ( provided != MPI_THREAD_MULTIPLE ) {
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QCD::WilsonKernelsStatic::Comms = QCD::WilsonKernelsStatic::CommsThenCompute;
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}
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}
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MPI_Comm_dup (MPI_COMM_WORLD,&communicator_world);
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ShmInitGeneric();
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}
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CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
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{
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_ndimension = processors.size();
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std::vector<int> periodic(_ndimension,1);
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_Nprocessors=1;
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_processors = processors;
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_processor_coor.resize(_ndimension);
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MPI_Cart_create(communicator_world, _ndimension,&_processors[0],&periodic[0],1,&communicator);
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MPI_Comm_rank(communicator,&_processor);
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MPI_Cart_coords(communicator,_processor,_ndimension,&_processor_coor[0]);
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for(int i=0;i<_ndimension;i++){
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_Nprocessors*=_processors[i];
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}
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communicator_halo.resize (2*_ndimension);
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for(int i=0;i<_ndimension*2;i++){
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MPI_Comm_dup(communicator,&communicator_halo[i]);
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}
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int Size;
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MPI_Comm_size(communicator,&Size);
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assert(Size==_Nprocessors);
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}
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void CartesianCommunicator::GlobalSum(uint32_t &u){
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int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator);
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assert(ierr==0);
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}
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void CartesianCommunicator::GlobalSum(uint64_t &u){
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int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_SUM,communicator);
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assert(ierr==0);
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}
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void CartesianCommunicator::GlobalXOR(uint32_t &u){
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int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_BXOR,communicator);
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assert(ierr==0);
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}
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void CartesianCommunicator::GlobalXOR(uint64_t &u){
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int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_BXOR,communicator);
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assert(ierr==0);
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}
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void CartesianCommunicator::GlobalSum(float &f){
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int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator);
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assert(ierr==0);
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}
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void CartesianCommunicator::GlobalSumVector(float *f,int N)
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{
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int ierr=MPI_Allreduce(MPI_IN_PLACE,f,N,MPI_FLOAT,MPI_SUM,communicator);
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assert(ierr==0);
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}
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void CartesianCommunicator::GlobalSum(double &d)
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{
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int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_SUM,communicator);
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assert(ierr==0);
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}
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void CartesianCommunicator::GlobalSumVector(double *d,int N)
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{
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int ierr = MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator);
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assert(ierr==0);
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}
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void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest)
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{
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int ierr=MPI_Cart_shift(communicator,dim,shift,&source,&dest);
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assert(ierr==0);
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}
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int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor)
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{
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int rank;
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int ierr=MPI_Cart_rank (communicator, &coor[0], &rank);
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assert(ierr==0);
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return rank;
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}
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void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor)
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{
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coor.resize(_ndimension);
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int ierr=MPI_Cart_coords (communicator, rank, _ndimension,&coor[0]);
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assert(ierr==0);
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}
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// Basic Halo comms primitive
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void CartesianCommunicator::SendToRecvFrom(void *xmit,
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int dest,
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void *recv,
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int from,
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int bytes)
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{
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std::vector<CommsRequest_t> reqs(0);
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SendToRecvFromBegin(reqs,xmit,dest,recv,from,bytes);
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SendToRecvFromComplete(reqs);
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}
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void CartesianCommunicator::SendRecvPacket(void *xmit,
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void *recv,
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int sender,
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int receiver,
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int bytes)
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{
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MPI_Status stat;
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assert(sender != receiver);
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int tag = sender;
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if ( _processor == sender ) {
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MPI_Send(xmit, bytes, MPI_CHAR,receiver,tag,communicator);
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}
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if ( _processor == receiver ) {
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MPI_Recv(recv, bytes, MPI_CHAR,sender,tag,communicator,&stat);
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}
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}
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// Basic Halo comms primitive
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void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
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void *xmit,
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int dest,
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void *recv,
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int from,
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int bytes)
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{
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int myrank = _processor;
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int ierr;
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if ( CommunicatorPolicy == CommunicatorPolicyConcurrent ) {
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MPI_Request xrq;
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MPI_Request rrq;
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ierr =MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator,&rrq);
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ierr|=MPI_Isend(xmit, bytes, MPI_CHAR,dest,_processor,communicator,&xrq);
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assert(ierr==0);
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list.push_back(xrq);
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list.push_back(rrq);
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} else {
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// Give the CPU to MPI immediately; can use threads to overlap optionally
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ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,dest,myrank,
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recv,bytes,MPI_CHAR,from, from,
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communicator,MPI_STATUS_IGNORE);
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assert(ierr==0);
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}
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}
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void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
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{
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if ( CommunicatorPolicy == CommunicatorPolicyConcurrent ) {
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int nreq=list.size();
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std::vector<MPI_Status> status(nreq);
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int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
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assert(ierr==0);
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}
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}
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void CartesianCommunicator::Barrier(void)
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{
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int ierr = MPI_Barrier(communicator);
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assert(ierr==0);
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}
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void CartesianCommunicator::Broadcast(int root,void* data, int bytes)
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{
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int ierr=MPI_Bcast(data,
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bytes,
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MPI_BYTE,
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root,
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communicator);
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assert(ierr==0);
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}
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///////////////////////////////////////////////////////
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// Should only be used prior to Grid Init finished.
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// Check for this?
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///////////////////////////////////////////////////////
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int CartesianCommunicator::RankWorld(void){
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int r;
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MPI_Comm_rank(communicator_world,&r);
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return r;
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}
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void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
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{
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int ierr= MPI_Bcast(data,
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bytes,
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MPI_BYTE,
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root,
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communicator_world);
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assert(ierr==0);
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}
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double CartesianCommunicator::StencilSendToRecvFromBegin(int dir,
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std::vector<CommsRequest_t> &list,
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void *xmit,
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int xmit_to_rank,
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void *recv,
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int recv_from_rank,
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int bytes)
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{
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int myrank = _processor;
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int ierr;
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// Give the CPU to MPI immediately; can use threads to overlap optionally
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ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,dest,myrank,
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recv,bytes,MPI_CHAR,from, from,
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communicator_halo[dir],MPI_STATUS_IGNORE);
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assert(ierr==0);
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return 2.0*bytes;
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}
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void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall){ };
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}
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