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https://github.com/paboyle/Grid.git
synced 2025-06-13 04:37:05 +01:00
Added a comms benchmark
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@ -21,6 +21,9 @@ class CartesianCommunicator {
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#ifdef GRID_COMMS_MPI
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MPI_Comm communicator;
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typedef MPI_Request CommsRequest_t;
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#else
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typedef int CommsRequest_t;
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#endif
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// Constructor
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@ -77,13 +80,20 @@ class CartesianCommunicator {
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GlobalSumVector(ptr,words);
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}
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////////////////////////////////////////////////////////////
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// Face exchange
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// Face exchange, buffer swap in translational invariant way
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////////////////////////////////////////////////////////////
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void SendToRecvFrom(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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void SendToRecvFromBegin(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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void SendToRecvFromComplete(std::vector<CommsRequest_t> &waitall);
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////////////////////////////////////////////////////////////
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// Barrier
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@ -20,7 +20,7 @@ void CartesianCommunicator::GlobalSum(double &){}
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void CartesianCommunicator::GlobalSum(uint32_t &){}
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void CartesianCommunicator::GlobalSumVector(double *,int N){}
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// Basic Halo comms primitive
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// Basic Halo comms primitive -- should never call in single node
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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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@ -29,6 +29,19 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
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{
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exit(-1);
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}
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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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exit(-1);
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}
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void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
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{
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exit(-1);
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}
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void CartesianCommunicator::Barrier(void)
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{
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@ -29,37 +29,45 @@ CartesianCommunicator::CartesianCommunicator(std::vector<int> &processors)
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}
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void CartesianCommunicator::GlobalSum(uint32_t &u){
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MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator);
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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(float &f){
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MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator);
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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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MPI_Allreduce(MPI_IN_PLACE,f,N,MPI_FLOAT,MPI_SUM,communicator);
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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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MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_SUM,communicator);
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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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MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator);
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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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MPI_Cart_shift(communicator,dim,shift,&source,&dest);
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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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MPI_Cart_rank (communicator, &coor[0], &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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MPI_Cart_coords (communicator, rank, _ndimension,&coor[0]);
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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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@ -69,36 +77,64 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
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int from,
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int bytes)
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{
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MPI_Request reqs[2];
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MPI_Status OkeyDokey[2];
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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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// 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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MPI_Request xrq;
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MPI_Request rrq;
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int rank = _processor;
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MPI_Isend(xmit, bytes, MPI_CHAR,dest,_processor,communicator,&reqs[0]);
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MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator,&reqs[1]);
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MPI_Waitall(2,reqs,OkeyDokey);
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int ierr;
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ierr=MPI_Isend(xmit, bytes, MPI_CHAR,dest,_processor,communicator,&xrq);
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ierr|=MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator,&rrq);
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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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}
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void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
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{
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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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void CartesianCommunicator::Barrier(void)
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{
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MPI_Barrier(communicator);
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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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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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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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void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
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{
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MPI_Bcast(data,
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bytes,
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MPI_BYTE,
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root,
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MPI_COMM_WORLD);
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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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MPI_COMM_WORLD);
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assert(ierr==0);
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}
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}
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