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3845f267cb
Tanh/Zolo * (Cayley/PartFrac/ContFrac) * (Mobius/Shamir/Wilson) Approx Representation Kernel. All are done with space-time taking part in checkerboarding, Ls uncheckerboarded Have only so far tested the Domain Wall limit of mobius, and at that only checked that it i) Inverts ii) 5dim DW == Ls copies of 4dim D2 iii) MeeInv Mee == 1 iv) Meo+Mee+Moe+Moo == M unprec. v) MpcDagMpc is hermitan vi) Mdag is the adjoint of M between stochastic vectors. That said, the RB schur solve, RB MpcDagMpc solve, Unprec solve all converge and the true residual becomes small; so pretty good tests.
142 lines
3.5 KiB
C++
142 lines
3.5 KiB
C++
#include "Grid.h"
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#include <mpi.h>
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namespace Grid {
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// Should error check all MPI calls.
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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(MPI_COMM_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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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(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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// 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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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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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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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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MPI_COMM_WORLD);
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assert(ierr==0);
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}
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}
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