int fei::Vector_Impl<T>::putScalar(double scalar)
{
if (output_level_ >= fei::BRIEF_LOGS && output_stream_ != NULL) {
FEI_OSTREAM& os = *output_stream_;
os << dbgprefix_<<"putScalar("<<scalar<<")"<<FEI_ENDL;
}
if (haveFEVector()) {
if (scalar != 0.0) return(-1);
CHK_ERR( snl_fei::FEVectorTraits<T>::reset(vector_) );
}
else {
CHK_ERR( fei::VectorTraits<T>::setValues(vector_, firstLocalOffset(), scalar) );
}
for(unsigned p=0; p<remotelyOwned().size(); ++p) {
fei::set_values(*(remotelyOwned()[p]), scalar);
}
return(0);
}
int fei::Vector_core::gatherFromOverlap(bool accumulate)
{
if (fei::numProcs(comm_) == 1 || haveFEVector()) {
return(0);
}
#ifndef FEI_SER
//first create the list of procs we'll be sending to.
std::vector<int> sendProcs;
for(unsigned i=0; i<remotelyOwned_.size(); ++i) {
if ((int)i == fei::localProc(comm_)) continue;
if (remotelyOwned_[i]->size() == 0) continue;
sendProcs.push_back(i);
}
std::vector<int> recvProcs;
fei::mirrorProcs(comm_, sendProcs, recvProcs);
//declare arrays to hold the indices and coefs we'll be receiving.
std::vector<std::vector<int> > recv_ints(recvProcs.size());
std::vector<std::vector<double> > recv_doubles(recvProcs.size());
std::vector<int> recv_sizes(recvProcs.size());
std::vector<MPI_Request> mpiReqs(recvProcs.size()*2);
std::vector<MPI_Status> mpiStatuses(recvProcs.size()*2);
int tag1 = 11111;
int tag2 = 11112;
//post the recvs for the sizes.
for(size_t i=0; i<recvProcs.size(); ++i) {
int proc = recvProcs[i];
MPI_Irecv(&recv_sizes[i], 1, MPI_INT, proc,
tag1, comm_, &mpiReqs[i]);
}
//send the sizes of data we'll be sending.
for(unsigned i=0; i<sendProcs.size(); ++i) {
int proc = sendProcs[i];
int size = remotelyOwned_[proc]->size();
MPI_Send(&size, 1, MPI_INT, proc, tag1, comm_);
}
if (recvProcs.size() > 0) {
MPI_Waitall(recvProcs.size(), &mpiReqs[0], &mpiStatuses[0]);
}
//now post the recvs for the data.
unsigned offset = 0;
for(size_t i=0; i<recvProcs.size(); ++i) {
int proc = recvProcs[i];
int size = recv_sizes[i];
std::vector<int>& recv_ints_i = recv_ints[i];
std::vector<double>& recv_doubles_i = recv_doubles[i];
recv_ints_i.resize(size);
recv_doubles_i.resize(size);
MPI_Irecv(&(recv_ints_i[0]), size, MPI_INT, proc,
tag1, comm_, &mpiReqs[offset++]);
MPI_Irecv(&(recv_doubles_i[0]), size, MPI_DOUBLE, proc,
tag2, comm_, &mpiReqs[offset++]);
}
//now send the outgoing data.
for(size_t i=0; i<sendProcs.size(); ++i) {
int proc = sendProcs[i];
int size = remotelyOwned_[proc]->size();
int* indices = &(remotelyOwned_[proc]->indices())[0];
MPI_Send(indices, size, MPI_INT, proc, tag1, comm_);
double* coefs = &(remotelyOwned_[proc]->coefs())[0];
MPI_Send(coefs, size, MPI_DOUBLE, proc, tag2, comm_);
fei::set_values(*remotelyOwned_[proc], 0.0);
}
if (recvProcs.size() > 0) {
MPI_Waitall(recvProcs.size()*2, &mpiReqs[0], &mpiStatuses[0]);
}
//now store the data we've received.
for(size_t i=0; i<recvProcs.size(); ++i) {
int num = recv_sizes[i];
std::vector<int>& recv_ints_i = recv_ints[i];
std::vector<double>& recv_doubles_i = recv_doubles[i];
int err = giveToUnderlyingVector(num, &(recv_ints_i[0]),
&(recv_doubles_i[0]), accumulate, 0);
if (err != 0) {
FEI_COUT << "fei::Vector_core::gatherFromOverlap ERROR storing recvd data" << FEI_ENDL;
return(err);
}
}
#endif //#ifndef FEI_SER
return(0);
}
int fei::Vector_core::scatterToOverlap()
{
if (fei::numProcs(comm_) == 1 || haveFEVector()) {
return(0);
}
#ifndef FEI_SER
if (!overlapAlreadySet_) {
setOverlap();
}
//...and now the overlap is whatever is in our remotelyOwned_ vectors.
//first find out which procs we'll be receiving from.
std::vector<int> recvProcs;
for(unsigned i=0; i<remotelyOwned_.size(); ++i) {
if ((int)i == fei::localProc(comm_)) continue;
if (remotelyOwned_[i]->size() == 0) continue;
recvProcs.push_back((int)i);
}
//find out the send-procs.
std::vector<int> sendProcs;
fei::mirrorProcs(comm_, recvProcs, sendProcs);
//declare arrays to send from, and corresponding sizes
std::vector<std::vector<int> > send_ints(sendProcs.size());
std::vector<std::vector<double> > send_doubles(sendProcs.size());
std::vector<int> send_sizes(sendProcs.size());
std::vector<MPI_Request> mpiReqs(sendProcs.size()+recvProcs.size());
std::vector<MPI_Status> mpiStatuses(sendProcs.size()+recvProcs.size());
int tag1 = 11111;
int tag2 = 11112;
//first, the procs we're going to send to, have to let us know
//how much data we're supposed to send. So we have to receive
//sizes and then indices from the "send"-procs.
for(unsigned i=0; i<sendProcs.size(); ++i) {
MPI_Irecv(&send_sizes[i], 1, MPI_INT, sendProcs[i],
tag1, comm_, &mpiReqs[i]);
}
//now we'll send the sizes of our remotely-owned data to the
//procs that we will be receiving the data from, and also the
//indices that we want to receive.
for(unsigned i=0; i<recvProcs.size(); ++i) {
int proc = recvProcs[i];
int size = remotelyOwned_[proc]->size();
MPI_Send(&size, 1, MPI_INT, proc, tag1, comm_);
}
MPI_Waitall(sendProcs.size(), &mpiReqs[0], &mpiStatuses[0]);
//now resize our send_ints and send_doubles arrays, and post the recvs
//for indices that we're supposed to pack.
for(unsigned i=0; i<sendProcs.size(); ++i) {
int proc = sendProcs[i];
int size = send_sizes[i];
send_ints[i].resize(size);
MPI_Irecv(&(send_ints[i][0]), size, MPI_INT, proc, tag1,
comm_, &mpiReqs[i]);
send_doubles[i].resize(size);
}
//now send the indices that we want to receive data for.
for(unsigned i=0; i<recvProcs.size(); ++i) {
int proc = recvProcs[i];
int size = remotelyOwned_[proc]->size();
int* indices = &(remotelyOwned_[proc]->indices())[0];
MPI_Send(indices, size, MPI_INT, proc, tag1, comm_);
}
MPI_Waitall(sendProcs.size(), &mpiReqs[0], &mpiStatuses[0]);
//now post our recvs.
for(unsigned i=0; i<recvProcs.size(); ++i) {
int proc = recvProcs[i];
int size = remotelyOwned_[proc]->size();
double* coefs = &(remotelyOwned_[proc]->coefs())[0];
MPI_Irecv(coefs, size, MPI_DOUBLE, proc, tag2, comm_, &mpiReqs[i]);
}
//now pack and send the coefs that the other procs need from us.
for(unsigned i=0; i<sendProcs.size(); ++i) {
int proc = sendProcs[i];
int num = send_sizes[i];
int err = copyOutOfUnderlyingVector(num, &(send_ints[i][0]),
&(send_doubles[i][0]), 0);
if (err != 0) {
FEI_COUT << "fei::Vector_core::scatterToOverlap ERROR getting data to send."<<FEI_ENDL;
return(err);
}
MPI_Send(&(send_doubles[i][0]), num, MPI_DOUBLE, proc,
tag2, comm_);
}
MPI_Waitall(recvProcs.size(), &mpiReqs[0], &mpiStatuses[0]);
#endif //#ifndef FEI_SER
return(0);
}
int fei::Vector_core::gatherFromOverlap(bool accumulate)
{
if (fei::numProcs(comm_) == 1 || haveFEVector()) {
return(0);
}
#ifndef FEI_SER
std::vector<MPI_Request> mpiReqs;
int tag1 = 11111;
if (sendRecvProcsNeedUpdated_) {
setCommSizes();
}
mpiReqs.resize(recvProcs_.size());
//now post the recvs for the data.
for(size_t i=0; i<recvProcs_.size(); ++i) {
MPI_Irecv(&(recv_chars_[i][0]), recv_sizes_[i], MPI_CHAR, recvProcs_[i],
tag1, comm_, &mpiReqs[i]);
}
bool resize_buffer = false;
bool zero_remotely_owned_after_packing = true;
pack_send_buffers(sendProcs_, remotelyOwned_, send_chars_,
resize_buffer, zero_remotely_owned_after_packing);
//now send the outgoing data.
for(size_t i=0; i<sendProcs_.size(); ++i) {
int proc = sendProcs_[i];
int size = send_chars_[i].size();
MPI_Send(&(send_chars_[i][0]), size, MPI_CHAR, proc, tag1, comm_);
}
int numRecvProcs = recvProcs_.size();
for(size_t i=0; i<recvProcs_.size(); ++i) {
int index;
MPI_Status status;
MPI_Waitany(numRecvProcs, &mpiReqs[0], &index, &status);
}
std::vector<int> indices;
std::vector<double> coefs;
//now store the data we've received.
for(size_t i=0; i<recvProcs_.size(); ++i) {
fei::impl_utils::unpack_indices_coefs(recv_chars_[i], indices, coefs);
int num = indices.size();
if (num == 0) continue;
int err = giveToUnderlyingVector(num, &(indices[0]),
&(coefs[0]), accumulate, 0);
if (err != 0) {
// FEI_COUT << "fei::Vector_core::gatherFromOverlap ERROR storing recvd data" << FEI_ENDL;
return(err);
}
}
#endif //#ifndef FEI_SER
return(0);
}
