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* [4] Vardeman & Gezelter, in progress (2009). |
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*/ |
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|
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< |
#ifndef FORCEDECOMPOSITION_COMMUNICATOR_HPP |
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< |
#define FORCEDECOMPOSITION_COMMUNICATOR_HPP |
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> |
#ifndef PARALLEL_COMMUNICATOR_HPP |
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> |
#define PARALLEL_COMMUNICATOR_HPP |
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#include <config.h> |
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#include <mpi.h> |
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#ifdef IS_MPI |
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|
60 |
< |
enum direction { |
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< |
I = 0, |
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< |
J = 1 |
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> |
enum communicatorType { |
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> |
Global = 0, |
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> |
Row = 1, |
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> |
Column = 2 |
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}; |
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|
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template<typename T> |
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template<> const MPI::Datatype MPITraits<Mat3x3d>::datatype = MPI_REALTYPE; |
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template<> const int MPITraits<Mat3x3d>::dim = 9; |
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|
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< |
template<direction D, typename T> |
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< |
class Comm { |
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> |
template<communicatorType D, typename T> |
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> |
class Communicator { |
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public: |
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|
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< |
Comm<D, T>(int nObjects) { |
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> |
Communicator<D, T>(int nObjects) { |
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|
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int nProc = MPI::COMM_WORLD.Get_size(); |
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int myRank = MPI::COMM_WORLD.Get_rank(); |
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rowIndex_ = myRank / nColumns; |
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columnIndex_ = myRank % nColumns; |
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|
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< |
if (D == I) { |
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> |
switch(D) { |
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> |
case Row : |
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myComm = MPI::COMM_WORLD.Split(rowIndex_, 0); |
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< |
} else { |
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> |
break; |
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> |
case Column: |
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myComm = MPI::COMM_WORLD.Split(columnIndex_, 0); |
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+ |
break; |
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+ |
case Global: |
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+ |
myComm = MPI::COMM_WORLD.Split(myRank, 0); |
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} |
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|
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int nCommProcs = myComm.Get_size(); |
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displacements[0] = 0; |
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for (int i = 1; i < nCommProcs; i++) { |
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displacements[i] = displacements[i-1] + counts[i-1]; |
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< |
} |
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> |
size_ += counts[i-1]; |
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> |
} |
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> |
|
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> |
size_ = 0; |
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> |
for (int i = 0; i < nCommProcs; i++) { |
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> |
size_ += counts[i]; |
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> |
} |
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} |
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|
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myComm.Reduce_scatter(&v1[0], &v2[0], &counts[0], |
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MPITraits<T>::datatype, MPI::SUM); |
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} |
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+ |
|
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+ |
int getSize() { |
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+ |
return size_; |
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+ |
} |
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|
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private: |
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int planSize_; ///< how many are on local proc |
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int rowIndex_; |
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int columnIndex_; |
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+ |
int size_; |
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std::vector<int> counts; |
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std::vector<int> displacements; |
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MPI::Intracomm myComm; |