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/*
************************************************************************
Isorropia: Partitioning and Load Balancing Package
Copyright (2006) Sandia Corporation
Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
license for use of this work by or on behalf of the U.S. Government.
This library is free software; you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as
published by the Free Software Foundation; either version 2.1 of the
License, or (at your option) any later version.
This library is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
USA
************************************************************************
*/
//@HEADER
#ifndef _Isorropia_EpetraPartitioner_hpp_
#define _Isorropia_EpetraPartitioner_hpp_
/*! \file Isorropia_EpetraPartitioner.hpp
*
* \brief Contains functionality used for partitioning Epetra
* matrices, maps, multivectors, etc.
*/
/** \example matrix_1.cpp
*
* This example demonstrates creating a balanced copy of Epetra_CrsGraph and
* Epetra_CrsMatrix objects using Isorropia::Epetra::createBalancedCopy functions.
*
*/
/** \example geometric/example_rcb.cpp
*
* This example shows how to use geometric partitioning methods with multivectors.
*
*/
/** \example vert_weights.cpp
*
* This example shows how to use graph partitioning methods with vertex weights.
*
*/
/** \example graphedge_weights.cpp
*
* This example shows how to use graph partitioning methods with edge weights.
*
*/
/** \example hgedge_weights.cpp
*
* This example shows how to use hypergraph partitioning methods with hyperedge weights.
*
*/
/** \example part_redist.cpp
*
* This example demonstrates repartitioning and redistributing the
* contents of an Epetra_LinearProblem object, using the Isorropia::Partitioner
* and Isorropia::Redistributor classes. This program does not use
* user-specified weights/costs.
*
*/
#include <Isorropia_ConfigDefs.hpp>
#include <Teuchos_RCP.hpp>
#include <Teuchos_ParameterList.hpp>
#include <Isorropia_EpetraCostDescriber.hpp>
#include <Isorropia_EpetraOperator.hpp>
#include <Isorropia_Partitioner.hpp>
#ifdef HAVE_EPETRA
class Epetra_Map;
class Epetra_BlockMap;
class Epetra_Import;
class Epetra_Vector;
class Epetra_MultiVector;
class Epetra_CrsGraph;
class Epetra_CrsMatrix;
class Epetra_RowMatrix;
class Epetra_LinearProblem;
namespace Isorropia {
namespace Epetra {
class CostDescriber;
/** An implementation of the Partitioner interface that operates on
Epetra matrices and linear systems.
\ingroup partitioning_grp partitioning_rcp_grp partitioning_ptr_grp
*/
class Partitioner : public Isorropia::Partitioner, public Isorropia::Epetra::Operator {
public:
/** @ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_CrsGraph> inputGraph,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_CrsGraph *inputGraph,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_CrsGraph> inputGraph,
Teuchos::RCP<CostDescriber> costs,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_CrsGraph *inputGraph,
CostDescriber* costs,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_RowMatrix> inputMatrix,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_RowMatrix *inputMatrix,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_RowMatrix> inputMatrix,
Teuchos::RCP<CostDescriber> costs,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_RowMatrix *inputMatrix,
CostDescriber *costs,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_MultiVector> coords,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_MultiVector *coords,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/**
\ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_MultiVector> coords,
Teuchos::RCP<const Epetra_MultiVector> weights,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_MultiVector *coords,
const Epetra_MultiVector *weights,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_BlockMap> inputMap,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_BlockMap *inputMap,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_CrsGraph> inputGraph,
Teuchos::RCP<const Epetra_MultiVector> coords,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_CrsGraph *inputGraph,
const Epetra_MultiVector *coords,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_CrsGraph> inputGraph,
Teuchos::RCP<CostDescriber> costs,
Teuchos::RCP<const Epetra_MultiVector> coords,
Teuchos::RCP<const Epetra_MultiVector> weights,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_CrsGraph *inputGraph,
CostDescriber *costs,
const Epetra_MultiVector *coords,
const Epetra_MultiVector *weights,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_RowMatrix> inputMatrix,
Teuchos::RCP<const Epetra_MultiVector> coords,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_RowMatrix *inputMatrix,
const Epetra_MultiVector *coords,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_rcp_grp
*/
Partitioner(Teuchos::RCP<const Epetra_RowMatrix> inputMatrix,
Teuchos::RCP<CostDescriber> costs,
Teuchos::RCP<const Epetra_MultiVector> coords,
Teuchos::RCP<const Epetra_MultiVector> weights,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_ptr_grp
*/
Partitioner(const Epetra_RowMatrix *inputMatrix,
CostDescriber *costs,
const Epetra_MultiVector *coords,
const Epetra_MultiVector *weights,
const Teuchos::ParameterList& paramlist=Teuchos::ParameterList("EmptyParameterList"),
bool compute_partitioning_now=true);
/** @ingroup partitioning_grp
Destructor
*/
virtual ~Partitioner();
/* @ingroup partitioning_grp
* Set the relative number of objects in each part. The default is to
* evenly divide objects across parts. The numbers can be fractions of
* one, or whole numbers. Zoltan adds the values supplied and takes the sizes
* as proportional to that whole.
*
* We make a copy of id and size lists.
*
* Caller should supply either global part IDs or local part IDs.
* Part IDs are integers beginning at zero for the first part.
*
* No communication is done during this call. One process can make the call
* for all parts, or many processes can make the call. Zoltan checks the
* consistency of the information provided.
*/
void setPartSizes(int len, int *global_part_id, float *part_size);
/* @ingroup partitioning_grp
* Free the memory allocated to store part sizes.
*/
void clearPartSizes();
/** @ingroup partitioning_grp
partition is the method that computes
a rebalanced partitioning for the data in the object
that this class was constructed with.
\param force_repartitioning Optional argument defaults to false. By
default, compute_partitioning() only does anything the first time
it is called, and subsequent repeated calls are no-ops. If the user's
intent is to re-compute the partitioning (e.g., if parameters
or other inputs have been changed), then setting this flag to
true will force a new partitioning to be computed.
*/
void partition(bool force_repartitioning=false);
/** @ingroup partitioning_grp
*/
virtual void compute(bool forceRecomputing=false);
/** @ingroup partitioning_grp
*/
int numElemsInPart(int part) const {
return (numElemsWithProperty(part));
}
/** @ingroup partitioning_grp
*/
void elemsInPart(int part, int* elementList, int len) const {
elemsWithProperty(part, elementList, len);
}
/** @ingroup partitioning_rcp_grp
Create a new @c Epetra_Map corresponding to the new partition.
This method is essentially used by the
Isorropia::Epetra::Redistributor object.
\return @c Epetra_Map that contains the new distribution of elements.
\pre The number of parts might be the same or lower than the
number of processors.
*/
Teuchos::RCP<Epetra_Map> createNewMap();
/** @ingroup partitioning_ptr_grp
Create a new @c Epetra_Map corresponding to the new partition.
This method is essentially used by the
Isorropia::Epetra::Redistributor object.
\param[out] outputMap @c Epetra_Map that contains the new distribution of elements.
\pre The number of parts might be the same or lower than the
number of processors.
*/
void createNewMap(Epetra_Map *&outputMap);
private:
int *partGIDs;
float *partSizes;
int numPartSizes;
};//class Partitioner
}//namespace Epetra
}//namespace Isorropia
#endif //HAVE_EPETRA
#endif
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