Tpetra Matrix/Vector Services Version of the Day

Matrix Market file reader for CrsMatrix and MultiVector. More...
#include <MatrixMarket_Tpetra.hpp>
Public Types  
typedef SparseMatrixType  sparse_matrix_type 
This class' template parameter; a specialization of CrsMatrix.  
typedef SparseMatrixType::scalar_type  scalar_type 
Type of the entries of the sparse matrix.  
typedef SparseMatrixType::local_ordinal_type  local_ordinal_type 
Only used to define map_type.  
typedef SparseMatrixType::global_ordinal_type  global_ordinal_type 
Type of indices as read from the Matrix Market file.  
typedef SparseMatrixType::node_type  node_type 
The Kokkos Node type.  
typedef MultiVector < scalar_type, local_ordinal_type, global_ordinal_type, node_type >  multivector_type 
The MultiVector type associated with SparseMatrixType.  
Static Public Member Functions  
static sparse_matrix_ptr  readSparseFile (const std::string &filename, const RCP< const Comm< int > > &pComm, const RCP< node_type > &pNode, const bool callFillComplete=true, const bool tolerant=false, const bool debug=false) 
Read sparse matrix from the given Matrix Market file.  
static sparse_matrix_ptr  readSparse (std::istream &in, const RCP< const Comm< int > > &pComm, const RCP< node_type > &pNode, const bool callFillComplete=true, const bool tolerant=false, const bool debug=false) 
Read sparse matrix from the given Matrix Market input stream.  
static RCP< multivector_type >  readDenseFile (const std::string &filename, const RCP< const comm_type > &pComm, const RCP< node_type > &pNode, RCP< const map_type > pMap, const bool tolerant=false, const bool debug=false) 
Read dense matrix (as a MultiVector) from the given Matrix Market file.  
static RCP< multivector_type >  readDense (std::istream &in, const RCP< const comm_type > &pComm, const RCP< node_type > &pNode, RCP< const map_type > pMap, const bool tolerant=false, const bool debug=false) 
Read dense matrix (as a MultiVector) from the given Matrix Market input stream. 
Matrix Market file reader for CrsMatrix and MultiVector.
The Matrix Market (see their web site for details) defines a humanreadable ASCII text file format for interchange of sparse and dense matrices. This class defines methods for reading sparse and dense matrices from a Matrix Market file or input stream.
All methods of this class assume that the file is only openable resp. the input stream is only readable, on the MPI process with Rank 0 (with respect to the MPI communicator over which the given CrsMatrix or MultiVector is to be distributed).
We define the MultiVector type returned by readDense()
and readDenseFile()
using the scalar_type, local_ordinal_type, global_ordinal_type, and node_type typedefs in SparseMatrixType. This ensures that the multivectors returned by those methods have a type compatible with the CrsMatrix sparse matrices returned by readSparse()
and readSparseFile()
. We do this because the typical use case of Matrix Market files in Trilinos is to test sparse matrix methods, which usually involves reading a sparse matrix A and perhaps also a dense righthand side b. Also, this lets you use CrsMatrix objects with nondefault LocalMatOps template parameters. (If we templated on Scalar, LocalOrdinal, GlobalOrdinal, and Node, we would also have to template on LocalMatOps in order to deal with CrsMatrix types with nondefault LocalMatOps. That would tie Reader to CrsMatrix anyway, since MultiVector is not templated on LocalMatOps. As a result, we might as well just template on the CrsMatrix type, in order to use arbitrary LocalMatOps types without additional code.)
SparseMatrixType  A specialization of Tpetra::CrsMatrix . 
Templating on the specialization of CrsMatrix means that the Reader expects matrix data of a type compatible with the CrsMatrix's scalar_type. In general, Matrix Market files may contain data of integer, real, or complex type. However, the reader methods have to return a CrsMatrix of a specific type, so we require that you declare a Reader with the CrsMatrix type that you want and that you expect the file(s) to contain.
We didn't find any of the alternatives to this approach acceptable. One possibility would have been to have the reader methods return a "container that can hold anything," like a boost::any. However, then you would have to know all five template arguments of the CrsMatrix in order to get the actual CrsMatrix object out. C++ doesn't have algebraic data types (see the Wikipedia entry for a good definition) that are disjoint unions of different types. Thus, we couldn't have had the readers return a CrsMatrix with scalar_type = "int or double or complex<double>." While you can implement such a type in C++ (see e.g., boost::variant), it would not be interchangeable for its component types. This is because it may not have the same memory layout (e.g., copying an array of boost::variant<int, double, complex<double> > bitwise into an array of int may not work).
Definition at line 163 of file MatrixMarket_Tpetra.hpp.
Tpetra::MatrixMarket::Reader< SparseMatrixType >::sparse_matrix_type 
This class' template parameter; a specialization of CrsMatrix.
Definition at line 167 of file MatrixMarket_Tpetra.hpp.
Tpetra::MatrixMarket::Reader< SparseMatrixType >::scalar_type 
Type of the entries of the sparse matrix.
Definition at line 172 of file MatrixMarket_Tpetra.hpp.
Tpetra::MatrixMarket::Reader< SparseMatrixType >::local_ordinal_type 
Only used to define map_type.
Definition at line 175 of file MatrixMarket_Tpetra.hpp.
Tpetra::MatrixMarket::Reader< SparseMatrixType >::global_ordinal_type 
Type of indices as read from the Matrix Market file.
Indices of the sparse matrix are read in as global ordinals, since Matrix Market files represent the whole matrix and don't have a notion of distribution.
Definition at line 183 of file MatrixMarket_Tpetra.hpp.
Tpetra::MatrixMarket::Reader< SparseMatrixType >::node_type 
The Kokkos Node type.
Definition at line 187 of file MatrixMarket_Tpetra.hpp.
Tpetra::MatrixMarket::Reader< SparseMatrixType >::multivector_type 
The MultiVector type associated with SparseMatrixType.
Definition at line 194 of file MatrixMarket_Tpetra.hpp.
static sparse_matrix_ptr Tpetra::MatrixMarket::Reader< SparseMatrixType >::readSparseFile  (  const std::string &  filename, 
const RCP< const Comm< int > > &  pComm,  
const RCP< node_type > &  pNode,  
const bool  callFillComplete = true , 

const bool  tolerant = false , 

const bool  debug = false 

)  [inline, static] 
Read sparse matrix from the given Matrix Market file.
Open the given file on MPI Rank 0 (with respect to the given communicator). The file should contain Matrix Market "coordinate" format sparse matrix data. Read that data on Rank 0, and distribute it to all processors. Return the resulting distributed CrsMatrix.
filename  [in] Name of the Matrix Market file. 
pComm  [in] Communicator containing all processor(s) over which the sparse matrix will be distributed. 
pNode  [in] Kokkos Node object. 
callFillComplete  [in] Whether to call fillComplete() on the Tpetra::CrsMatrix, after adding all the entries read in from the input stream. 
tolerant  [in] Whether to read the data tolerantly from the file. 
debug  [in] Whether to produce copious status output useful for Tpetra developers, but probably not useful for anyone else. 
Definition at line 1184 of file MatrixMarket_Tpetra.hpp.
static sparse_matrix_ptr Tpetra::MatrixMarket::Reader< SparseMatrixType >::readSparse  (  std::istream &  in, 
const RCP< const Comm< int > > &  pComm,  
const RCP< node_type > &  pNode,  
const bool  callFillComplete = true , 

const bool  tolerant = false , 

const bool  debug = false 

)  [inline, static] 
Read sparse matrix from the given Matrix Market input stream.
The given input stream need only be readable by MPI Rank 0 (with respect to the given communicator). The input stream should contain Matrix Market "coordinate" format sparse matrix data. Read that data on Rank 0, and distribute it to all processors. Return the resulting distributed CrsMatrix.
in  [in] The input stream from which to read. 
pComm  [in] Communicator containing all processor(s) over which the sparse matrix will be distributed. 
pNode  [in] Kokkos Node object. 
callFillComplete  [in] Whether to call fillComplete() on the Tpetra::CrsMatrix, after adding all the entries read in from the input stream. (Not calling fillComplete() may be useful if you want to change the matrix after reading it from a file.) 
tolerant  [in] Whether to read the data tolerantly from the file. 
debug  [in] Whether to produce copious status output useful for Tpetra developers, but probably not useful for anyone else. 
Definition at line 1230 of file MatrixMarket_Tpetra.hpp.
static RCP<multivector_type> Tpetra::MatrixMarket::Reader< SparseMatrixType >::readDenseFile  (  const std::string &  filename, 
const RCP< const comm_type > &  pComm,  
const RCP< node_type > &  pNode,  
RCP< const map_type >  pMap,  
const bool  tolerant = false , 

const bool  debug = false 

)  [inline, static] 
Read dense matrix (as a MultiVector) from the given Matrix Market file.
Open the given file on MPI Rank 0 (with respect to the given communicator). The file should contain Matrix Market "array" format dense matrix data. Read that data on Rank 0, and distribute it to all processors. Return the resulting distributed MultiVector.
Unlike readSparse()
, this method allows callers to supply a Map over which to distribute the resulting MultiVector. The Map argument is optional; if null, we construct our own reasonable Map. We let users supply their own Map, because a common case in Tpetra is to read in or construct a sparse matrix first, and then create vectors that are compatible with the sparse matrix, using the sparse matrix's domain or range Map.
filename  [in] Name of the Matrix Market file. 
pComm  [in] Communicator containing all processor(s) over which the dense matrix will be distributed. 
pNode  [in] Kokkos Node object. 
pMap  [in/out] If nonnull, the map describing how to distribute the vector. If null, we create a sensible map, and assign that map to pMap. If pMap is nonnull on input, the map's communicator and node must equal pComm resp. pNode above. pMap is not a "const RCP&" so that we can assign to it. 
tolerant  [in] Whether to read the data tolerantly from the file. 
debug  [in] Whether to produce copious status output useful for Tpetra developers, but probably not useful for anyone else. 
Definition at line 1752 of file MatrixMarket_Tpetra.hpp.
static RCP<multivector_type> Tpetra::MatrixMarket::Reader< SparseMatrixType >::readDense  (  std::istream &  in, 
const RCP< const comm_type > &  pComm,  
const RCP< node_type > &  pNode,  
RCP< const map_type >  pMap,  
const bool  tolerant = false , 

const bool  debug = false 

)  [inline, static] 
Read dense matrix (as a MultiVector) from the given Matrix Market input stream.
The given input stream need only be readable by MPI Rank 0 (with respect to the given communicator). The input stream should contain Matrix Market "array" format dense matrix data. Read that data on Rank 0, and distribute it to all processors. Return the resulting distributed MultiVector.
Unlike readSparse()
, this method allows callers to supply a Map over which to distribute the resulting MultiVector. The Map argument is optional; if null, we construct our own reasonable Map. We let users supply their own Map, because a common case in Tpetra is to read in or construct a matrix first, and then create vectors using the matrix's domain or range Map.
in  [in] The input stream from which to read. 
pComm  [in] Communicator containing all processor(s) over which the dense matrix will be distributed. 
pNode  [in] Kokkos Node object. 
pMap  [in/out] If nonnull, the map describing how to distribute the vector. If null, we create a sensible map, and assign that map to pMap. If pMap is nonnull on input, the map's communicator and node must equal pComm resp. pNode above. pMap is not a "const RCP&" so that we can assign to it. 
tolerant  [in] Whether to read the data tolerantly from the file. 
debug  [in] Whether to produce copious status output useful for Tpetra developers, but probably not useful for anyone else. 
Definition at line 1821 of file MatrixMarket_Tpetra.hpp.