The scientific computing (SC) matrix library

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Description

The scientific computing matrix library (SCMAT) is a C++ class library for representing and manipulating rectangular, symmetric, and diagonal matrices and vectors. It is founded on an abstract base classes for each of these types of matrices; these are specialized to concrete matrix classes well suited for particular computational environments. The local matrix specializations (MS) do no communication. All elements reside on each node and all computations are duplicated on each node. The replicated MS hold all of the elements on each node, however do some communication in order to reduce computation time. The distributed MS spread the elements across ... continued below

Physical Description

33 p.

Creation Information

Janssen, C.L.; Seidl, E.T.; Nielsen, I.M.B. & Colvin, M.E. October 1, 1996.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Livermore, CA (United States)
    Place of Publication: Livermore, California

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Description

The scientific computing matrix library (SCMAT) is a C++ class library for representing and manipulating rectangular, symmetric, and diagonal matrices and vectors. It is founded on an abstract base classes for each of these types of matrices; these are specialized to concrete matrix classes well suited for particular computational environments. The local matrix specializations (MS) do no communication. All elements reside on each node and all computations are duplicated on each node. The replicated MS hold all of the elements on each node, however do some communication in order to reduce computation time. The distributed MS spread the elements across all the nodes and thus require less storage than local matrices however these use more communication than replicated matrices. The blocked MS are used to implement point group symmetry. One of the other MS is used to hold the diagonal subblocks of a matrix. The offdiagonal subblocks are known to be zero and not stored, resulting in considerable savings in storage and computation for those cases where it applies. A variety of supporting classes is also provided. There is a dimension class that optionally contains application specific blocking information as well as the matrix dimension. Classes to assist in iterating through the elements of a matrix are available. Finally, a class is provided which acts as a class factory by returning mutually consistent MS.

Physical Description

33 p.

Notes

OSTI as DE97050518

Source

  • Other Information: PBD: Oct 1996

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  • Other: DE97050518
  • Report No.: SAND--97-8200
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/419066 | External Link
  • Office of Scientific & Technical Information Report Number: 419066
  • Archival Resource Key: ark:/67531/metadc680393

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Office of Scientific & Technical Information Technical Reports

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Creation Date

  • October 1, 1996

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

Description Last Updated

  • April 12, 2016, 8:29 p.m.

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Janssen, C.L.; Seidl, E.T.; Nielsen, I.M.B. & Colvin, M.E. The scientific computing (SC) matrix library, report, October 1, 1996; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc680393/: accessed December 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.