• DocumentCode
    3005149
  • Title

    Multilinear algebra and parallel programming

  • Author

    Johnson, R.W. ; Huang, C.-H. ; Johnson, J.R.

  • Author_Institution
    Dept. of Comput. Sci., City Univ. of New York, NY, USA
  • fYear
    1990
  • fDate
    12-16 Nov 1990
  • Firstpage
    20
  • Lastpage
    31
  • Abstract
    The authors study the use of multilinear algebra in designing and implementing algorithms for linear computations. In particular, they discuss their experience in using these techniques on the Cray Y-MP and to implement Strassen´s matrix multiplication algorithm on the Encore Multimax. It is concluded that the formulation of numerical algorithms in terms of the constructs of multilinear algebra, especially the tensor product, together with the coding methods presented, simplifies the writing of the programs for implementing these algorithms. By making the implementation process simpler and more mechanical, one can more easily experiment with and monitor the coding of these algorithms and thereby find better implementations
  • Keywords
    Cray computers; linear algebra; matrix algebra; parallel programming; Cray Y-MP; Encore Multimax; Strassen´s matrix multiplication algorithm; linear computations; multilinear algebra; parallel programming; tensor product; Algebra; Algorithm design and analysis; Books; Computer science; Information science; Large-scale systems; Parallel architectures; Parallel programming; Tensile stress; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supercomputing '90., Proceedings of
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-8186-2056-0
  • Type

    conf

  • DOI
    10.1109/SUPERC.1990.129997
  • Filename
    129997