• DocumentCode
    2422811
  • Title

    Some Comparative Benchmarks for Linear Algebra Computations in Matlab and Scientific Python

  • Author

    Unpingco, José

  • Author_Institution
    Ohio Supercomput. Center, Columbus, OH
  • fYear
    2008
  • fDate
    14-17 July 2008
  • Firstpage
    503
  • Lastpage
    505
  • Abstract
    Freely available software and algorithms for numerical computation have been around for at least 20 years. Recently, many of these packages have been consolidated into a python-based scientific computing environment similar to Matlab. In this paper, we compare and discuss benchmarks of common linear algebra matrix computations using Matlab and scientific python (SciPy). The benchmarks presented here are from the user-standpoint without exotic programming in either Matlab or python.
  • Keywords
    mathematics computing; matrix algebra; Matlab; comparative benchmarks; linear algebra computations; scientific python; Libraries; Linear algebra; MATLAB; Matrices; Matrix decomposition; Packaging; Scientific computing; Software algorithms; Supercomputers; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    DoD HPCMP Users Group Conference, 2008. DOD HPCMP UGC
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-3323-0
  • Type

    conf

  • DOI
    10.1109/DoD.HPCMP.UGC.2008.49
  • Filename
    4755916
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2422811