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Performance Evaluation of Storage Formats for Sparse Matrices in Fortran

  • Anila Usman
  • Mikel Luján
  • Len Freeman
  • John R. Gurd
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4208)

Abstract

Many storage formats have been proposed to represent spa- rse matrices. This paper extends to Fortran 95 the performance evaluation of sparse storage formats in Java presented at ICCS 2005, [7]. These experiments have the same set up (almost 200 sparse matrices and matrix-vector multiplication), but now consider the Fortran 95 Sparse BLAS reference implementation.

Keywords

Sparse matrix storage format Sparse BLAS performance evaluation JSA (Java Sparse Array) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Anila Usman
    • 1
  • Mikel Luján
    • 2
  • Len Freeman
    • 2
  • John R. Gurd
    • 2
  1. 1.Department of Computer & Information SciencesPIEAS (Pakistan Institute of Engineering & Applied Science)IslamabadPakistan
  2. 2.Centre for Novel ComputingThe University of ManchesterManchesterUnited Kingdom

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