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Benchmark of the extended Basic Linear Algebra Subprograms on the NEC SX-2 supercomputer

  • R. M. Dubash
  • J. L. Fredin
  • O. G. Johnson
Session 9B: Algorithms, Architectures And Performance II
Part of the Lecture Notes in Computer Science book series (LNCS, volume 297)

Abstract

The Basic Linear Algebra Subprograms (BLAS) covering most basic vector operations have been widely used in numerical applications including LINPACK. The Extended Basic Linear Algebra Subprograms (EBLAS) were developed recently as an extension to the strictly vector operations of the BLAS. The EBLAS, also known as Level-2 BLAS, are a set of subprograms that represent basic matrix-vector operations and were written to take advantage of the architecture of today's supercomputers.

The sixteen double precision EBLAS have been installed and benchmarked on the NEC SX-2 Supercomputer at the Houston Area Research Center, The Woodlands, Texas. The EBLAS code, as received, is highly vectorized. The timings and performance rates are presented. Techniques to optimize the EBLAS code on the NEC SX-2 in particular are presented. Performance increases of 10–30% are typical, but dramatic performance increases are obtained for a few routines.

Keywords

Symmetric Matrix Argonne National Laboratory Vector Length Element Vector Original Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • R. M. Dubash
    • 2
  • J. L. Fredin
    • 1
  • O. G. Johnson
    • 1
    • 2
  1. 1.Houston Area Research Center Computer Systems and Applications Research CenterThe WoodlandsUSA
  2. 2.Computer Science DepartmentUniversity of HoustonHoustonUSA

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