Prospectus for the Next LAPACK and ScaLAPACK Libraries

  • James W. Demmel
  • Jack Dongarra
  • Beresford Parlett
  • William Kahan
  • Ming Gu
  • David Bindel
  • Yozo Hida
  • Xiaoye Li
  • Osni Marques
  • E. Jason Riedy
  • Christof Vömel
  • Julien Langou
  • Piotr Luszczek
  • Jakub Kurzak
  • Alfredo Buttari
  • Julie Langou
  • Stanimire Tomov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4699)

Abstract

New releases of the widely used LAPACK and ScaLAPACK numerical linear algebra libraries are planned. Based on an on-going user survey (www.netlib.org/lapack-dev) and research by many people, we are proposing the following improvements: Faster algorithms, including better numerical methods, memory hierarchy optimizations, parallelism, and automatic performance tuning to accommodate new architectures; More accurate algorithms, including better numerical methods, and use of extra precision; Expanded functionality, including updating and downdating, new eigenproblems, etc. and putting more of LAPACK into ScaLAPACK; Improved ease of use, e.g., via friendlier interfaces in multiple languages. To accomplish these goals we are also relying on better software engineering techniques and contributions from collaborators at many institutions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • James W. Demmel
    • 1
  • Jack Dongarra
    • 2
    • 3
  • Beresford Parlett
    • 1
  • William Kahan
    • 1
  • Ming Gu
    • 1
  • David Bindel
    • 1
  • Yozo Hida
    • 1
  • Xiaoye Li
    • 1
  • Osni Marques
    • 1
  • E. Jason Riedy
    • 1
  • Christof Vömel
    • 1
  • Julien Langou
    • 2
  • Piotr Luszczek
    • 2
  • Jakub Kurzak
    • 2
  • Alfredo Buttari
    • 2
  • Julie Langou
    • 2
  • Stanimire Tomov
    • 2
  1. 1.University of California, Berkeley CA 94720USA
  2. 2.University of Tennessee, Knoxville TN 37996USA
  3. 3.Oak Ridge National Laboratory, Oak Ridge, TN 37831USA

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