Self-adapting numerical software (SANS) effort

  • Authors:
  • J. Dongarra;G. Bosilca;Z. Chen;V. Eijkhout;G. E. Fagg;E. Fuentes;J. Langou;P. Luszczek;J. Pjesivac-Grbovic;K. Seymour;H. You;S. S. Vadhiyar

  • Affiliations:
  • -;-;-;-;-;-;-;-;-;-;-;-

  • Venue:
  • IBM Journal of Research and Development
  • Year:
  • 2006

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Abstract

The challenge for the development of next-generation software is the successful management of the complex computational environment while delivering to the scientist the full power of flexible compositions of the available algorithmic alternatives. Self-adapting numerical software (SANS) systems are intended to meet this significant challenge. The process of arriving at an efficient numerical solution of problems in computational science involves numerous decisions by a numerical expert. Attempts to automate such decisions distinguish three levels: algorithmic decision, management of the parallel environment, and processor-specific tuning of kernels. Additionally, at any of these levels we can decide to rearrange the user's data. In this paper we look at a number of efforts at the University of Tennessee to investigate these areas.