The component structure of a self-adapting numerical software system

Authors:
Victor Eijkhout;Erika Fuentes;Thomas Eidson;Jack Dongarra
Affiliations:
University of Tennessee, Knoxville, TN;University of Tennessee, Knoxville, TN;Old Dominion University, Norfolk, VA;University of Tennessee, Knoxville, TN
Venue:
International Journal of Parallel Programming - Special issue: The next generation software program
Year:
2005

Citing 0
Cited 2

The next generation software program

International Journal of Parallel Programming - Special issue: The next generation software program
MPI collective algorithm selection and quadtree encoding

Parallel Computing

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Abstract

Self-Adapting Numerical Software (SANS) systems aim to automate some of the laborious human decision making involved in adapting numerical algorithms to problem data, network conditions, and computational platform. In this paper we describe the structure of a SANS system that tackles automatic algorithm choice, based on dynamic inspection of the problem data. We describe the various components of such a system, and their interfaces.