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Loci: a rule-based framework for parallel multi-disciplinary simulation synthesis

Published online by Cambridge University Press:  01 June 2005

EDWARD A. LUKE  and
THOMAS GEORGE
EDWARD A. LUKE
Affiliation:
Department of Computer Science and Engineering, Mississippi State University, MS 39762, USA (e-mail: [email protected])
THOMAS GEORGE
Affiliation:
Department of Computer Science, Texas A & M University, TX 77843-3112, USA (e-mail: [email protected])
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Abstract

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We present a rule-based framework for the development of scalable parallel high performance simulations for a broad class of scientific applications (with particular emphasis on continuum mechanics). We take a pragmatic approach to our programming abstractions by implementing structures that are used frequently and have common high performance implementations on distributed memory architectures. The resulting framework borrows heavily from rule-based systems for relational database models, however limiting the scope to those parts that have obvious high performance implementation. Using our approach, we demonstrate predictable performance behavior and efficient utilization of large scale distributed memory architectures on problems of significant complexity involving multiple disciplines.

Type
Research Article
Information
Journal of Functional Programming , Volume 15 , Issue 3 , May 2005 , pp. 477 - 502
Copyright
© 2005 Cambridge University Press
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