Performance modeling for entity-level simulations

• Published in: Proceedings International Parallel and Distributed Processing Symposium p. 9 pp.
• Main Authors: Su, A., Berman, F., Casanova, H.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2003
• Subjects: Aggregates; Application software; Computational modeling; Computer science; Degradation; Distributed computing; Parallel processing; Processor scheduling; Scientific computing; Supercomputers
• ISBN: 0769519261; 9780769519265
• ISSN: 1530-2075
• DOI: 10.1109/IPDPS.2003.1213463

Advances across many fields of study are driving changes in the basic nature of scientific computing applications. Scientists have recognized a growing need to study phenomena by explicitly modeling interactions among individual entities, rather than by simply modeling approximate collective behavior. This entity-level approach has emerged as a promising new direction in a number of scientific fields. One of the challenges inhibiting the entity-level approach is the substantial resource requirements it entails. Unfortunately, such applications exhibit characteristics and behaviors which render traditional parallel computing techniques ineffective. Well-defined methodologies for achieving scalable performance on distributed computing platforms are needed. As an important first step, we present an abstract application model for entity-level applications, and we instantiate it for a case-study immunology application. Our experiments confirm that this model tracks application performance trends sufficiently well to study scheduling issues pertaining to entity-level applications. We identify a scalability problem inherent to the entity-level approach and use our model to quantify the potential performance improvements that remapping strategies may yield.