Parallel and Distributed Processing Symposium, International (2003)
Apr. 22, 2003 to Apr. 26, 2003
<p>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.</p> <p>One of the challenges inhibiting the entity-level approach are 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.</p>
A. Su, F. Berman and H. Casanova, "Performance Modeling for Entity-Level Simulations," Parallel and Distributed Processing Symposium, International(IPDPS), Nice, France, 2003, pp. 255b.