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- W1567806408 abstract "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." @default.
- W1567806408 created "2016-06-24" @default.
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- W1567806408 date "2004-03-22" @default.
- W1567806408 modified "2023-09-25" @default.
- W1567806408 title "Performance modeling for entity-level simulations" @default.
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- W1567806408 doi "https://doi.org/10.1109/ipdps.2003.1213463" @default.
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