Parallel Computing in Enterprise Modeling.

Goldsby, M. E. ; Armstrong, R. C. ; Shneider, M. S. ; Vanderveen, K. ; Ray, J. ; Heath, Z.

Technical Information Center Oak Ridge Tennessee

关键词: Parallel processing;    Distributed data processing;    Information systems;    Signal processing;    Simulation;   

RP-ID  :  DE2009945906

学科分类：工程和技术（综合）

美国|英语

来源: National Technical Reports Library

【 摘 要 】

This report presents the results of our efforts to apply high-performance computing to entity-based simulations with a multi-use plugin for parallel computing. We use the term Entity-based simulation to describe a class of simulaton which includes both discrete event simulation and agent based simulation. What simulations of this class share, and what differs from more traditional models, is that the result sought is emergent from a large number of contributing entities. Logistic, economic and social simulations are members of this class where things or people are organized or self-organize to produce a solution. Entity-based problems never have an a priori ergodic principle that will greatly simplify calculations. Because the results of entity-based simulations can only be realized at scale, scalable computing is de rigueur for large problems. Having said that, the absence of a spatial organizing principal makes the decomposition of the problem onto processors problematic.