Scalable Entity-Based Modeling of Population-Based Systems, Final LDRD Report

Cleary, A J ; Smith, S G ; Vassilevska, T K ; Jefferson, D R

Lawrence Livermore National Laboratory

关键词: Populations;    Lawrence Livermore National Laboratory;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Computers;   

DOI  :  10.2172/917499
RP-ID  :  UCRL-TR-209617
RP-ID  :  W-7405-ENG-48
RP-ID  :  917499

美国|英语

来源: UNT Digital Library

【 摘 要 】

The goal of this project has been to develop tools, capabilities and expertise in the modeling of complex population-based systems via scalable entity-based modeling (EBM). Our initial focal application domain has been the dynamics of large populations exposed to disease-causing agents, a topic of interest to the Department of Homeland Security in the context of bioterrorism. In the academic community, discrete simulation technology based on individual entities has shown initial success, but the technology has not been scaled to the problem sizes or computational resources of LLNL. Our developmental emphasis has been on the extension of this technology to parallel computers and maturation of the technology from an academic to a lab setting.