Large-Scale Agent-Based Modeling with Repast HPC: A Case Study in Parallelizing an Agent-Based Model

被引：26

作者：

Collier, Nicholson ^{[1
,2
]}

Ozik, Jonathan ^{[1
,2
]}

Macal, Charles M. ^{[1
]}

机构：

[1] Argonne Natl Lab, Global Secur Sci, 9700 S Cass Ave, Argonne, IL 60439 USA

[2] Univ Chicago, Computat Inst, Chicago, IL 60637 USA

来源：

EURO-PAR 2015: PARALLEL PROCESSING WORKSHOPS | 2015年 / 9523卷

关键词：

Agent-based modeling; ABMS; Repast HPC; Parallel simulation; Distributed simulation; High performance computing; RESISTANT STAPHYLOCOCCUS-AUREUS; INFECTIONS;

D O I：

10.1007/978-3-319-27308-2_37

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present a case study for parallelizing a large-scale epidemiologic ABM developed with Repast HPC, the Chicago Social Interaction Model (chiSIM). The original serial model is a CA-MRSA model which tracks CA-MRSA transmission dynamics and infection in Chicago, and represents the spread of CA-MRSA in the population of Chicago. We utilize both within compute node parallelization using the OpenMP toolkit and distributed parallelization across multiple processes using MPI. The combined approach yields a 1350 % increase in run time performance utilizing 128 compute nodes.

引用

页码：454 / 465

页数：12

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