Parallel Programming Approaches for an Agent-based Simulation of Concurrent Pandemic and Seasonal Influenza Outbreaks

被引:4
作者
Soto-Ferrari, Milton [1 ]
Holvenstot, Peter [2 ]
Prieto, Diana [1 ]
de Doncker, Elise [2 ]
Kapenga, John [2 ]
机构
[1] Western Michigan Univ, Dept Ind Engn, Kalamazoo, MI 49008 USA
[2] Western Michigan Univ, Dept Comp Sci, Kalamazoo, MI 49008 USA
来源
2013 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE | 2013年 / 18卷
基金
美国国家科学基金会;
关键词
Pandemic Outbreak; Simulation; OpenMP; CUDA;
D O I
10.1016/j.procs.2013.05.389
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper we propose parallelized versions of an agent-based simulation for concurrent pandemic and seasonal influenza outbreaks. The objective of the implementations is to significantly reduce the replication time and allow faster evaluation of mitigation strategies during an ongoing emergency. The simulation was initially parallelized using the g++ OpenMP library. We simulated the outbreak in a population of 1,000,000 individuals to evaluate algorithm performance and results. In addition to the OpenMP parallelization, a proposed CUDA implementation is also presented. (c) 2013 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of the organizers of the 2013 International Conference on Computational Science
引用
收藏
页码:2187 / 2192
页数:6
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