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

页码：2187 / 2192

页数：6

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