Towards efficient large scale epidemiological simulations in EpiGraph

Gonzalo Martín, David E. Singh, Maria Cristina Marinescu, Jesús Carretero

Research output: Indexed journal article Articlepeer-review

12 Citations (Scopus)

Abstract

The work we present in this paper focuses on understanding the propagation of flu-like infectious outbreaks between geographically distant regions due to the movement of people outside their base location. Our approach incorporates geographic location and a transportation model into our existing region-based, closed-world EpiGraph simulator to model a more realistic movement of the virus between different geographic areas. This paper describes the MPI-based implementation of this simulator, including several optimization techniques such as a novel approach for mapping processes onto available processing elements based on the temporal distribution of process loads. We present an extensive evaluation of EpiGraph in terms of its ability to simulate large-scale scenarios, as well as from a performance perspective.

Original languageEnglish
Pages (from-to)88-102
Number of pages15
JournalParallel Computing
Volume42
DOIs
Publication statusPublished - Feb 2015
Externally publishedYes

Keywords

  • Computational epidemiology
  • MPI implementation
  • Parallel algorithms
  • Resource allocation
  • Simulation

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