Article thumbnail

Towards efficient large scale epidemiological simulations in EpiGraph

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


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.We would like to acknowledge the assistance provided by David del Río Astorga and Alberto Martín Cajal. This work has been partially supported by the Spanish Ministry of Science TIN2010-16497, 2010.Peer Reviewe

Topics: Àrees temàtiques de la UPC::Enginyeria electrònica, Large scale systems--Data processing, Data analysis series, Simulation, Computational epidemiology, Parallel algorithms, MPI implementation, Resource allocation, Dades--Transmissió
Publisher: Elsevier
OAI identifier:
Provided by: RECERCAT
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.