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Related Experiment Video

Updated: Mar 6, 2026

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
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Dynamic Multicore Processing for Pandemic Influenza Simulation.

Henrik Eriksson1, Toomas Timpka2, Armin Spreco3

  • 1Dept. of Comp. and Inform. Sci., Linköping University, Sweden.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|March 9, 2017
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Summary

Optimizing pandemic simulations requires dynamic adjustment of processor core usage. This approach balances multithreading overhead with parallelization gains for faster outbreak analysis and decision support.

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Area of Science:

  • Computational epidemiology
  • Public health modeling

Background:

  • Pandemic simulations are crucial for analyzing disease outbreaks and intervention impacts.
  • Current simulations are often time-consuming, limiting interactive use and real-time decision support.

Purpose of the Study:

  • To improve the run-time performance of pandemic simulations.
  • To enable interactive analysis and decision support during outbreaks through enhanced computational efficiency.

Main Methods:

  • Implementing parallelization for infection-probability calculations on multicore architectures.
  • Dynamically adjusting the allocation of processor cores based on the simulation's computational load.

Main Results:

  • Significant run-time performance improvements achieved through parallelization.
  • Dynamic core allocation effectively balances multithreading overhead and parallelization benefits.

Conclusions:

  • Optimized pandemic simulation performance enhances the utility for interactive scenario exploration.
  • Dynamic multicore utilization is key to achieving the best performance for time-varying computational loads in outbreak modeling.