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Tutorial: Parallel Computing of Simulation Models for Risk Analysis.

Allison C Reilly1, Andrea Staid2, Michael Gao3

  • 1Industrial and Operations Research, University of Michigan, Ann Arbor, MI, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|February 6, 2016
PubMed
Summary
This summary is machine-generated.

This tutorial introduces parallelization techniques for risk analysis simulation models. Learn how to leverage modern hardware to speed up computationally intensive risk assessments and uncertainty quantification.

Keywords:
Parallel computingrisk analysis

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Area of Science:

  • Computational science
  • Risk analysis
  • Scientific computing

Background:

  • Simulation models are crucial for risk analysis, but their computational complexity often hinders timely evaluations.
  • Time-consuming simulations can limit the scope of uncertainty quantification and parameter exploration.

Purpose of the Study:

  • To provide an introductory tutorial on parallelizing simulation code for risk analysts.
  • To enable better utilization of modern computing hardware for risk analysis.
  • To decrease the computational burden of complex simulation models.

Main Methods:

  • Focuses on conceptual aspects of embarrassingly parallel computer code.
  • Discusses software considerations for parallelization.
  • Presents complementary examples using MATLAB and R programming languages.

Main Results:

  • Demonstrates how parallelization can significantly reduce simulation run times.
  • Enables risk analysts to perform more comprehensive uncertainty quantification.
  • Provides practical examples for implementing parallel computing in risk analysis.

Conclusions:

  • Parallelization is an effective strategy to overcome computational limitations in risk analysis simulations.
  • Risk analysts can enhance their ability to quantify uncertainty by adopting parallel computing techniques.
  • The tutorial equips analysts with the knowledge to leverage modern hardware for complex problem-solving.