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Parallelising the MARS15 code with MPI for shielding applications.

M A Kostin1, N V Mokhov

  • 1Fermi National Accelerator Laboratory, P.O. Box 500, MS 220, Batavia, Illinois 60510-0500, USA. kostin@fnal.gov

Radiation Protection Dosimetry
|April 11, 2006
PubMed
Summary
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The MARS15 Monte Carlo code now features parallel processing for complex shielding simulations. This enhancement improves performance and fault tolerance in accelerator and detector applications.

Area of Science:

  • High-energy physics
  • Computational physics
  • Radiation shielding

Background:

  • Monte Carlo simulations are crucial for accelerator and detector design.
  • Deep penetration shielding problems present significant computational challenges.
  • Existing codes like MARS15 require optimization for demanding applications.

Purpose of the Study:

  • To enhance the MARS15 Monte Carlo code with parallel processing capabilities.
  • To improve the efficiency and scalability of the code for computationally intensive tasks.
  • To address limitations in simulating deep penetration shielding problems.

Main Methods:

  • Implemented a parallel processing option using Message Passing Interface (MPI).
  • Developed and tested the enhanced code on Fermilab's Linux cluster and Sun workstations.

Related Experiment Videos

  • Analyzed code architecture, MPI usage, and scheduling effects on performance and fault tolerance.

    • Main Results:

    • The parallelized MARS15 code demonstrates good performance and scalability.
    • Successful implementation and testing on a distributed computing environment.
    • Insights into scheduling's impact on performance and fault tolerance were gained.

    Conclusions:

    • Parallel processing significantly enhances MARS15 code capabilities for deep penetration shielding.
    • The enhanced code is suitable for demanding accelerator, detector, and shielding applications.
    • The MPI-based parallelization offers a robust solution for computationally tough tasks.