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Related Experiment Videos

Towards performance control on the Grid.

K R Mayes1, M Luján, G D Riley

  • 1Centre for Novel Computing, School of Computer Science, University of Manchester, Manchester, UK. kmayes@cs.man.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|August 16, 2005
PubMed
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This study introduces PerCo, a performance control system for complex simulations. PerCo optimizes simulation performance by monitoring and redeploying components in dynamic environments, reducing overall execution time.

Area of Science:

  • Computational science
  • High-performance computing
  • Complex systems simulation

Background:

  • Computational Grid technologies facilitate complex simulations.
  • Simulations can be assembled from separate, deployable components.
  • Dynamic and heterogeneous environments pose performance challenges for simulation assemblages.

Purpose of the Study:

  • To design and implement a prototype performance control system (PerCo).
  • To enable monitoring and redeployment of simulations for performance optimization.
  • To demonstrate performance control in dynamic execution environments.

Main Methods:

  • Developed a prototype performance control system (PerCo).
  • Implemented monitoring of simulation progress.

Related Experiment Videos

  • Utilized redeployment strategies to optimize performance.
  • Evaluated PerCo's cost and effectiveness using lattice Boltzmann simulations.

    • Main Results:

    • PerCo effectively monitors simulation progress.
    • Redeployment strategies optimize performance in dynamic environments.
    • Lattice Boltzmann simulations demonstrated performance improvements with PerCo.
    • The cost of using PerCo was evaluated and found to be beneficial.

    Conclusions:

    • PerCo is capable of controlling simulation performance through redeployment.
    • The system effectively reduces overall execution time for complex simulations.
    • PerCo offers a viable solution for managing performance in heterogeneous, dynamic Grid environments.