Simulation-based analysis of parallel runge-kutta solvers

  • Authors:
  • Matthias Korch;Thomas Rauber

  • Affiliations:
  • Department of Mathematics, Physics, and Computer Science, University of Bayreuth;Department of Mathematics, Physics, and Computer Science, University of Bayreuth

  • Venue:
  • PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
  • Year:
  • 2004

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Abstract

We use simulation-based analysis to compare and investigate different shared-memory implementations of parallel and sequential embedded Runge-Kutta solvers for systems of ordinary differential equations. The results of the analysis help to provide a better understanding of the locality and scalability behavior of the implementations and can be used as a starting point for further optimizations.