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Parallel Implementation of Runge–Kutta Integrators with Low Storage Requirements

  • Matthias Korch
  • Thomas Rauber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5704)

Abstract

This paper considers the parallel solution of large systems of ordinary differential equations (ODEs) which possess a special access pattern by explicit Runge–Kutta (RK) methods. Such systems may arise, for example, from the semi-discretization of partial differential equations (PDEs). We propose an implementation strategy based on a pipelined processing of the stages of the RK method that does not impose restrictions on the choice of coefficients of the RK method. This approach can be implemented with low storage while still allowing efficient step control by embedded solutions.

Keywords

Parallel Implementation Access Distance Stepsize Control Argument Vector Neighboring Processor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Matthias Korch
    • 1
  • Thomas Rauber
    • 1
  1. 1.Department of Computer ScienceUniversity of BayreuthGermany

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