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Abstract: Runge-Kutta methods are popular methods for the solution of systems of ordinary differential equations and are provided by many scientific libraries. The performance of Runge-Kutta methods does not only depend on the specific application problem to be solved but also on the characteristics of the target machine. For processors with memory hierarchy, the locality of data referencing pattern has a large impact on the efficiency of a program. In this paper, we describe program transformations for... (Update)
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BibTeX entry: (Update)
@inproceedings{ rauber01optimizing,
author = "Thomas Rauber and Gudula R{\"u}nger",
title = "Optimizing locality for {ODE} solvers",
booktitle = "International Conference on Supercomputing",
pages = "123--132",
year = "2001",
url = "citeseer.ist.psu.edu/539201.html" }
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