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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Korch, M., & Rauber, T. (2006). Simulation-based analysis of parallel runge-kutta solvers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3732 LNCS, pp. 1105–1114). https://doi.org/10.1007/11558958_133
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