Task pool teams implementation of the master equation approach for random Sierpinski carpets

6Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

We consider the use of task pool teams in implementation of the master equation on random Sierpinski carpets. Though the basic idea of dynamic storage of the probability density reported earlier applies straightforward to random carpets, the randomized construction breaks up most of the simplifications possible for regular carpets. In addition, parallel implementations show highly irregular communication patterns. We compare four implementations on three different Beowulf-Cluster architectures, mainly differing in throughput and latency of their interconnection networks. It appears that task pool teams provide a powerful programming paradigm for handling the irregular communication patterns that arise in our application and show a promising approach to efficiently handle the problems that appear with such randomized structures. This will allow for highly improved modelling of anomalous diffusion in porous media, taking the random structure of real materials into account. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Hoffmann, K. H., Hofmann, M., Rünger, G., & Seeger, S. (2006). Task pool teams implementation of the master equation approach for random Sierpinski carpets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4128 LNCS, pp. 1043–1052). Springer Verlag. https://doi.org/10.1007/11823285_110

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free