dc.contributor.authorGuisado, J. L.
dc.contributor.authorde Vega, F. Fernandez.
dc.contributor.authorMorales, F. Jimenez.
dc.contributor.authorIskra, K. A.
dc.contributor.authorSloot, Peter M. A.
dc.identifier.citationGuisado, J. L., de Vega, F. F., Morales, F. J., Iskra, K. A., & Sloot, P. M. A. (2008). Using cellular automata for parallel simulation of laser dynamics with dynamic load balancing. International Journal of High Performance Systems Architecture, 1(4), 251-259.en_US
dc.description.abstractWe present an analysis of the feasibility of executing a parallel bioinspired model of laser dynamics, based on cellular automata (CA), on the usual target platform of this kind of applications: a heterogeneous non-dedicated cluster. As this model employs a synchronous CA, using the single program, multiple data (SPMD) paradigm, it is not clear in advance if an appropriate efficiency can be obtained on this kind of platform. We have evaluated its performance including artificial load to simulate other tasks or jobs submitted by other users. A dynamic load balancing strategy with two main differences from most previous implementations of CA based models has been used. First, it is possible to migrate load to cluster nodes initially not belonging to the pool. Second, a modular approach is taken in which the model is executed on top of a dynamic load balancing tool – the Dynamite system – gaining flexibility. Very satisfactory results have been obtained, with performance increases from 60% to 80%.en_US
dc.relation.ispartofseriesInternational journal of high performance systems architectureen_US
dc.rights© 2008 Inderscience Enterprises Ltd.en_US
dc.titleUsing cellular automata for parallel simulation of laser dynamics with dynamic load balancingen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Computer Engineeringen_US

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