A Dynamic Load Balancing Technique for Parallel Execution of Structured Grid Models

Andrea Giordano,Alessio De Rango,William Spataro,Donato D’Ambrosio,Rocco Rongo

doi:10.1007/978-3-030-39081-5_25

A Dynamic Load Balancing Technique for Parallel Execution of Structured Grid Models

Andrea Giordano, Alessio De Rango + Show 3 more

https://doi.org/10.1007/978-3-030-39081-5_25

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Publication Date: Jan 1, 2020

Citations: 5

Affiliation: University of Calabria, Institute for High Performance Computing and Networking

#Distributed Memory Architectures #MPI Technology + Show 8 more

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Abstract

Partitioning computational load over different processing elements is a crucial issue in parallel computing. This is particularly relevant in the case of parallel execution of structured grid computational models, such as Cellular Automata (CA), where the domain space is partitioned in regions assigned to the parallel computing nodes. In this work, we present a dynamic load balancing technique that provides for performance improvements in structured grid model execution on distributed memory architectures. First tests implemented using the MPI technology have shown the goodness of the proposed technique in sensibly reducing execution times with respect to not-balanced parallel versions.

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