A Dynamic Load Balancing Technique for Parallel Execution of Structured Grid Models
Autor: | William Spataro, Alessio De Rango, Donato D'Ambrosio, Rocco Rongo, Andrea Giordano |
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Rok vydání: | 2020 |
Předmět: | |
Zdroj: | Lecture Notes in Computer Science ISBN: 9783030390808 NUMTA(1) |
Popis: | 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. |
Databáze: | OpenAIRE |
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