Analysis of the Performance of Genetic Algorithm Parallelized with OpenMP Through Execution Traces

Authors

  • Gabriella Lopes Andrade Universidade Federal do Pampa
  • Marcia Cristina Cera Universidade Federal do Pampa

DOI:

https://doi.org/10.22456/2175-2745.85091

Keywords:

Genetic Algorithms, OpenMP, Paralelization, Performance, Score-P, Tracking, Vampir, Vehicle Routing Problem

Abstract

Run tracing allows you to identify issues affecting the performance of parallel applications. This work consists in evaluating the parallelization of a Genetic Algorithm applied to the Vehicle Routing Problem with OpenMP, where the performance obtained was not ideally expected. Being that it was possible to obtain a performance increase of 1.4 times in the architecture used, however, but still below ideal. Therefore, the general objective of this work is to investigate the causes of the low performance obtained by the Genetic Algorithm, performing an analysis from the execution traces. Our results showed that the parallelization of the Genetic Algorithm is according to the model in which it was implemented and to the set of instances of the target Vehicle Routing Problem used.

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Published

2019-08-03

How to Cite

Andrade, G. L., & Cera, M. C. (2019). Analysis of the Performance of Genetic Algorithm Parallelized with OpenMP Through Execution Traces. Revista De Informática Teórica E Aplicada, 26(2), 45–54. https://doi.org/10.22456/2175-2745.85091

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Section

Regular Papers