Parallel Implementation of Median String Algorithms

Among the different heuristics proposed to solve the median string problem, only a few algorithms achieve bounded approximations to the theoretical median string. This family of algorithms is relatively slow. For datasets that exceed hundreds of strings, it takes tens of hours to achieve a result. T...

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Bibliographic Details
Published in:Proceedings - International Conference of the Chilean Computer Science Society pp. 1 - 6
Main Authors: Mirabal, Pedro, Lincolao-Venegas, Ignacio, Castillo-Sanhueza, Mario, Abreu, Jose
Format: Conference Proceeding
Language:English
Published: IEEE 15.11.2021
Subjects:
Approximation algorithms
Computer science
edit distance
Heuristic algorithms
median string
paralell algorithms
Parallel processing
perturbation-based algorithms
ISSN:2691-0632
Online Access:Get full text
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Summary:Among the different heuristics proposed to solve the median string problem, only a few algorithms achieve bounded approximations to the theoretical median string. This family of algorithms is relatively slow. For datasets that exceed hundreds of strings, it takes tens of hours to achieve a result. This behavior limits the applications of these algorithms to real problems where the volume of data is increasing. In this paper, we present a parallelized implementation of a Perturbation-based heuristic to solve the median string problem. A set of experiments is developed that allows us to compare the parallel implementation with its sequential equivalent. Results show that while data increases, the advantage of using parallelism for this problem becomes more evident.
ISSN:2691-0632
DOI:10.1109/SCCC54552.2021.9650389