Distributed Algorithm for Parallel Edit Distance Computation
DOI:
https://doi.org/10.31577/cai_2020_4_757Keywords:
Edit distance, dynamic programming, parallel computing, distributed memory system, MPI, OpenMP, speedupAbstract
The edit distance is the measure that quantifies the difference between two strings. It is an important concept because it has its usage in many domains such as natural language processing, spell checking, genome matching, and pattern recognition. Edit distance is also known as Levenshtein distance. Sequentially, the edit distance is computed by using dynamic programming based strategy that may not provide results in reasonable time when input strings are large. In this work, a distributed algorithm is presented for parallel edit distance computation. The proposed algorithm is both time and space efficient. It is evaluated on a hybrid setup of distributed and shared memory systems. Results suggest that the proposed algorithm achieves significant performance gain over the existing parallel approach.Downloads
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Published
2021-01-12
How to Cite
Sadiq, M. U., & Yousaf, M. M. (2021). Distributed Algorithm for Parallel Edit Distance Computation. Computing and Informatics, 39(4), 757–779. https://doi.org/10.31577/cai_2020_4_757
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Special Section Articles