SURE-Pipe Benchmarking (scalability)
Description
Computational scalability assessment of SURE-Pipe Computational performance of SURE-Pipe was evaluated using two simulation-based benchmarking strategies with default tool parameters. First, genome-size scalability was assessed using datasets containing five target and five neighbouring genomes, with genome sizes ranging from 0.1 Mb to 640 Mb. Second, genome-number scalability was evaluated using fixed 5 Mb genomes while progressively increasing dataset sizes at a 1:4 target-to-neighbour ratio, from 5T:20N up to 160T:640N genomes. Runtime and peak memory usage were measured using /usr/bin/time. All analyses were performed on a Pop!OS 22.04 LTS workstation equipped with an Intel® Xeon® E-2124G CPU (4 cores, 3.40 GHz) and 16 GB RAM. These experiments demonstrated the scalability and computational efficiency of SURE-Pipe across diverse genome sizes and dataset complexities while maintaining high detection accuracy for unique and shared genomic regions.
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Institutions
- Manipal Academy of Higher EducationKarnataka, Manipal