Parallelism in bioinformatics workflows

Authors:
Luiz A. V. C. Meyer;Shaila C. Rössle;Paulo M. Bisch;Marta Mattoso
Affiliations:
Computer Science Department – COPPE, Federal University of Rio de Janeiro;Institute of Biophysics – IBCCF, Federal University of Rio de Janeiro;Institute of Biophysics – IBCCF, Federal University of Rio de Janeiro;Computer Science Department – COPPE, Federal University of Rio de Janeiro
Venue:
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
Year:
2004

Citing 14
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Abstract

Parallel processing is frequently used in bioinformatics programs and in Database Management Systems to improve their performance. Parallelism can be also used to improve performance of a combination of programs in bioinformatics workflows. This work presents a characterization of parallel processing in scientific workflows and shows real experimental results with different configurations for data and programs distribution within bioinformatics workflow execution. The implementation was done with real structural genomic and automatic comparative annotation workflows and the experiments run on a cluster of PCs.