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Global computing for bioinformatics. | LitMetric

Global computing for bioinformatics.

Brief Bioinform

Microbial Ecology Group, Department of Biosciences, Technische Universität München, Weihenstephaner Berg 3, 85354 Freising, Germany.

Published: December 2002

AI Article Synopsis

  • Global computing harnesses the idle processing power of personal computers over the Internet, similar to SETI@home, to create a powerful platform for massive parallel processing.
  • It discusses the historical milestones, opportunities in bioinformatics, and suitable problem types for this computing approach, while also analyzing successful projects and existing software frameworks.
  • The evaluation indicates that global computing can be highly effective when problems are well-defined and appropriate frameworks are used, allowing for significant computing resources to be tapped from the public or intra-organizational networks.

Article Abstract

Global computing, the collaboration of idle PCs via the Internet in a SETI@home style, emerges as a new way of massive parallel multiprocessing with potentially enormous CPU power. Its relations to the broader, fast-moving field of Grid computing are discussed without attempting a review of the latter. This review (i) includes a short table of milestones in global computing history, (ii) lists opportunities global computing offers for bioinformatics, (iii) describes the structure of problems well suited for such an approach, (iv) analyses the anatomy of successful projects and (v) points to existing software frameworks. Finally, an evaluation of the various costs shows that global computing indeed has merit, if the problem to be solved is already coded appropriately and a suitable global computing framework can be found. Then, either significant amounts of computing power can be recruited from the general public, or--if employed in an enterprise-wide Intranet for security reasons--idle desktop PCs can substitute for an expensive dedicated cluster.

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Source
http://dx.doi.org/10.1093/bib/3.4.377DOI Listing

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