OSCAR and Bioinformatics

With new cluster deployment and management tools, you can set up a 64-node cluster in an hour, then put it to work on your research.
Conclusion

The OSCAR Toolkit has come a long way since its first release. More and more people have found it easy to use and deploy—the key to getting clustering technology more widely adopted. Bioinformatics will continue to grow with high-performance computing. Soon, it is likely that cluster toolkits geared toward the bioinformatics community will become more widely available—a solution that includes all the tools for running parallel bioinformatics applications and is easy to install and deploy.

Acknowledgements

The author would like to thank Mark Mayo, Asim Siddiqui and Steven Jones for giving him the opportunity to work on the Linux cluster at the GSC and for identifying OSCAR as the tool to use. The author also would like to thank the OSCAR core team, developers and users for creating a great community for sharing HPC knowledge and information. Last, but not the least, the folks at NCSA who contributed much time and effort into the OSCAR Project. Personal thanks to Jeremy Enos, Ren�Warren and Martin Krzywinski for providing valuable comments and suggestions for this article.

Resources for this article: /article/7760.

Bernard Li is a High-Performance Computing Specialist at Canada's Michael Smith Genome Sciences Centre. He spends time managing the Linux cluster infrastructure and integrating bioinformatics applications with the cluster. He is a core developer for OSCAR and a fan of Sun Grid Engine. He can be reached at bli@bcgsc.ca.

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