Abstract

Due to the ever-increasing size of sequence databases it has become clear that faster techniques must be employed to effectively perform biological sequence analysis in a reasonable amount of time. Exploiting the inherent parallelism between sequences is a common strategy. In this paper we enhance both the fine-grained and course-grained parallelism within the HMMER sequence analysis suite. Our strategies are complementary to one another and, where necessary, can be used as drop-in replacements to the strategies already provided within HMMER. We use conventional processors (Intel Pentium IV Xeon) as well as the freely available MPICH parallel programming environment. Our results show that the MPICH implementation greatly outperforms the PVM HMMER implementation, and our SSE2 implementation also lends greater computational power at no cost to the user.

Keywords

Computer scienceParallel computingSuitePentiumXeon PhiXeonSequence (biology)Parallelism (grammar)Operating system

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Publication Info

Year
2006
Type
article
Pages
6 pp.-294
Citations
35
Access
Closed

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Cite This

John Paul Walters, Bashar Qudah, Vipin Chaudhary (2006). Accelerating the HMMER sequence analysis suite using conventional processors. 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06) , 6 pp.-294. https://doi.org/10.1109/aina.2006.68

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DOI
10.1109/aina.2006.68

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