Exploring the viability of the Cell Broadband Engine for bioinformatics applications
β Scribed by Vipin Sachdeva; Michael Kistler; Evan Speight; Tzy-Hwa Kathy Tzeng
- Book ID
- 104076938
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 440 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0167-8191
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β¦ Synopsis
This paper evaluates the performance of bioinformatics applications on the Cell Broadband Engine (Cell/B.E.) recently developed at IBM. In particular we focus on three highly popular bioinformatics applications -FASTA, ClustalW, and HMMER. The characteristics of these bioinformatics applications, such as small critical time-consuming code size, regular memory accesses, existing vectorized code and embarrassingly parallel computation, make them uniquely suitable for the Cell/B.E. processing platform. The price and power advantages afforded by the Cell/B.E. processor also make it an attractive alternative to general purpose processors. We report preliminary performance results for these applications, and contrast these results with the state-of-the-art hardware.
π SIMILAR VOLUMES
## SUMMARY We investigated the use of the Cell Broadband Engine (Cell/BE) for constraintβbased local search and combinatorial optimization applications. We presented a parallel version of a constraintβbased local search algorithm that was chosen because it fits very well the Cell/BE architecture be