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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Giraldo, J.F.E. Moreano, N. Jacobi, R.P. de Melo, A.C.M.A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical Engineering, University of Brasilia, DF, Brazil (Giraldo, J.F.E.) || Department of Computer Science, University of Brasilia, DF, Brazil (Jacobi, R.P.; de Melo, A.C.M.A.) || School of Computing, University of Mato Grosso do Sul, Campo Grande/MS, Brazil (Moreano, N.) |
| Abstract | As new protein sequences are discovered on an everyday basis and protein databases continue to grow exponentially with time, computational tools take more and more time to search protein databases to discover the common ancestors of them. HMMER is among the most used tools in protein search and comparison and multiple efforts have been made to accelerate its execution by using dedicated hardware prototyped on FPGAs. In this paper we introduce a novel algorithm called the Divergence Algorithm, which not only enables the FPGA accelerator to reduce execution time, but also enables further acceleration of the alignment generation algorithm of the HMMER programs by reducing the number of cells of the Dynamic Programming matrices it has to calculate. We also propose a more accurate performance measurement strategy that considers all the execution times while doing protein searches and alignments, while other works only consider hardware execution times and do not include alignment generation times. Using our proposed hardware accelerator and the Divergence Algorithm, we were able to achieve gains up to 182x when compared to the unaccelerated HMMER software running on a general purpose CPU. |
| Starting Page | 405 |
| Ending Page | 410 |
| File Size | 353414 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424470549 |
| ISSN | 15301591 |
| e-ISBN | 9783981080162 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-08 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | European Design Automation Association (EDAA) |
| Subject Keyword | Hidden Markov models Hardware Proteins Databases Acceleration Field programmable gate arrays Prototypes Dynamic programming Measurement Software algorithms FPGA Bioinformatics Hidden Markov Models HMMER Hardware accelerator |
| Content Type | Text |
| Resource Type | Article |
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