Abstract
With the greater importance of parallel architectures such as GPUs or Xeon Phi accelerators, the scientific community has developed efficient solutions in the bioinformatics field. In this context, FPGAs begin to stand out as high performance devices with moderate power consumption. This paper presents and evaluates a parallel strategy of the well-known Smith-Waterman algorithm using OpenCL on Intel/Altera’s FPGA for long DNA sequences. We efficiently exploit data and pipeline parallelism on a Intel/Altera Stratix V FPGA reaching upto 114 GCUPS in less than 25 watt power requirements.
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Notes
- 1.
Sequences are available in http://www.ncbi.nlm.nih.gov.
- 2.
The symbol ‘-’ indicates an alignment that can not be computed because the optimal score exceeds the corresponding maximum value.
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Acknowledgments
This work has been partially supported by Spanish government through research contract TIN2015-65277-R and CAPAP-H5 network (TIN2014-53522).
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Rucci, E., Garcia, C., Botella, G., De Giusti, A., Naiouf, M., Prieto-Matias, M. (2017). Accelerating Smith-Waterman Alignment of Long DNA Sequences with OpenCL on FPGA. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2017. Lecture Notes in Computer Science(), vol 10209. Springer, Cham. https://doi.org/10.1007/978-3-319-56154-7_45
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