000			01681naa a2200289 a 4500
003			AR-LpUFIB
005			20250311170452.0
008			230201s2017 xx o 000 0 eng d
024	8		_aDIF-M7761 _b7980 _zDIF007090
040			_aAR-LpUFIB _bspa _cAR-LpUFIB
100	1		_aRucci, Enzo
245	1	0	_aAccelerating Smith-Waterman alignment of long DNA sequences with OpenCL on FPGA
300			_a1 archivo (703,6 kB)
500			_aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
520			_aWith 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.
534			_aIWBBIO 2017. International Conference on Bioinformatics and Biomedical Engineering (2017 : Granada, España)
650		4	_aARQUITECTURAS PARALELAS
650		4	_aCOMPUTACIÓN DE ALTO RENDIMIENTO - HPC
653			_aADN
700	1		_aGarcía, Carlos Diego
700	1		_aBotella, Guillermo
700	1		_aDe Giusti, Armando Eduardo
700	1		_aNaiouf, Ricardo Marcelo
700	1		_aPrieto-Matias, Manuel
856	4	0	_uhttps://doi.org/10.1007/978-3-319-56154-7_45
942			_cCP
999			_c56866 _d56866