Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jesús Pérez-Serrano"'
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S14, Pp 161-176 (2018)
Abstract Background We present a performance per watt analysis of CUDAlign 4.0, a parallel strategy to obtain the optimal pairwise alignment of huge DNA sequences in multi-GPU platforms using the exact Smith-Waterman method. Results Our study include
Externí odkaz:
https://doaj.org/article/62e3e43cb2cd4809951920df14984514
Autor:
Edans Flavius de Oliveira Sandes, Manuel Ujaldón, Jesús Pérez-Serrano, Alba Cristina Magalhaes Alves de Melo
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S14, Pp 161-176 (2018)
BMC Bioinformatics
BMC Bioinformatics
Background We present a performance per watt analysis of CUDAlign 4.0, a parallel strategy to obtain the optimal pairwise alignment of huge DNA sequences in multi-GPU platforms using the exact Smith-Waterman method. Results Our study includes acceler
Autor:
Manuel J. Marín-Jiménez, Jesús Pérez-Serrano, Francisco M. Castro, Manuel Ujaldón, Nicolás Guil
Publikováno v:
Concurrency and Computation: Practice and Experience. 31
Deep Learning (DL) applications are gaining momentum in the realm of Artificial Intelligence, particularly after GPUs have demonstrated remarkable skills for accelerating their challenging computational requirements. Within this context, Convolutiona
Autor:
Edans Flavius de Oliveira Sandes, Alba Cristina Magalhaes Alves de Melo, Jesús Pérez Serrano, Manuel Ujaldón
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783319561530
IWBBIO (2)
IWBBIO (2)
We present a performance per watt analysis of CUDAlign 4.0, a parallel strategy to obtain the optimal alignment of huge DNA sequences in multi-GPU platforms using the exact Smith-Waterman method. Speed-up factors and energy consumption are monitored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03ec520a94dd17f539e80606ffc3376b
https://doi.org/10.1007/978-3-319-56154-7_46
https://doi.org/10.1007/978-3-319-56154-7_46
Publikováno v:
Concurrency and Computation: Practice and Experience. 30:e4684