Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Manuel Ujaldón"'
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
Publikováno v:
Sustainable Computing: Informatics and Systems. 20:88-101
This paper performs a complete study on performance and energy efficiency of biomedical codes when accelerated on GPUs (Graphics Processing Units). We have selected a benchmark composed of three different building blocks which constitute the pillars
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ee7b48ca4a338d4e4764f2232168cf8
https://doi.org/10.1016/j.suscom.2018.01.001
https://doi.org/10.1016/j.suscom.2018.01.001
Autor:
José M. García, Antonio Llanes, Manuel Ujaldón, Martyn Amos, José M. Cecilia, Antonia M. Sánchez
Publikováno v:
RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murcia
instname
instname
Ant colony optimisation (ACO) is a nature-inspired, population-based metaheuristic that has been used to solve a wide variety of computationally hard problems. In order to take full advantage of the inherently stochastic and distributed nature of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6710ff0b1692331329aa7fc815f07dcd
https://doi.org/10.1007/s10586-016-0534-4
https://doi.org/10.1007/s10586-016-0534-4
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e78d4bcf6c00ad40f11a29d8435b59dc
https://doi.org/10.1186/s12859-018-2389-6
https://doi.org/10.1186/s12859-018-2389-6
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aef870266c68f16869bde3486a17011
https://doi.org/10.1002/cpe.4786
https://doi.org/10.1002/cpe.4786
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:
Communications in Computer and Information Science ISBN: 9783319579719
CARLA
CARLA
We present a study on Matrix-Vector Product operations in the Maxwell GPU generation through the PyCUDA python library. Through this lens, a broad analysis is performed over different memory management schemes. We identify the approaches that result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51477a192a73393dcd46de2bd860e595
https://doi.org/10.1007/978-3-319-57972-6_16
https://doi.org/10.1007/978-3-319-57972-6_16
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 4:146-163
We investigate the use of Legendre moments as biomarkers for an efficient and accurate classification of bone tissue on images coming from stem cell regeneration studies. Legendre moments are analysed from three different perspectives: (1) their disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1582e5e73b2072eef6de747974a4a6f
https://doi.org/10.1080/21681163.2014.922437
https://doi.org/10.1080/21681163.2014.922437
Publikováno v:
The Journal of Supercomputing. 69:248-272
Membrane computing is an emergent research area studying the behavior of living cells to define bio-inspired computing devices, also called P systems. Such devices provide polynomial time solutions to NP-complete problems by trading time for space. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9c65998b1202ee188001ea24858f1e9
https://doi.org/10.1007/s11227-014-1150-9
https://doi.org/10.1007/s11227-014-1150-9
Autor:
José M. García, José M. Cecilia, Antonio Llanes, Manuel Ujaldón, Martyn Amos, Ginés D. Guerrero
Publikováno v:
RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murcia
instname
instname
This is a post-peer-review, pre-copyedit version of an article published in Journal of Supercomputing. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11227-014-1154-5 The rapidly growing field of nature-inspired co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b27da8f025c34f1a3c36a887ad92c74
https://doi.org/10.1007/s11227-014-1154-5
https://doi.org/10.1007/s11227-014-1154-5