Listar por autor "Pérez-Serrano, Jesús"
Mostrando ítems 1-4 de 4
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DNA Sequences Alignment in Multi-GPUs: Energy Payoff on Speculative Executions
Pérez-Serrano, Jesús; Sandes, Edans; Melo, Alba; Ujaldon-Martínez, Manuel
(2017-05-30)
We present a performance per watt analysis of CUDAlign 4.0, a parallel strategy to obtain the optimal alignment of huge DNA se- quences in multi-GPU platforms using the exact Smith-Waterman method. Speed-up factors and ... -
Energy-based tuning of convolution neural networks on multi-GPUs
Castro Payán, Francisco Manuel; Guil-Mata, Nicolás; Marín Jiménez, Manuel Jesús; Pérez-Serrano, Jesús; Ujaldon-Martínez, Manuel (Wiley, 2019-11)
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 ... -
Energy-based tuning of metaheuristics for molecular docking on multi-GPUs
Pérez-Serrano, Jesús; Imbernón, Baldomero; Cecilia, José María; Ujaldon-Martínez, Manuel (Wiley, 2018-09)
Virtual Screening (VS) methods simulate molecular interactions in silico to look for the best chemical compound that interacts with a given molecular target. VS is becoming increasingly popular to accelerate the drug ... -
Smith-Waterman Acceleration in Multi-GPUs: A Performance per Watt Analysis
Pérez-Serrano, Jesús; Sandes, Edans; Melo, Alba; Ujaldon-Martínez, Manuel (Springer, 2017)
We present a performance per watt analysis of CUDAlign 4.0, a parallel strategy to obtain the optimal alignment of huge DNA se- quences in multi-GPU platforms using the exact Smith-Waterman method. Speed-up factors and ...