2026-05-30T05:50:17Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/137782026-02-03T12:02:33Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Pérez-Serrano, Jesús author Sandes, Edans author Melo, Alba author Ujaldon-Martínez, Manuel author 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 energy consumption are monitored on different stages of the algorithm with the goal of identifying advantageous sce- narios to maximize acceleration and minimize power consumption. Ex- perimental results using CUDA on a set of GeForce GTX 980 GPUs illustrate their capabilities as high-performance and low-power devices, with a energy cost to be more attractive when increasing the number of GPUs. Overall, our results demonstrate a good correlation between the performance attained and the extra energy required, even in scenarios where multi-GPUs do not show great scalability. http://hdl.handle.net/10630/13778 Ácido desoxirribonucleico Smith-Waterman Acceleration in Multi-GPUs: A Performance per Watt Analysis