RT Conference Proceedings
T1 Smith-Waterman Acceleration in Multi-GPUs: A Performance per Watt Analysis
A1 Pérez-Serrano, Jesús
A1 Sandes, Edans
A1 Melo, Alba
A1 Ujaldon-Martínez, Manuel
K1 Ácido desoxirribonucleico
AB 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.
PB Springer
YR 2017
FD 2017
LK http://hdl.handle.net/10630/13778
UL http://hdl.handle.net/10630/13778
LA eng
NO Artículo publicado en el libro de actas del congreso.
NO Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 25 ene 2026