RT Conference Proceedings
T1 DNA Sequences Alignment in Multi-GPUs: Energy Payoff on Speculative Executions
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.
YR 2017
FD 2017-05-30
LK http://hdl.handle.net/10630/13777
UL http://hdl.handle.net/10630/13777
LA eng
NO Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026