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Evaluating the Energy Efficiency of OpenCL-accelerated Auto..:
, In:
2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
,
Solis-Vasquez, Leonardo
;
Santos-Martins, Diogo
;
Koch, Andreas
. - p. 162-166 , 2020
Link:
https://doi.org/10.1109/PDP50117.2020.00031
RT T1 <cTitle>2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)</cTitle>: T1 <Title>Evaluating the Energy Efficiency of OpenCL-accelerated AutoDock Molecular Docking</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9092332&Exemplar=1&LAN=DE A1 Solis-Vasquez, Leonardo A1 Santos-Martins, Diogo A1 Koch, Andreas A1 Forli, Stefano YR 2020 SN 2377-5750 K1 Genetic algorithms K1 Graphics processing units K1 Parallel processing K1 Sociology K1 Statistics K1 Kernel K1 Power measurement K1 Energy efficiency K1 power profiling K1 OpenCL K1 molecular docking K1 AutoDock K1 gradients SP 162 OP 166 LK http://dx.doi.org/https://doi.org/10.1109/PDP50117.2020.00031 DO https://doi.org/10.1109/PDP50117.2020.00031 SF ELIB - SuUB Bremen
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