Accelerating Molecular Docking by Parallelized Heterogeneous Computing - A Case Study of Performance, Quality of Results, and Energy-Efficiency using CPUs, GPUs, and FPGAs.
L. Solis-Vasquez. Darmstadt University of Technology, Germany, (2019)
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%0 Thesis
%1 phd/dnb/Vasquez19
%A Solis-Vasquez, Leonardo
%D 2019
%K dblp
%T Accelerating Molecular Docking by Parallelized Heterogeneous Computing - A Case Study of Performance, Quality of Results, and Energy-Efficiency using CPUs, GPUs, and FPGAs.
@phdthesis{phd/dnb/Vasquez19,
added-at = {2021-07-17T00:00:00.000+0200},
author = {Solis-Vasquez, Leonardo},
biburl = {https://www.bibsonomy.org/bibtex/2e63f8c572280d34a770d5bb4905ec252/dblp},
ee = {https://d-nb.info/1201086671},
interhash = {bd3d1714fe56b0fa9fd9b1036da1034c},
intrahash = {e63f8c572280d34a770d5bb4905ec252},
keywords = {dblp},
school = {Darmstadt University of Technology, Germany},
timestamp = {2024-04-09T08:18:28.000+0200},
title = {Accelerating Molecular Docking by Parallelized Heterogeneous Computing - A Case Study of Performance, Quality of Results, and Energy-Efficiency using CPUs, GPUs, and FPGAs.},
year = 2019
}
