0000000000931273

AUTHOR

Andrea Beccari

showing 1 related works from this author

Improving computation efficiency using input and architecture features for a virtual screening application

2023

Virtual screening is an early stage of the drug discovery process that selects the most promising candidates. In the urgent computing scenario it is critical to find a solution in a short time frame. In this paper, we focus on a real-world virtual screening application to evaluate out-of-kernel optimizations, that consider input and architecture features to improve the computation efficiency on GPU. Experiment results on a modern supercomputer node show that we can almost double the performance. Moreover, we implemented the optimization using SYCL and it provides a consistent benefit with the CUDA optimization. A virtual screening campaign can use this gain in performance to increase the nu…

Computational Engineering Finance and Science (cs.CE)FOS: Computer and information sciencesComputer Science - Distributed Parallel and Cluster ComputingHardware Architecture (cs.AR)Distributed Parallel and Cluster Computing (cs.DC)Computer Science - Computational Engineering Finance and ScienceComputer Science - Hardware Architecture
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