Abstract In this work we discuss the benefits of using massively parallel architec- tures for the optimization of Virtual Screening methods. We empirically ...
In this work we discuss the benefits of using massively parallel architectures for the optimization of Virtual Screeningmethods.
In this work we discuss the benefits of using massively parallel architectures for the optimization of Virtual Screeningmethods.
Virtual Screening (VS) methods can considerably aid clinical research, predicting how ligands interact with drug targets. Most VS methods suppose a unique ...
Effective parallelization of non-bonded interactions kernel for virtual screening on GPUs ; Publikationsjahr, 2011 ; Sprache, Englisch ; Identifikator, ISBN: 978-3 ...
In this work, we discuss the effective parallelization of the non-bonded electrostatic interactions kernel for VS on three different parallel architectures: a ...
By comparison, GPUs like. Nvidia K20x prefer the AOS-style data structures. • – Nvidia K20x significantly outperforms Intel Xeon Phi on. Virtual Screening when ...
Missing: Effective | Show results with:Effective
In this work, we discuss the effective parallelization of the non-bonded electrostatic computation for VS, and evaluate its performance on these two ...
Jan 1, 2015 · Virtual Screening (VS) methods can considerably aid clinical research, predicting how ligands interact with drug targets.
Missing: Effective | Show results with:Effective
Enhancing the parallelization of non-bonded interactions kernel for virtual screening on GPUs. In International Conference on Bioinformatics and Biomedical ...