Andreas F. Tillack

Orcid: 0000-0002-1832-3030

According to our database1, Andreas F. Tillack authored at least 10 papers between 2018 and 2023.

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Bibliography

2023
Reactive Docking: A Computational Method for High-Throughput Virtual Screenings of Reactive Species.
J. Chem. Inf. Model., September, 2023

Ringtail: A Python Tool for Efficient Management and Storage of Virtual Screening Results.
J. Chem. Inf. Model., April, 2023

2022
Benchmarking the performance of irregular computations in AutoDock-GPU molecular docking.
Parallel Comput., 2022

2021
AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings.
J. Chem. Inf. Model., 2021

High-throughput virtual laboratory for drug discovery using massive datasets.
Int. J. High Perform. Comput. Appl., 2021

2020
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.
J. Chem. Inf. Model., 2020

Pre-exascale accelerated application development: The ORNL Summit experience.
IBM J. Res. Dev., 2020

Parallelizing Irregular Computations for Molecular Docking.
Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2020

GPU-Accelerated Drug Discovery with Docking on the Summit Supercomputer: Porting, Optimization, and Application to COVID-19 Research.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2018
Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation.
Proceedings of the Accelerator Programming Using Directives - 5th International Workshop, 2018


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