Andrea Beccari

Orcid: 0000-0001-6830-2695

According to our database1, Andrea Beccari authored at least 41 papers between 2011 and 2024.

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Bibliography

2024
"DompeKeys": a set of novel substructure-based descriptors for efficient chemical space mapping, development and structural interpretation of machine learning models, and indexing of large databases.
J. Cheminformatics, December, 2024

Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs.
J. Supercomput., May, 2024

GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis.
J. Parallel Distributed Comput., April, 2024

Enabling performance portability on the LiGen drug discovery pipeline.
Future Gener. Comput. Syst., 2024

Exploring the future of biopharmaceutical drug discovery: can advanced AI platforms overcome current challenges?
Discov. Artif. Intell., 2024

Molecular Docking via Weighted Subgraph Isomorphism on Quantum Annealers.
CoRR, 2024

A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems.
CoRR, 2024

A geometric XAI approach to protein pocket detection.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Unlocking performance portability on LUMI-G supercomputer: A virtual screening case study.
Proceedings of the 12th International Workshop on OpenCL and SYCL, 2024

ZSMILES: An Approach for Efficient SMILES Storage for Random Access in Virtual Screening.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024


2023
ProfhEX: AI-based platform for small molecules liability profiling.
J. Cheminformatics, December, 2023

A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations.
J. Comput. Phys., October, 2023

EXSCALATE: An Extreme-Scale Virtual Screening Platform for Drug Discovery Targeting Polypharmacology to Fight SARS-CoV-2.
IEEE Trans. Emerg. Top. Comput., 2023

Improving computation efficiency using input and architecture features for a virtual screening application.
CoRR, 2023

Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023


2022
GPU-optimized Approaches to Molecular Docking-based Virtual Screening in Drug Discovery: A Comparative Analysis.
CoRR, 2022

GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection.
CoRR, 2022

Towards a Portable Drug Discovery Pipeline with SYCL 2020.
Proceedings of the IWOCL'22: International Workshop on OpenCL, Bristol, United Kingdom, May 10, 2022

An extreme-scale virtual screening platform for drug discovery.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021
Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App.
J. Supercomput., 2021

"Molecular Anatomy": a new multi-dimensional hierarchical scaffold analysis tool.
J. Cheminformatics, 2021

EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers.
CoRR, 2021

2019
Exploiting OpenMP and OpenACC to accelerate a geometric approach to molecular docking in heterogeneous HPC nodes.
J. Supercomput., 2019

The ANTAREX domain specific language for high performance computing.
Microprocess. Microsystems, 2019

Exploiting OpenMP & OpenACC to Accelerate a Molecular Docking Mini-App in Heterogeneous HPC Nodes.
CoRR, 2019

The ANTAREX Domain Specific Language for High Performance Computing.
CoRR, 2019


An hybrid approach to accelerate a molecular docking application for virtual screening in heterogeneous nodes: POSTER.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018
ADPredict: ADP-ribosylation site prediction based on physicochemical and structural descriptors.
Bioinform., 2018

Accelerating a Geometric Approach to Molecular Docking with OpenACC.
Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, 2018

ANTAREX: A DSL-Based Approach to Adaptively Optimizing and Enforcing Extra-Functional Properties in High Performance Computing.
Proceedings of the 21st Euromicro Conference on Digital System Design, 2018


2017
The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems.
Proceedings of the 2017 International Conference on Embedded Computer Systems: Architectures, 2017

2016
Autotuning and adaptivity approach for energy efficient Exascale HPC systems: The ANTAREX approach.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems.
Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016

2015
ANTAREX - AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems.
Proceedings of the 18th IEEE International Conference on Computational Science and Engineering, 2015

2013
LiGen: A High Performance Workflow for Chemistry Driven de Novo Design.
J. Chem. Inf. Model., 2013

Use of Experimental Design To Optimize Docking Performance: The Case of LiGenDock, the Docking Module of Ligen, a New De Novo Design Program.
J. Chem. Inf. Model., 2013

2011
Discovering HDAC class II selective inhibitors by multidisciplinary approach.
J. Cheminformatics, 2011


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