Andrea R. Beccari

ANTAREX: A DSL-Based Approach to Adaptively Optimizing and Enforcing Extra-Functional Properties in High Performance Computing

Luca Benini, Andrea Bartolini, Carlo Cavazzoni, 2018, 2018 21st Euromicro Conference on Digital System Design (DSD).

The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems

Luca Benini, Andrea Bartolini, Carlo Cavazzoni, 2017, 2017 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS).

A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0

Torsten Schwede, Alessandro Pedretti, Andrea R. Beccari, 2020, International journal of molecular sciences.

ADPredict: ADP-ribosylation site prediction based on physicochemical and structural descriptors

Andrea R. Beccari, Candida Manelfi, Matteo Lo Monte, 2018, Bioinform..

Supporting the Scale-Up of High Performance Application to Pre-Exascale Systems: The ANTAREX Approach

Luca Benini, Andrea Bartolini, Daniele Cesarini, 2019, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Autotuning and adaptivity approach for energy efficient Exascale HPC systems: The ANTAREX approach

Luca Benini, Andrea Bartolini, Carlo Cavazzoni, 2016, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Exploiting OpenMP and OpenACC to accelerate a geometric approach to molecular docking in heterogeneous HPC nodes

Carlo Cavazzoni, Gianluca Palermo, Cristina Silvano, 2019, The Journal of Supercomputing.

Autotuning and adaptivity in energy efficient HPC systems: the ANTAREX toolbox

Luca Benini, Andrea Bartolini, Daniele Cesarini, 2018, CF.

Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App

Carlo Cavazzoni, Giovanni Agosta, Gianluca Palermo, 2019, The Journal of Supercomputing.

The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems

Luca Benini, Andrea Bartolini, Carlo Cavazzoni, 2016, Conf. Computing Frontiers.

Novel selective, potent naphthyl TRPM8 antagonists identified through a combined ligand- and structure-based virtual screening approach

Alessandro Pedretti, Andrea R. Beccari, Giulio Vistoli, 2017, Scientific Reports.