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20192023
most citedTunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach

4 citations · 7 across the 9 of their papers we have counts for

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8 papers · 1 filter

cs.DC2023★ 4 cited

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach

Gianluca Palermo, Gianmarco Accordi, Davide Gadioli +32

Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system. The implementation of machine learning, extreme-scale computer…

cs.DC2022★ 1 cited

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

Emanuele Vitali, Federico Ficarelli, Mauro Bisson +4

COVID-19 has shown the importance of having a fast response against pandemics. Finding a novel drug is a very long and complex procedure, and it is possible to accelerate the preli…

cs.DC2021

A Review on Parallel Virtual Screening Softwares for High Performance Computers

Natarajan Arul Murugan, Artur Podobas, Davide Gadioli +3

Drug discovery is the most expensive, time demanding and challenging project in biopharmaceutical companies which aims at the identification and optimization of lead compounds from…

cs.DC2021★ 1 cited

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

Davide Gadioli, Emanuele Vitali, Federico Ficarelli +7

The social and economic impact of the COVID-19 pandemic demands the reduction of the time required to find a therapeutic cure. In the contest of urgent computing, we re-designed th…

cs.DC2019

Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App

Davide Gadioli, Gianluca Palermo, Stefano Cherubin +7

The drug discovery process involves several tasks to be performed in vivo, in vitro and in silico. Molecular docking is a task typically performed in silico. It aims at finding the…

cs.DC2019

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

Emanuele Vitali, Davide Gadioli, Gianluca Palermo +3

In drug discovery, molecular docking is the task in charge of estimating the position of a molecule when interacting with the docking site. This task is usually used to perform scr…

cs.DC2019

An Efficient Monte Carlo-based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System

Emanuele Vitali, Davide Gadioli, Gianluca Palermo +7

Incorporating speed probability distribution to the computation of the route planning in car navigation systems guarantees more accurate and precise responses. In this paper, we pr…

cs.DC2019

The ANTAREX Domain Specific Language for High Performance Computing

Cristina Silvano, Giovanni Agosta, Andrea Bartolini +19

The ANTAREX project relies on a Domain Specific Language (DSL) based on Aspect Oriented Programming (AOP) concepts to allow applications to enforce extra functional properties such…