1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
On-line Application Autotuning Exploiting Ensemble Models
Tomas Martinovic, Davide Gadioli, Gianluca Palermo +1
Application autotuning is a promising path investigated in literature to improve computation efficiency. In this context, the end-users define high-level requirements and an autono…
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…