Gianluca Palermo

Gianluca Palermo

Politecnico di Milano

H-index: 33

Europe-Italy

About Gianluca Palermo

Gianluca Palermo, With an exceptional h-index of 33 and a recent h-index of 19 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Autotuning, Molecular Docking, System-Level Design, Low-Power Design, Design Space Exploration.

His recent articles reflect a diverse array of research interests and contributions to the field:

Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs

ZSMILES: an approach for efficient SMILES storage for random access in Virtual Screening

Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems

Enabling performance portability on the LiGen drug discovery pipeline

GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis

Extending the Legio Resilience Framework to Handle Critical Process Failures in MPI

A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach

The High-Performance Computing Resources for the EXSCALATE4CoV Project

Gianluca Palermo Information

University

Position

Associate Professor at

Citations(all)

4149

Citations(since 2020)

1458

Cited By

3354

hIndex(all)

33

hIndex(since 2020)

19

i10Index(all)

103

i10Index(since 2020)

39

Email

University Profile Page

Politecnico di Milano

Google Scholar

View Google Scholar Profile

Gianluca Palermo Skills & Research Interests

Autotuning

Molecular Docking

System-Level Design

Low-Power Design

Design Space Exploration

Top articles of Gianluca Palermo

Title

Journal

Author(s)

Publication Date

Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs

The Journal of Supercomputing

Gianmarco Accordi

Davide Gadioli

Emanele Vitali

Luigi Crisci

Biagio Cosenza

...

2024/2/2

ZSMILES: an approach for efficient SMILES storage for random access in Virtual Screening

arXiv preprint arXiv:2404.19391

Gianmarco Accordi

Davide Gadioli

Giorgio Seguini

Andrea R Beccari

Gianluca Palermo

2024/4/30

Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems

IEEE Transactions on Cloud Computing

Bruno Guindani

Danilo Ardagna

Alessandra Guglielmi

Roberto Rocco

Gianluca Palermo

2024/2/1

Enabling performance portability on the LiGen drug discovery pipeline

Future Generation Computer Systems

Luigi Crisci

Lorenzo Carpentieri

Biagio Cosenza

Gianmarco Accordi

Davide Gadioli

...

2024/4/16

GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis

Journal of Parallel and Distributed Computing

Emanuele Vitali

Federico Ficarelli

Mauro Bisson

Davide Gadioli

Gianmarco Accordi

...

2024/4/1

Extending the Legio Resilience Framework to Handle Critical Process Failures in MPI

Roberto Rocco

Luca Repetti

Elisabetta Boella

Daniele Gregori

Gianluca Palermo

2024/3/20

A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach

arXiv preprint arXiv:2402.12612

Christian Pilato

Subhadeep Banik

Jakub Beranek

Fabien Brocheton

Jeronimo Castrillon

...

2024/2/20

The High-Performance Computing Resources for the EXSCALATE4CoV Project

Andrew Emerson

Federico Ficarelli

Gianluca Palermo

Francesco Frigerio

2023/5/3

Exploit Approximation to Support Fault Resiliency in MPI-based Applications

Roberto Rocco

Gianluca Palermo

2023/6/27

Improving computation efficiency using input and architecture features for a virtual screening application

arXiv preprint arXiv:2303.06150

Gianmarco Accordi

Emanuele Vitali

Davide Gadioli

Luigi Crisci

Biagio Cosenza

...

2023/3/9

The Legio Fault Resilience Framework: Design and Rationale

Roberto Rocco

Gianluca Palermo

2023/5/9

Computer implemented method for determining an optimal positional matching of a binding molecule in a docking site of a target molecule

G Palermo

D Ottaviani

D Buonanni

A Beccari

E Triuzzi

...

2023

Tunable and portable extreme-scale drug discovery platform at exascale: the lIGATE approach

Gianluca Palermo

Gianmarco Accordi

Davide Gadioli

Emanuele Vitali

Cristina Silvano

...

2023/5/9

Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications

Lorenzo Carpentieri

Marco D'Antonio

Kaijie Fan

Luigi Crisci

Biagio Cosenza

...

2023/11/12

Fault awareness in the mpi 4.0 session model

Roberto Rocco

Gianluca Palermo

Daniele Gregori

2023/5/9

Fault-Aware Group-Collective Communication Creation and Repair in MPI

Roberto Rocco

Gianluca Palermo

2023/8/24

A European Drug-Discovery Platform: From In Silico to Experimental Validation

Gianluca Palermo

Daniela Iaconis

Philip Gribbon

2023/5/3

MEDIATE-Molecular DockIng at homE: Turning collaborative simulations into therapeutic solutions

Giulio Vistoli

Candida Manelfi

Carmine Talarico

Anna Fava

Arieh Warshel

...

2023/8/3

The mARGOt autotuning framework design and improvements

R Rocco

G Palermo

2022

An extreme-scale virtual screening platform for drug discovery

Davide Gadioli

Emanuele Vitali

Federico Ficarelli

Chiara Latini

Candida Manelfi

...

2022/5/17

See List of Professors in Gianluca Palermo University(Politecnico di Milano)

Co-Authors

H-index: 42
Cristina Silvano

Cristina Silvano

Politecnico di Milano

H-index: 33
João M. P. Cardoso

João M. P. Cardoso

Universidade do Porto

H-index: 31
Fabrizio Ferrandi

Fabrizio Ferrandi

Politecnico di Milano

H-index: 31
William Fornaciari

William Fornaciari

Politecnico di Milano

H-index: 29
Andrea Bartolini

Andrea Bartolini

Università degli Studi di Bologna

H-index: 26
Vittorio Zaccaria

Vittorio Zaccaria

Politecnico di Milano

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