Bruno Guindani

According to our database, Bruno Guindani authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards an Agentic LLM-based Approach to Requirement Formalization from Unstructured Specifications.

Alberto Tagliaferro, Bruno Guindani, Livia Lestingi, Matteo G. Rossi

CoRR, April, 2026

Automated Detection and Mitigation of Dependability Failures in Healthcare Scenarios through Digital Twins.

Bruno Guindani, Matteo Camilli, Livia Lestingi, Marcello M. Bersani

CoRR, February, 2026

2025

Discrete Bayesian Optimization via Machine Learning.

Roberto Sala, Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi

Perform. Evaluation, 2025

BayesMix: Bayesian Mixture Models in <i>C++</i>.

Mario Beraha, Bruno Guindani, Matteo Gianella, Alessandra Guglielmi

J. Stat. Softw., 2025

OSCAR-P and aMLLibrary: Profiling and predicting the performance of FaaS-based applications in computing continua.

Roberto Sala, Bruno Guindani, Enrico Galimberti, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Sebastián Risco, Germán Moltó, Miguel Caballer

J. Syst. Softw., 2025

Efficient parameter tuning for a structure-based virtual screening HPC application.

Bruno Guindani, Davide Gadioli, Roberto Rocco, Danilo Ardagna, Gianluca Palermo

J. Parallel Distributed Comput., 2025

Detecting Dependability Failures in Healthcare Scenarios via Digital Shadows.

Bruno Guindani, Matteo Camilli, Livia Lestingi, Marcello Maria Bersani

Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 2025

Leveraging LLMs to Automate Software Architecture Design from Informal Specifications.

Alberto Tagliaferro, Simone Corbo, Bruno Guindani

Proceedings of the 22nd IEEE International Conference on Software Architecture, 2025

2024

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

Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi, Roberto Rocco, Gianluca Palermo

IEEE Trans. Cloud Comput., 2024

Exploring the Utility of Graph Methods in HPC Thermal Modeling.

Bruno Guindani, Martin Molan, Andrea Bartolini, Luca Benini

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

PAK-MAN: Enhancing Parallel Bayesian Optimization of Cloud and HPC Systems via Machine Learning.

Leonardo Barone, Bruno Guindani, Roberto Sala, Davide Gadioli, Danilo Ardagna, Alessandra Guglielmi

Proceedings of the Performance Evaluation Methodologies and Tools, 2024

d-MALIBOO: a Bayesian Optimization framework for dealing with Discrete Variables.

Roberto Sala, Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi

Proceedings of the 32nd International Conference on Modeling, 2024

LIGATE - LIgand Generator and portable drug discovery platform AT Exascale.

Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Yuedong Zhang, Emanuele Vitali, Bruno Guindani, Danilo Ardagna, Cristina Silvano, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Akash Deep Biswas, Jan Martinovic, Martin Golasowski, Paulo Silva, Ada Böhm, Jakub Beránek, Jan Krenek, Branislav Jansik, Peter Thoman, Philip Salzmann, Thomas Fahringer, Torsten Schwede, Leila Tamara Alexander, Gerardo Tauriello, Janani Durairaj, Biagio Cosenza, Luigi Crisci, Andrew Emerson, Federico Ficarelli, Erik Lindahl, Sebastian Wingbermühle, Daniele Gregori, Silvano Coletti, Emanuele Sana, Philipp Gschwandtner

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023

OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications.

Enrico Galimberti, Bruno Guindani, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Germán Moltó, Miguel Caballer

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

aMLLibrary: An AutoML Approach For Performance Prediction.

Bruno Guindani, Marco Lattuada, Danilo Ardagna

Proceedings of the 37th ECMS International Conference on Modelling and Simulation, 2023

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

Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Cristina Silvano, Bruno Guindani, Danilo Ardagna, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Jan Martinovic, Paulo Silva, Ada Bohm, Jakub Beránek, Jan Krenek, Branislav Jansik, Biagio Cosenza, Luigi Crisci, Peter Thoman, Philip Salzmann, Thomas Fahringer, Leila T. Alexander, Gerardo Tauriello, Torsten Schwede, Janani Durairaj, Andrew Emerson, Federico Ficarelli, Sebastian Wingbermühle, Erik Lindahl, Daniele Gregori, Emanuele Sana, Silvano Coletti, Philipp Gschwandtner

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

MALIBOO: When Machine Learning meets Bayesian Optimization.

Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi

Proceedings of the 7th IEEE International Conference on Smart Cloud, SmartCloud 2022, 2022