no code implementations • 17 Jun 2024 • Maicol Ciani, Emanuele Parisi, Alberto Musa, Francesco Barchi, Andrea Bartolini, Ari Kulmala, Rafail Psiakis, Angelo Garofalo, Andrea Acquaviva, Davide Rossi
The rapid advancement and exploration of open-hardware RISC-V platforms are driving significant changes in sectors like autonomous vehicles, smart-city infrastructure, and medical devices.
no code implementations • 28 May 2024 • Giovanni Bambini, Alessandro Ottaviano, Christian Conficoni, Andrea Tilli, Luca Benini, Andrea Bartolini
Unfortunately, existing research lacks a detailed analysis and modeling of thermal, power, and electrical coupling effects and how they have to be jointly considered to perform dynamic control of complex and heterogeneous Multi-Processor System on Chips (MPSoCs).
no code implementations • 4 May 2023 • Julian Kunkel, Christian Boehme, Jonathan Decker, Fabrizio Magugliani, Dirk Pleiter, Bastian Koller, Karthee Sivalingam, Sabri Pllana, Alexander Nikolov, Mujdat Soyturk, Christian Racca, Andrea Bartolini, Adrian Tate, Berkay Yaman
In this paper, we describe the DECICE framework and architecture.
1 code implementation • 15 Feb 2023 • Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medić, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci
Federated Learning (FL) and Edge Inference are examples of DML.
no code implementations • 28 Aug 2022 • Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
However, current state-of-the-art (SoA) approaches to anomaly detection are supervised and semi-supervised, so they require a human-labelled dataset with anomalies - this is often impractical to collect in production HPC systems.
no code implementations • 12 Dec 2020 • Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Giuseppe Tagliavini, Andrea Acquaviva
The analysis of source code through machine learning techniques is an increasingly explored research topic aiming at increasing smartness in the software toolchain to exploit modern architectures in the best possible way.
no code implementations • 27 Jul 2020 • Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sirbu, Andrea Bartolini, Andrea Borghesi
We introduce a high-level, easy-to-use fault injection tool called FINJ, with a focus on the management of complex experiments.
1 code implementation • 7 Apr 2020 • Antonio Libri, Andrea Bartolini, Luca Benini
The method -- called pAElla -- targets real-time Malware Detection (MD), it runs on an out-of-band IoT-based monitoring system for DCs/SCs, and involves Power Spectral Density of power measurements, along with AutoEncoders.
1 code implementation • 22 Feb 2019 • Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini
Reliability is a cumbersome problem in High Performance Computing Systems and Data Centers evolution.
Distributed, Parallel, and Cluster Computing
5 code implementations • 13 Nov 2018 • Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Anomaly detection in supercomputers is a very difficult problem due to the big scale of the systems and the high number of components.
no code implementations • 26 Oct 2018 • Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sirbu, Andrea Bartolini, Andrea Borghesi
As High-Performance Computing (HPC) systems strive towards the exascale goal, studies suggest that they will experience excessive failure rates.
Distributed, Parallel, and Cluster Computing
no code implementations • 3 Oct 2018 • Federico Pittino, Roberto Diversi, Luca Benini, Andrea Bartolini
However, we also show that: 1) not all real workloads allow for the identification of a good model; 2) starting from the theory of system identification it is very difficult to evaluate if a trace of data leads to a good estimated model.
1 code implementation • 26 Jul 2018 • Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sirbu, Andrea Bartolini, Andrea Borghesi
We present FINJ, a high-level fault injection tool for High-Performance Computing (HPC) systems, with a focus on the management of complex experiments.
Distributed, Parallel, and Cluster Computing
1 code implementation • 19 Jun 2018 • Daniele Cesarini, Andrea Bartolini, Pietro Bonfà, Carlo Cavazzoni, Luca Benini
Power consumption is a looming treat in today's computing progress.
Distributed, Parallel, and Cluster Computing