Search Results for author: Andrea Bartolini

Found 14 papers, 6 papers with code

Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading

no code implementations17 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.

Autonomous Vehicles Benchmarking

Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms

no code implementations28 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).

RUAD: unsupervised anomaly detection in HPC systems

no code implementations28 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.

Clustering Unsupervised Anomaly Detection

Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers

no code implementations12 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.

BIG-bench Machine Learning Code Classification +1

pAElla: Edge-AI based Real-Time Malware Detection in Data Centers

1 code implementation7 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.

Anomaly Detection Edge-computing +1

Online Anomaly Detection in HPC Systems

1 code implementation22 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

Anomaly Detection using Autoencoders in High Performance Computing Systems

5 code implementations13 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.

Anomaly Detection Vocal Bursts Intensity Prediction

Online Fault Classification in HPC Systems through Machine Learning

no code implementations26 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

Robust identification of thermal models for in-production High-Performance-Computing clusters with machine learning-based data selection

no code implementations3 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.

Management Quantization

FINJ: A Fault Injection Tool for HPC Systems

1 code implementation26 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

COUNTDOWN - three, two, one, low power! A Run-time Library for Energy Saving in MPI Communication Primitives

1 code implementation19 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

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