University of Bologna

Research

Our mission is to shape the future of computing and cyber-physical systems, making them increasingly efficient, secure, and fully autonomous.

In practice, our research comes to life across four main areas:

How we work

We don’t just study individual components. We adopt a holistic approach that bridges hardware architecture, software layers, and end applications. We develop and optimize cyber-physical, neuromorphic, and HPC technologies across the entire spectrum: from embedded and Edge devices to Cloud infrastructures.

Our goal

We want to drive the entire data chain—from the sensor to the supercomputer—at peak performance. All while minimizing energy and thermal consumption, and ensuring robust cybersecurity at every stage of the process.

Highlighted

All

2027

Beyond foundation models: Dimension-aware neural architecture search with small-data representation models for cryocooler lifetime prediction
Beyond foundation models: Dimension-aware neural architecture search with small-data representation models for cryocooler lifetime prediction
Gregor Molan, Grafika Jati, Francesco Barchi, Andrea Acquaviva, Aljaž Osterman, Martin Molan
Reliability Engineering & System Safety  ·  01 Jan 2027  ·  doi:10.1016/j.ress.2026.113105

2026

RoWD: Automated rogue workload detector for HPC security
RoWD: Automated rogue workload detector for HPC security
Francesco Antici, Jens Domke, Andrea Bartolini, Zeynep Kiziltan, Satoshi Matsuoka
Future Generation Computer Systems  ·  01 Jul 2026  ·  doi:10.1016/j.future.2026.108392
Elevating Datacenter Resilience with ThermADNet: A Thermal Anomaly Detection System
Elevating Datacenter Resilience with ThermADNet: A Thermal Anomaly Detection System
Mohsen Seyedkazemi Ardebili, Andrea Acquaviva, Luca Benini, Andrea Bartolini
Future Generation Computer Systems  ·  01 Jun 2026  ·  doi:10.1016/j.future.2025.108311
SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series
SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series
Giovanni B. Esposito, Francesco Antici, Daniele Cesarini, Andrea Bartolini
Proceedings of the 23rd ACM International Conference on Computing Frontiers  ·  19 May 2026  ·  doi:10.1145/3801487.3806064
Compact Thermal and Power Models for Manycore Multichiplet Architectures: A Case Study on Intel Sapphire Rapids Processor
Compact Thermal and Power Models for Manycore Multichiplet Architectures: A Case Study on Intel Sapphire Rapids Processor
Antonio del Vecchio, Giacomo Madella, Roberto Diversi, Andrea Bartolini
Proceedings of the 23rd ACM International Conference on Computing Frontiers  ·  19 May 2026  ·  doi:10.1145/3801487.3801828
Can an Open ISA Reach the Datacenter Lessons from Monte Cimone on RISC-V for HPC
Can an Open ISA Reach the Datacenter? Lessons from Monte Cimone on RISC-V for HPC
Andrea Bartolini
Proceedings of the 23rd ACM International Conference on Computing Frontiers: Workshops and Special Sessions  ·  19 May 2026  ·  doi:10.1145/3801488.3815395
AME-PIM: Can Memory be Your Next Tensor Accelerator
AME-PIM: Can Memory be Your Next Tensor Accelerator?
Emanuele Venieri, Simone Manoni, Alberto Florian, Jaehyun Park, Kyomin Sohn, Andrea Bartolini
Proceedings of the 23rd ACM International Conference on Computing Frontiers  ·  19 May 2026  ·  doi:10.1145/3801487.3806067
SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference
SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference
Hiari Pizzini Cavagna, Andrea Proia, Giacomo Madella, Giovanni Battista Esposito, Francesco Antici, Daniele Cesarini, Zeynep Kiziltan, Andrea Bartolini
Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering  ·  03 May 2026  ·  doi:10.1145/3777884.3797011
Modeling and Controlling Many-Core HPC Processors: An Alternative to PID and Moving Average Algorithms
Modeling and Controlling Many-Core HPC Processors: An Alternative to PID and Moving Average Algorithms
Giovanni Bambini, Alessandro Ottaviano, Christian Conficoni, Andrea Tilli, Luca Benini, Andrea Bartolini
ACM Transactions on Autonomous and Adaptive Systems  ·  22 Apr 2026  ·  doi:10.1145/3694687
EXASAGE: The first data center operational data analysis assistant
EXASAGE: The first data center operational data analysis assistant
Junaid Ahmed Khan, Martin Molan, Andrea Bartolini
Future Generation Computer Systems  ·  01 Mar 2026  ·  doi:10.1016/j.future.2025.108185
Targeting language models for compile-time computing resource optimization: A novel approach based on masked graph autoencoders
Targeting language models for compile-time computing resource optimization: A novel approach based on masked graph autoencoders
Federico Cichetti, Emanuele Parisi, Andrea Acquaviva, Francesco Barchi
Data & Knowledge Engineering  ·  01 Mar 2026  ·  doi:10.1016/j.datak.2025.102551
An online algorithm for power consumption prediction of HPC workload
An online algorithm for power consumption prediction of HPC workload
Francesco Antici, Andrea Borghesi, Zeynep Kiziltan, Jens Domke, Andrea Bartolini
Future Generation Computer Systems  ·  01 Feb 2026  ·  doi:10.1016/j.future.2025.108064
A transformer-based approach for source code classification for heterogeneous device mapping
A transformer-based approach for source code classification for heterogeneous device mapping
Marco Siino, Emanuele Parisi, Francesco Barchi, Andrea Acquaviva, Andrea Bartolini
Engineering Applications of Artificial Intelligence  ·  01 Jan 2026  ·  doi:10.1016/j.engappai.2025.112987
An OpenSSL Engine for Secure and Transparent Offloading of Cryptographic Operations to OP-TEE in Embedded IoT Platforms
An OpenSSL Engine for Secure and Transparent Offloading of Cryptographic Operations to OP-TEE in Embedded IoT Platforms
Tina Sayarmoafi, Francesco Barchi, Lorenzo Bottaccioli, Andrea Acquaviva, Edoardo Patti, Paolo Montuschi, Luca Barbierato
IEEE Internet of Things Journal  ·  01 Jan 2026  ·  doi:10.1109/JIOT.2026.3701432

2025

Assessing Tenstorrent s RISC-V MatMul Acceleration Capabilities
Assessing Tenstorrent’s RISC-V MatMul Acceleration Capabilities
Hiari Pizzini Cavagna, Daniele Cesarini, Andrea Bartolini
Lecture Notes in Computer Science  ·  24 Nov 2025  ·  doi:10.1007/978-3-032-07612-0_10
ControlPULPlet: A Flexible Real-time Multicore RISC-V Controller for 2.5-D Systems-in-Package
ControlPULPlet: A Flexible Real-time Multicore RISC-V Controller for 2.5-D Systems-in-Package
Alessandro Ottaviano, Robert Balas, Tim Fischer, Thomas Benz, Andrea Bartolini, Luca Benini
IEEE Transactions on Very Large Scale Integration (VLSI) Systems  ·  01 Nov 2025  ·  doi:10.1109/TVLSI.2025.3596452
Foundation Models for Structural Health Monitoring
Foundation Models for Structural Health Monitoring
Luca Benfenati, Daniele Jahier Pagliari, Luca Zanatta, Yhorman Alexander Bedoya Velez, Andrea Acquaviva, Massimo Poncino, Enrico Macii, Luca Benini, Alessio Burrello
IEEE Transactions on Sustainable Computing  ·  01 Nov 2025  ·  doi:10.1109/TSUSC.2025.3592097
ANZIL: Attention-based network for zero-risk inspection of LiDAR point cloud in self-driving cars
ANZIL: Attention-based network for zero-risk inspection of LiDAR point cloud in self-driving cars
Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, Andrea Acquaviva
Expert Systems with Applications  ·  01 Nov 2025  ·  doi:10.1016/j.eswa.2025.128412
Unleashing OpenTitan s Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading
Unleashing OpenTitan’s Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading
Maicol Ciani, Emanuele Parisi, Alberto Musa, Francesco Barchi, Andrea Bartolini, Ari Kulmala, Rafail Psiakis, Angelo Garofalo, Andrea Acquaviva, Rossi Davide
ACM Transactions on Embedded Computing Systems  ·  13 Sep 2025  ·  doi:10.1145/3690823
F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems
F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems
Francesco Antici, Andrea Bartolini, Jens Domke, Zeynep Kiziltan, Keiji Yamamoto
Scientific Data  ·  30 Jul 2025  ·  doi:10.1038/s41597-025-05633-1
A Global Perspective on Supercomputer Power Provisioning: Case Studies from United States and Europe
A Global Perspective on Supercomputer Power Provisioning: Case Studies from United States and Europe
Tapasya Patki, Barry Rountree, Torsten Wilde, Andrea Bartolini, Stephanie Brink, …, Woong Shin, Kathleen Shoga, Christian Simmendinger, Nicholas J. Wright, Zhengji Zhao
Proceedings of the 39th ACM International Conference on Supercomputing  ·  08 Jun 2025  ·  doi:10.1145/3721145.3734532
The REGALE Library: A DDS Interoperability Layer for the HPC PowerStack
The REGALE Library: A DDS Interoperability Layer for the HPC PowerStack
Giacomo Madella, Federico Tesser, Lluis Alonso, Julita Corbalan, Daniele Cesarini, Andrea Bartolini
Journal of Low Power Electronics and Applications  ·  12 Feb 2025  ·  doi:10.3390/jlpea15010010
Traffic Load Estimation via Time-Frequency Analysis of Dynamic Monitoring Data and Deep Learning
Traffic Load Estimation via Time-Frequency Analysis of Dynamic Monitoring Data and Deep Learning
Samuel Zanella, Francesco Barchi, Amirhossein Moallemi, Monica Longo, Mattia Salvaro, Paola Darò, Luca Benini, Andrea Acquaviva
Lecture Notes in Civil Engineering  ·  01 Jan 2025  ·  doi:10.1007/978-3-031-96110-6_75
Novel Physical Unclonable Function Implementation for Microcontrollers and Field Programmable Gate Arrays
Novel Physical Unclonable Function Implementation for Microcontrollers and Field Programmable Gate Arrays
Marco Grossi, Martin Omaña, Cecilia Metra, Andrea Acquaviva
IEEE Access  ·  01 Jan 2025  ·  doi:10.1109/ACCESS.2025.3555438

2024

LIDAROC: Realistic LiDAR Cover Contamination Dataset for Enhancing Autonomous Vehicle Perception Reliability
LIDAROC: Realistic LiDAR Cover Contamination Dataset for Enhancing Autonomous Vehicle Perception Reliability
Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, Andrea Acquaviva
IEEE Sensors Letters  ·  01 Sep 2024  ·  doi:10.1109/LSENS.2024.3434624
Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning
Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning
Francesco Barchi, Emanuele Parisi, Luca Zanatta, Andrea Bartolini, Andrea Acquaviva
Neural Computing and Applications  ·  01 Aug 2024  ·  doi:10.1007/s00521-024-10191-5
HazardNet: A thermal hazard prediction framework for datacenters
HazardNet: A thermal hazard prediction framework for datacenters
Mohsen Seyedkazemi Ardebili, Andrea Acquaviva, Luca Benini, Andrea Bartolini
Future Generation Computer Systems  ·  01 Jun 2024  ·  doi:10.1016/j.future.2024.01.031
Exploring the Utility of Graph Methods in HPC Thermal Modeling
Exploring the Utility of Graph Methods in HPC Thermal Modeling
Bruno Guindani, Martin Molan, Andrea Bartolini, Luca Benini
Companion of the 15th ACM/SPEC International Conference on Performance Engineering  ·  07 May 2024  ·  doi:10.1145/3629527.3652895
ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC
ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC
Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, Andrea Bartolini
Companion of the 15th ACM/SPEC International Conference on Performance Engineering  ·  07 May 2024  ·  doi:10.1145/3629527.3652898
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle
Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
Proceedings of the 21st ACM International Conference on Computing Frontiers  ·  07 May 2024  ·  doi:10.1145/3649153.3649201
NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores
NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores
Simone Manoni, Paul Scheffler, Alfio Di Mauro, Luca Zanatta, Andrea Acquaviva, Luca Benini, Andrea Bartolini
Proceedings of the 21st ACM International Conference on Computing Frontiers: Workshops and Special Sessions  ·  07 May 2024  ·  doi:10.1145/3637543.3652879
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks
Grafika Jati, Martin Molan, Junaid Ahmed Khan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, Andrea Acquaviva
Companion of the 15th ACM/SPEC International Conference on Performance Engineering  ·  07 May 2024  ·  doi:10.1145/3629527.3652896
Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips
Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips
Emanuele Parisi, Alberto Musa, Maicol Ciani, Francesco Barchi, Davide Rossi, Andrea Bartolini, Andrea Acquaviva
Proceedings of the 21st ACM International Conference on Computing Frontiers  ·  07 May 2024  ·  doi:10.1145/3649153.3649213
Hospital and Home Environments Automation for Amyotrophic Lateral Sclerosis Patients: Building Information Modeling and the Internet of Things in Digital Environments
Hospital and Home Environments Automation for Amyotrophic Lateral Sclerosis Patients: Building Information Modeling and the Internet of Things in Digital Environments
Francesco Alotto, Matteo Del Giudice, Roberta Surian, Nicola Rimella, Andrea Acquaviva, Edoardo Patti, Anna Osello
IT Professional  ·  01 May 2024  ·  doi:10.1109/MITP.2023.3323820
Enhancing workplace safety: A flexible approach for personal protective equipment monitoring
Enhancing workplace safety: A flexible approach for personal protective equipment monitoring
Alessia Pisu, Nicola Elia, Livio Pompianu, Francesco Barchi, Andrea Acquaviva, Salvatore Carta
Expert Systems with Applications  ·  01 Mar 2024  ·  doi:10.1016/j.eswa.2023.122285
DeepCodeGraph: A Language Model for Compile-Time Resource Optimization Using Masked Graph Autoencoders
DeepCodeGraph: A Language Model for Compile-Time Resource Optimization Using Masked Graph Autoencoders
Federico Cichetti, Emanuele Parisi, Andrea Acquaviva, Francesco Barchi
Lecture Notes in Computer Science  ·  01 Jan 2024  ·  doi:10.1007/978-3-031-70239-6_32

2023

PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System
PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System
Francesco Antici, Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Zeynep Kiziltan
Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis  ·  12 Nov 2023  ·  doi:10.1145/3624062.3624263
On the Containerization and Orchestration of RISC-V architectures for Edge-Cloud computing
On the Containerization and Orchestration of RISC-V architectures for Edge-Cloud computing
Francesco Lumpp, Francesco Barchi, Andrea Acquaviva, Nicola Bombieri
Proceedings of the 3rd Eclipse Security, AI, Architecture and Modelling Conference on Cloud to Edge Continuum  ·  17 Oct 2023  ·  doi:10.1145/3624486.3624490
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning
Gianluca Mittone, Nicoló Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medić, …, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci
Proceedings of the 20th ACM International Conference on Computing Frontiers  ·  09 May 2023  ·  doi:10.1145/3587135.3592211
Graph-Optimizer: Towards Predictable Large-Scale Graph Processing Workloads
Graph-Optimizer: Towards Predictable Large-Scale Graph Processing Workloads
Ana Lucia Varbanescu, Andrea Bartolini
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering  ·  15 Apr 2023  ·  doi:10.1145/3578245.3585340
Graph Neural Networks for Anomaly Anticipation in HPC Systems
Graph Neural Networks for Anomaly Anticipation in HPC Systems
Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering  ·  15 Apr 2023  ·  doi:10.1145/3578245.3585335
RUAD: Unsupervised anomaly detection in HPC systems
RUAD: Unsupervised anomaly detection in HPC systems
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
Future Generation Computer Systems  ·  01 Apr 2023  ·  doi:10.1016/j.future.2022.12.001
ExaMon-X: A Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems
ExaMon-X: A Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems
Andrea Borghesi, Alessio Burrello, Andrea Bartolini
IEEE Internet of Things Journal  ·  15 Feb 2023  ·  doi:10.1109/JIOT.2021.3125885
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project
William Fornaciari, Federico Reghenzani, Giovanni Agosta, Davide Zoni, Andrea Galimberti, …, Gianvito Urgese, Maurizio Martina, Guido Masera, Rosario Di Carlo, Antonio Sciarappa
Lecture Notes in Computer Science  ·  01 Jan 2023  ·  doi:10.1007/978-3-031-46077-7_24
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Lecture Notes in Computer Science  ·  01 Jan 2023  ·  doi:10.1007/978-3-031-31209-0_24

2022

Deep Learning Approaches to Source Code Analysis for Optimization of Heterogeneous Systems: Recent Results, Challenges and Opportunities
Deep Learning Approaches to Source Code Analysis for Optimization of Heterogeneous Systems: Recent Results, Challenges and Opportunities
Francesco Barchi, Emanuele Parisi, Andrea Bartolini, Andrea Acquaviva
Journal of Low Power Electronics and Applications  ·  05 Jul 2022  ·  doi:10.3390/jlpea12030037
Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping
Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping
Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  ·  01 Jun 2022  ·  doi:10.1109/TCAD.2021.3114617
Message from Andare 18 general and program chairs
Message from Andare’18 general and program chairs
ACM International Conference Proceeding Series  ·  29 May 2022  ·  [no id info]
Anomaly detection using autoencoders in high performance computing systems
Anomaly detection using autoencoders in high performance computing systems
CEUR Workshop Proceedings  ·  29 May 2022  ·  [no id info]
A matheuristic approach for resource scheduling and design of a multi-energy system
A matheuristic approach for resource scheduling and design of a multi-energy system
ICORES 2019 - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems  ·  29 May 2022  ·  [no id info]
Tackling the bottleneck of delay tables in 3D ultrasound imaging
Tackling the bottleneck of delay tables in 3D ultrasound imaging
Proceedings -Design, Automation and Test in Europe, DATE  ·  27 May 2022  ·  [no id info]
Reducing energy consumption in microcontroller-based platforms with low design margin co-processors
Reducing energy consumption in microcontroller-based platforms with low design margin co-processors
Proceedings -Design, Automation and Test in Europe, DATE  ·  27 May 2022  ·  [no id info]
Energy-aware cooling for hot-water cooled supercomputers
Energy-aware cooling for hot-water cooled supercomputers
Proceedings -Design, Automation and Test in Europe, DATE  ·  27 May 2022  ·  [no id info]
An ultra-low power dual-mode ECG monitor for healthcare and wellness
An ultra-low power dual-mode ECG monitor for healthcare and wellness
Proceedings -Design, Automation and Test in Europe, DATE  ·  27 May 2022  ·  [no id info]
A CP scheduler for high-performance computers
A CP scheduler for high-performance computers
CEUR Workshop Proceedings  ·  27 May 2022  ·  [no id info]
Towards near-threshold server processors
Towards near-threshold server processors
Proceedings of the 2016 Design, Automation and Test in Europe Conference and Exhibition, DATE 2016  ·  27 May 2022  ·  [no id info]
Quantifying the benefits of compressed sensing on a WBSN-based real-time biosignal monitor
Quantifying the benefits of compressed sensing on a WBSN-based real-time biosignal monitor
Proceedings of the 2016 Design, Automation and Test in Europe Conference and Exhibition, DATE 2016  ·  27 May 2022  ·  [no id info]
Autotuning and adaptivity approach for energy efficient Exascale HPC systems: The ANTAREX approach
Autotuning and adaptivity approach for energy efficient Exascale HPC systems: The ANTAREX approach
Proceedings of the 2016 Design, Automation and Test in Europe Conference and Exhibition, DATE 2016  ·  27 May 2022  ·  [no id info]
Message from ANDARE 17 general and program chairs
Message from ANDARE'17 general and program chairs
ACM International Conference Proceeding Series  ·  27 May 2022  ·  [no id info]
Visual quality analysis for dynamic backlight scaling in LCD systems
Visual quality analysis for dynamic backlight scaling in LCD systems
[no publisher info]  ·  24 May 2022  ·  [no id info]
Single-chip cloud computer thermal model
Single-chip cloud computer thermal model
[no publisher info]  ·  24 May 2022  ·  [no id info]
SCC thermal sensor characterization and calibration
SCC thermal sensor characterization and calibration
[no publisher info]  ·  24 May 2022  ·  [no id info]
SCC thermal model identification via advanced bias-compensated least-squares
SCC thermal model identification via advanced bias-compensated least-squares
[no publisher info]  ·  24 May 2022  ·  [no id info]
Errors-in-variables identification of thermal models for many-core computing systems
Errors-in-variables identification of thermal models for many-core computing systems
[no publisher info]  ·  24 May 2022  ·  [no id info]
Anomaly Detection and Anticipation in High Performance Computing Systems
Anomaly Detection and Anticipation in High Performance Computing Systems
Andrea Borghesi, Martin Molan, Michela Milano, Andrea Bartolini
IEEE Transactions on Parallel and Distributed Systems  ·  01 Apr 2022  ·  doi:10.1109/TPDS.2021.3082802
Trimming Feature Extraction and Inference for MCU-Based Edge NILM: A Systematic Approach
Trimming Feature Extraction and Inference for MCU-Based Edge NILM: A Systematic Approach
Enrico Tabanelli, Davide Brunelli, Andrea Acquaviva, Luca Benini
IEEE Transactions on Industrial Informatics  ·  01 Feb 2022  ·  doi:10.1109/TII.2021.3078186
Ruad: Unsupervised Anomaly Detection in Hpc Systems
Ruad: Unsupervised Anomaly Detection in Hpc Systems
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
Elsevier BV  ·  01 Jan 2022  ·  doi:10.2139/ssrn.4154097
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-12597-3_11
A Full-Stack and End-to-End Iot Framework for Room Temperature Modelling on Large-Scale
A Full-Stack and End-to-End Iot Framework for Room Temperature Modelling on Large-Scale
Mohsen Seyedkazemi Ardebili, Davide Brunelli, Tommaso Polonelli, Luca Benini, Andrea Bartolini
Elsevier BV  ·  01 Jan 2022  ·  doi:10.2139/ssrn.4075667
Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications
Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications
Nicola Elia, Francesco Barchi, Emanuele Parisi, Livio Pompianu, Salvatore Carta, Andrea Bartolini, Andrea Acquaviva
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-15740-0_27
Rule-Based Thermal Anomaly Detection for Tier-0 HPC Systems
Rule-Based Thermal Anomaly Detection for Tier-0 HPC Systems
Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Andrea Acquaviva, Luca Benini
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-23220-6_18

2021

Solar radiation forecasting based on convolutional neural network and ensemble learning
Solar radiation forecasting based on convolutional neural network and ensemble learning
Davide Cannizzaro, Alessandro Aliberti, Lorenzo Bottaccioli, Enrico Macii, Andrea Acquaviva, Edoardo Patti
Expert Systems with Applications  ·  01 Nov 2021  ·  doi:10.1016/j.eswa.2021.115167
Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring
Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring
Francesco Barchi, Luca Zanatta, Emanuele Parisi, Alessio Burrello, Davide Brunelli, Andrea Bartolini, Andrea Acquaviva
Future Internet  ·  23 Aug 2021  ·  doi:10.3390/fi13080219
TRIMMING FEATURE EXTRACTION AND INFERENCE FOR MCU-BASED EDGE NILM: A SYSTEMATIC APPROACH
TRIMMING FEATURE EXTRACTION AND INFERENCE FOR MCU-BASED EDGE NILM: A SYSTEMATIC APPROACH
Enrico Tabanelli, Davide Brunelli, Luca Benini, Andrea Acquaviva
Institute of Electrical and Electronics Engineers (IEEE)  ·  28 May 2021  ·  doi:10.36227/techrxiv.14636919.v1
TRIMMING FEATURE EXTRACTION AND INFERENCE FOR MCU-BASED EDGE NILM: A SYSTEMATIC APPROACH
TRIMMING FEATURE EXTRACTION AND INFERENCE FOR MCU-BASED EDGE NILM: A SYSTEMATIC APPROACH
Enrico Tabanelli, Davide Brunelli, Luca Benini, Andrea Acquaviva
Institute of Electrical and Electronics Engineers (IEEE)  ·  28 May 2021  ·  doi:10.36227/techrxiv.14636919
COUNTDOWN: A Run-Time Library for Performance-Neutral Energy Saving in MPI Applications
COUNTDOWN: A Run-Time Library for Performance-Neutral Energy Saving in MPI Applications
Daniele Cesarini, Andrea Bartolini, Pietro Bonfa, Carlo Cavazzoni, Luca Benini
IEEE Transactions on Computers  ·  01 May 2021  ·  doi:10.1109/TC.2020.2995269
Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms
Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms
Francesco Barchi, Gianvito Urgese, Alessandro Siino, Santa Di Cataldo, Enrico Macii, Andrea Acquaviva
IEEE Transactions on Emerging Topics in Computing  ·  01 Apr 2021  ·  doi:10.1109/TETC.2019.2908079
Thermal Characterization of a Tier0 Datacenter Room in Normal and Thermal Emergency Conditions
Thermal Characterization of a Tier0 Datacenter Room in Normal and Thermal Emergency Conditions
Mohsen Seyedkazemi Ardebili, Carlo Cavazzoni, Luca Benini, Andrea Bartolini
Lecture Notes in Computer Science  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-67077-1_1
Correction to: An Explainable Model for Fault Detection in HPC Systems
Correction to: An Explainable Model for Fault Detection in HPC Systems
Martin Molan, Andrea Borghesi, Francesco Beneventi, Massimiliano Guarrasi, Andrea Bartolini
Lecture Notes in Computer Science  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-90539-2_36
An Explainable Model for Fault Detection in HPC Systems
An Explainable Model for Fault Detection in HPC Systems
Martin Molan, Andrea Borghesi, Francesco Beneventi, Massimiliano Guarrasi, Andrea Bartolini
Lecture Notes in Computer Science  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-90539-2_25
Comparative Analysis of Neural Networks Techniques to Forecast Global Horizontal Irradiance
Comparative Analysis of Neural Networks Techniques to Forecast Global Horizontal Irradiance
Alessandro Aliberti, Daniele Fucini, Lorenzo Bottaccioli, Enrico Macii, Andrea Acquaviva, Edoardo Patti
IEEE Access  ·  01 Jan 2021  ·  doi:10.1109/ACCESS.2021.3110167

2020

Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications
Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications
Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini
IEEE Transactions on Parallel and Distributed Systems  ·  01 Nov 2020  ·  doi:10.1109/TPDS.2020.3000418
Robust Identification of Thermal Models for In-Production High-Performance-Computing Clusters With Machine Learning-Based Data Selection
Robust Identification of Thermal Models for In-Production High-Performance-Computing Clusters With Machine Learning-Based Data Selection
Federico Pittino, Roberto Diversi, Luca Benini, Andrea Bartolini
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  ·  01 Oct 2020  ·  doi:10.1109/TCAD.2019.2950378
i pAElla i : Edge AI-Based Real-Time Malware Detection in Data Centers
pAElla: Edge AI-Based Real-Time Malware Detection in Data Centers
Antonio Libri, Andrea Bartolini, Luca Benini
IEEE Internet of Things Journal  ·  01 Oct 2020  ·  doi:10.1109/JIOT.2020.2986702
A machine learning approach to online fault classification in HPC systems
A machine learning approach to online fault classification in HPC systems
Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Future Generation Computer Systems  ·  01 Sep 2020  ·  doi:10.1016/j.future.2019.11.029
Thermal Model Identification of Computing Nodes in High-Performance Computing Systems
Thermal Model Identification of Computing Nodes in High-Performance Computing Systems
Roberto Diversi, Andrea Bartolini, Luca Benini
IEEE Transactions on Industrial Electronics  ·  01 Sep 2020  ·  doi:10.1109/TIE.2019.2945277
Application instrumentation for performance analysis and tuning with focus on energy efficiency
Application instrumentation for performance analysis and tuning with focus on energy efficiency
Ondřej Vysocký, Lubomír Říha, Andrea Bartolini
Concurrency and Computation: Practice and Experience  ·  18 Aug 2020  ·  doi:10.1002/cpe.5966
Overview of Application Instrumentation for Performance Analysis and Tuning
Overview of Application Instrumentation for Performance Analysis and Tuning
Ondrej Vysocky, Lubomir Riha, Andrea Bartolini
Lecture Notes in Computer Science  ·  01 Jan 2020  ·  doi:10.1007/978-3-030-43222-5_14
Evaluating the Advantage of Reactive MPI-aware Power Control Policies
Evaluating the Advantage of Reactive MPI-aware Power Control Policies
Daniele Cesarini, Carlo Cavazzoni, Andrea Bartolini
Lecture Notes in Computer Science  ·  01 Jan 2020  ·  doi:10.1007/978-3-030-43222-5_16

2019

Achieving low carbon local energy communities in hot climates by exploiting networks synergies in multi energy systems
Achieving low carbon local energy communities in hot climates by exploiting networks synergies in multi energy systems
Gabriele Comodi, Andrea Bartolini, Francesco Carducci, Balamurugan Nagaranjan, Alessandro Romagnoli
Applied Energy  ·  01 Dec 2019  ·  doi:10.1016/j.apenergy.2019.113901
Benchmarking a Many-Core Neuromorphic Platform With an MPI-Based DNA Sequence Matching Algorithm
Benchmarking a Many-Core Neuromorphic Platform With an MPI-Based DNA Sequence Matching Algorithm
Gianvito Urgese, Francesco Barchi, Emanuele Parisi, Evelina Forno, Andrea Acquaviva, Enrico Macii
Electronics  ·  14 Nov 2019  ·  doi:10.3390/electronics8111342
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Engineering Applications of Artificial Intelligence  ·  01 Oct 2019  ·  doi:10.1016/j.engappai.2019.07.008
Paving the Way Toward Energy-Aware and Automated Datacentre
Paving the Way Toward Energy-Aware and Automated Datacentre
Andrea Bartolini, Francesco Beneventi, Andrea Borghesi, Daniele Cesarini, Antonio Libri, Luca Benini, Carlo Cavazzoni
Workshop Proceedings of the 48th International Conference on Parallel Processing  ·  05 Aug 2019  ·  doi:10.1145/3339186.3339215
The ANTAREX domain specific language for high performance computing
The ANTAREX domain specific language for high performance computing
Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea R. Beccari, Luca Benini, …, Gianluca Palermo, Pedro Pinto, Erven Rohou, Kateřina Slaninová, Emanuele Vitali
Microprocessors and Microsystems  ·  01 Jul 2019  ·  doi:10.1016/j.micpro.2019.05.005
Prediction of Time-to-Solution in Material Science Simulations Using Deep Learning
Prediction of Time-to-Solution in Material Science Simulations Using Deep Learning
Federico Pittino, Pietro Bonfà, Andrea Bartolini, Fabio Affinito, Luca Benini, Carlo Cavazzoni
Proceedings of the Platform for Advanced Scientific Computing Conference  ·  12 Jun 2019  ·  doi:10.1145/3324989.3325720
A Cloud-Based On-Line Disaggregation Algorithm for Home Appliance Loads
A Cloud-Based On-Line Disaggregation Algorithm for Home Appliance Loads
Million Abayneh Mengistu, Awet Abraha Girmay, Chirstian Camarda, Andrea Acquaviva, Edoardo Patti
IEEE Transactions on Smart Grid  ·  01 May 2019  ·  doi:10.1109/TSG.2018.2826844
Online Anomaly Detection in HPC Systems
Online Anomaly Detection in HPC Systems
Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini
2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)  ·  01 Mar 2019  ·  doi:10.1109/AICAS.2019.8771527
Supporting the Scale-Up of High Performance Application to Pre-Exascale Systems: The ANTAREX Approach
Supporting the Scale-Up of High Performance Application to Pre-Exascale Systems: The ANTAREX Approach
Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea R. Beccari, Luca Benini, …, Pedro Pinto, Erven Rohou, Nico Sanna, Katerina Slaninova, Emanuele Vitali
2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)  ·  01 Feb 2019  ·  doi:10.1109/EMPDP.2019.8671584
Online Fault Classification in HPC Systems Through Machine Learning
Online Fault Classification in HPC Systems Through Machine Learning
Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Lecture Notes in Computer Science  ·  01 Jan 2019  ·  doi:10.1007/978-3-030-29400-7_1
Modeling and Evaluation of Application-Aware Dynamic Thermal Control in HPC Nodes
Modeling and Evaluation of Application-Aware Dynamic Thermal Control in HPC Nodes
Daniele Cesarini, Andrea Bartolini, Luca Benini
IFIP Advances in Information and Communication Technology  ·  01 Jan 2019  ·  doi:10.1007/978-3-030-15663-3_10
A LoRaWAN Wireless Sensor Network for Data Center Temperature Monitoring
A LoRaWAN Wireless Sensor Network for Data Center Temperature Monitoring
Tommaso Polonelli, Davide Brunelli, Andrea Bartolini, Luca Benini
Lecture Notes in Electrical Engineering  ·  01 Jan 2019  ·  doi:10.1007/978-3-030-11973-7_20

2018

FINJ: A Fault Injection Tool for HPC Systems
FINJ: A Fault Injection Tool for HPC Systems
Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Lecture Notes in Computer Science  ·  31 Dec 2018  ·  doi:10.1007/978-3-030-10549-5_62
Pricing schemes for energy-efficient HPC systems: Design and exploration
Pricing schemes for energy-efficient HPC systems: Design and exploration
Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini
The International Journal of High Performance Computing Applications  ·  02 Dec 2018  ·  doi:10.1177/1094342018814593
Sea-Trial of Optical Ethernet Modems for Underwater Wireless Communications
Sea-Trial of Optical Ethernet Modems for Underwater Wireless Communications
Giulio Cossu, Alessandro Sturniolo, Alessandro Messa, Simone Grechi, Daniele Costa, Andrea Bartolini, David Scaradozzi, Andrea Caiti, Ernesto Ciaramella
Journal of Lightwave Technology  ·  01 Dec 2018  ·  doi:10.1109/JLT.2018.2871088
Evaluation of NTP PTP fine-grain synchronization performance in HPC clusters
Evaluation of NTP/PTP fine-grain synchronization performance in HPC clusters
Antonio Libri, Andrea Bartolini, Daniele Cesarini, Luca Benini
Proceedings of the 2nd Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems  ·  04 Nov 2018  ·  doi:10.1145/3295816.3295819
COUNTDOWN
COUNTDOWN
Daniele Cesarini, Andrea Bartolini, Piero Bonfà, Carlo Cavazzoni, Luca Benini
Proceedings of the 2nd Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems  ·  04 Nov 2018  ·  doi:10.1145/3295816.3295818
Self-Aware Thermal Management for High-Performance Computing Processors
Self-Aware Thermal Management for High-Performance Computing Processors
Andrea Bartolini, Roberto Diversi, Daniele Cesarini, Francesco Beneventi
IEEE Design & Test  ·  01 Oct 2018  ·  doi:10.1109/MDAT.2017.2774774
Scheduling-based power capping in high performance computing systems
Scheduling-based power capping in high performance computing systems
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Sustainable Computing: Informatics and Systems  ·  01 Sep 2018  ·  doi:10.1016/j.suscom.2018.05.007
ANTAREX: A DSL-Based Approach to Adaptively Optimizing and Enforcing Extra-Functional Properties in High Performance Computing
ANTAREX: A DSL-Based Approach to Adaptively Optimizing and Enforcing Extra-Functional Properties in High Performance Computing
Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea R. Beccari, Luca Benini, …, Pedro Pinto, Erven Rohou, Nico Sanna, Katerina Slaninova, Emanuele Vitali
2018 21st Euromicro Conference on Digital System Design (DSD)  ·  01 Aug 2018  ·  doi:10.1109/DSD.2018.00105
Energy-Aware Bio-Signal Compressed Sensing Reconstruction on the WBSN-Gateway
Energy-Aware Bio-Signal Compressed Sensing Reconstruction on the WBSN-Gateway
Daniele Bortolotti, Mauro Mangia, Andrea Bartolini, Riccardo Rovatti, Gianluca Setti, Luca Benini
IEEE Transactions on Emerging Topics in Computing  ·  01 Jul 2018  ·  doi:10.1109/TETC.2016.2564361
A Scalable Framework for Online Power Modelling of High-Performance Computing Nodes in Production
A Scalable Framework for Online Power Modelling of High-Performance Computing Nodes in Production
Federico Pittino, Francesco Beneventi, Andrea Bartolini, Luca Benini
2018 International Conference on High Performance Computing & Simulation (HPCS)  ·  01 Jul 2018  ·  doi:10.1109/HPCS.2018.00058
Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer
Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer
Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Luca Benini
IEEE Transactions on Parallel and Distributed Systems  ·  01 Jul 2018  ·  doi:10.1109/TPDS.2017.2766151
Guest Editorial for the Special Section on Emerging Computational Paradigms
Guest Editorial for the Special Section on Emerging Computational Paradigms
Alberto Macii, Andrea Acquaviva
IEEE Transactions on Emerging Topics in Computing  ·  01 Jul 2018  ·  doi:10.1109/TETC.2018.2851313
Optimal Planning of Low Carbon Microgrids Using Primary Energy Savings as a Constraining Factor: The Case of an Industrial Retrofit
Optimal Planning of Low Carbon Microgrids Using Primary Energy Savings as a Constraining Factor: The Case of an Industrial Retrofit
Andrea Bartolini, Francesco Carducci, Antonio Giovannelli, Gabriele Comodi
2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)  ·  01 Jun 2018  ·  doi:10.1109/EEEIC.2018.8494533
The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support
The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support
Andrea Bartolini, Andrea Borghesi, Antonio Libri, Francesco Beneventi, Daniele Gregori, Simone Tinti, Cosimo Gianfreda, Piero Altoè
Proceedings of the 15th ACM International Conference on Computing Frontiers  ·  08 May 2018  ·  doi:10.1145/3203217.3205863
Autotuning and adaptivity in energy efficient HPC systems
Autotuning and adaptivity in energy efficient HPC systems
Cristina Silvano, Gianluca Palermo, Giovanni Agosta, Amir H. Ashouri, Davide Gadioli, …, Jan Martinovič, Kateřina Slaninová, Martin Golasowski, Andrea R. Beccari, Candida Manelfi
Proceedings of the 15th ACM International Conference on Computing Frontiers  ·  08 May 2018  ·  doi:10.1145/3203217.3205338
Energy and Power Aware Job Scheduling and Resource Management: Global Survey Initial Analysis
Energy and Power Aware Job Scheduling and Resource Management: Global Survey — Initial Analysis
Matthias Maiterth, Gregory Koenig, Kevin Pedretti, Siddhartha Jana, Natalie Bates, Andrea Borghesi, Dave Montoya, Andrea Bartolini, Milos Puzovic
2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)  ·  01 May 2018  ·  doi:10.1109/IPDPSW.2018.00111
Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not
Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not?
Ali Pahlevan, Yasir Mahmood Qureshi, Marina Zapater, Andrea Bartolini, Davide Rossi, Luca Benini, David Atienza
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)  ·  01 Mar 2018  ·  doi:10.23919/DATE.2018.8341994
Energy Saving and Thermal Management Opportunities in a Workload-Aware MPI Runtime for a Scientific HPC Computing Node
Energy Saving and Thermal Management Opportunities in a Workload-Aware MPI Runtime for a Scientific HPC Computing Node
Cesarini Daniele, Bartolini Andrea, Benini Luca
Advances in Parallel Computing  ·  01 Jan 2018  ·  doi:10.3233/978-1-61499-843-3-277

2017

Planning tool for polygeneration design in microgrids
Planning tool for polygeneration design in microgrids
Francesco Carducci, Andrea Bartolini, Nagarajan Balamurugan, Alessandro Romagnoli, Gabriele Comodi
Energy Procedia  ·  01 Dec 2017  ·  doi:10.1016/j.egypro.2017.12.759
Energy Analysis of Decoders for Rakeness-Based Compressed Sensing of ECG Signals
Energy Analysis of Decoders for Rakeness-Based Compressed Sensing of ECG Signals
Fabio Pareschi, Mauro Mangia, Daniele Bortolotti, Andrea Bartolini, Luca Benini, Riccardo Rovatti, Gianluca Setti
IEEE Transactions on Biomedical Circuits and Systems  ·  01 Dec 2017  ·  doi:10.1109/TBCAS.2017.2740059
A Flexible Distributed Infrastructure for Real-Time Cosimulations in Smart Grids
A Flexible Distributed Infrastructure for Real-Time Cosimulations in Smart Grids
Lorenzo Bottaccioli, Abouzar Estebsari, Enrico Pons, Ettore Bompard, Enrico Macii, Edoardo Patti, Andrea Acquaviva
IEEE Transactions on Industrial Informatics  ·  01 Dec 2017  ·  doi:10.1109/TII.2017.2702206
Prediction horizon vs. efficiency of optimal dynamic thermal control policies in HPC nodes
Prediction horizon vs. efficiency of optimal dynamic thermal control policies in HPC nodes
Daniele Cesarini, Andrea Bartolini, Luca Benini
2017 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)  ·  01 Oct 2017  ·  doi:10.1109/VLSI-SoC.2017.8203471
Benefits in Relaxing the Power Capping Constraint
Benefits in Relaxing the Power Capping Constraint
Daniele Cesarini, Andrea Bartolini, Luca Benini
Proceedings of the 1st Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems  ·  09 Sep 2017  ·  doi:10.1145/3152821.3152878
WARM: Workload-Aware Reliability Management in Linux Android
WARM: Workload-Aware Reliability Management in Linux/Android
Pietro Mercati, Francesco Paterna, Andrea Bartolini, Luca Benini, Tajana Simunic Rosing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  ·  01 Sep 2017  ·  doi:10.1109/TCAD.2016.2611501
Increasing the energy efficiency of microcontroller platforms with low-design margin co-processors
Increasing the energy efficiency of microcontroller platforms with low-design margin co-processors
A. Gomez, A. Bartolini, D. Rossi, B. Can Kara, H. Fatemi, J. Pineda de Gyvez, L. Benini
Microprocessors and Microsystems  ·  01 Aug 2017  ·  doi:10.1016/j.micpro.2017.05.012
Efficient Sample Delay Calculation for 2-D and 3-D Ultrasound Imaging
Efficient Sample Delay Calculation for 2-D and 3-D Ultrasound Imaging
Aya Ibrahim, Pascal A. Hager, Andrea Bartolini, Federico Angiolini, Marcel Arditi, Jean-Philippe Thiran, Luca Benini, Giovanni De Micheli
IEEE Transactions on Biomedical Circuits and Systems  ·  01 Aug 2017  ·  doi:10.1109/TBCAS.2017.2673547
Multiscale Thermal Management of Computing Systems - The MULTITHERMAN approach
Multiscale Thermal Management of Computing Systems - The MULTITHERMAN approach
Andrea Bartolini, Christian Conficoni, Roberto Diversi, Andrea Tilli, Luca Benini
IFAC-PapersOnLine  ·  01 Jul 2017  ·  doi:10.1016/j.ifacol.2017.08.1168
The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems
The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems
Cristina Silvano, Giovanni Agosta, Jorge Barbosa, Andrea Bartolini, Andrea R. Beccari, …, Martin Palkovic, Pedro Pinto, Erven Rohou, Nico Sanna, Katerina Slaninova
2017 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)  ·  01 Jul 2017  ·  doi:10.1109/SAMOS.2017.8344645
Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture
Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture
Wissam Abu Ahmad, Andrea Bartolini, Francesco Beneventi, Luca Benini, Andrea Borghesi, …, Cosimo Gianfreda, Daniele Gregori, Antonio Libri, Filippo Spiga, Simone Tinti
2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)  ·  01 May 2017  ·  doi:10.1109/IPDPSW.2017.22
A Synchronization-Based Hybrid-Memory Multi-Core Architecture for Energy-Efficient Biomedical Signal Processing
A Synchronization-Based Hybrid-Memory Multi-Core Architecture for Energy-Efficient Biomedical Signal Processing
Ruben Braojos, Daniele Bortolotti, Andrea Bartolini, Giovanni Ansaloni, Luca Benini, David Atienza
IEEE Transactions on Computers  ·  01 Apr 2017  ·  doi:10.1109/TC.2016.2610426
Empirical decision model learning
Empirical decision model learning
Michele Lombardi, Michela Milano, Andrea Bartolini
Artificial Intelligence  ·  01 Mar 2017  ·  doi:10.1016/j.artint.2016.01.005
Continuous learning of HPC infrastructure models using big data analytics and in-memory processing tools
Continuous learning of HPC infrastructure models using big data analytics and in-memory processing tools
Francesco Beneventi, Andrea Bartolini, Carlo Cavazzoni, Luca Benini
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017  ·  01 Mar 2017  ·  doi:10.23919/DATE.2017.7927143
Zeroing for HW-efficient compressed sensing architectures targeting data compression in wireless sensor networks
Zeroing for HW-efficient compressed sensing architectures targeting data compression in wireless sensor networks
Mauro Mangia, Daniele Bortolotti, Fabio Pareschi, Andrea Bartolini, Luca Benini, Riccardo Rovatti, Gianluca Setti
Microprocessors and Microsystems  ·  01 Feb 2017  ·  doi:10.1016/j.micpro.2016.09.007

2016

Thermal model identification of supercomputing nodes in production environment
Thermal model identification of supercomputing nodes in production environment
Roberto Diversi, Andrea Bartolini, Francesco Beneventi, Luca Benini
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society  ·  01 Oct 2016  ·  doi:10.1109/IECON.2016.7793664
Application of compressed sensing to ECG signals: Decoder-side benefits of the rakeness approach
Application of compressed sensing to ECG signals: Decoder-side benefits of the rakeness approach
Mauro Mangia, Daniele Bortolotti, Andrea Bartolini, Fabio Pareschi, Luca Beninit, Riccardo Rovatti, Gianluca Setti
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)  ·  01 Oct 2016  ·  doi:10.1109/BioCAS.2016.7833804
A Constraint Programming Scheduler for Heterogeneous High-Performance Computing Machines
A Constraint Programming Scheduler for Heterogeneous High-Performance Computing Machines
Thomas Bridi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
IEEE Transactions on Parallel and Distributed Systems  ·  01 Oct 2016  ·  doi:10.1109/TPDS.2016.2516997
OptoCOMM: Development and experimentation of a new optical wireless underwater modem
OptoCOMM: Development and experimentation of a new optical wireless underwater modem
Andrea Bartolini, Andrea Caiti, Ernesto Ciaramella, Giuseppe Conte, Giulio Cossu, Daniele Costa, Simone Grechi, Roger Nuti, David Scaradozzi, Alessandro Sturniolo
OCEANS 2016 MTS/IEEE Monterey  ·  01 Sep 2016  ·  doi:10.1109/OCEANS.2016.7761138
Integrated Energy-Aware Management of Supercomputer Hybrid Cooling Systems
Integrated Energy-Aware Management of Supercomputer Hybrid Cooling Systems
Christian Conficoni, Andrea Bartolini, Andrea Tilli, Carlo Cavazzoni, Luca Benini
IEEE Transactions on Industrial Informatics  ·  01 Aug 2016  ·  doi:10.1109/TII.2016.2569399
User-space APIs for dynamic power management in many-core ARMv8 computing nodes
User-space APIs for dynamic power management in many-core ARMv8 computing nodes
Daniele Bortolotti, Simone Tinti, Piero Altoe, Andrea Bartolini
2016 International Conference on High Performance Computing & Simulation (HPCS)  ·  01 Jul 2016  ·  doi:10.1109/HPCSim.2016.7568400
Evaluation of synchronization protocols for fine-grain HPC sensor data time-stamping and collection
Evaluation of synchronization protocols for fine-grain HPC sensor data time-stamping and collection
Antonio Libri, Andrea Bartolini, Michele Magno, Luca Benini
2016 International Conference on High Performance Computing & Simulation (HPCS)  ·  01 Jul 2016  ·  doi:10.1109/HPCSim.2016.7568419
Cooling-aware node-level task allocation for next-generation green HPC systems
Cooling-aware node-level task allocation for next-generation green HPC systems
Francesco Beneventi, Andrea Bartolini, Carlo Cavazzoni, Luca Benini
2016 International Conference on High Performance Computing & Simulation (HPCS)  ·  01 Jul 2016  ·  doi:10.1109/HPCSim.2016.7568402
VarDroid
VarDroid
Pietro Mercati, Francesco Paterna, Andrea Bartolini, Mohsen Imani, Luca Benini, Tajana Šimunić Rosing
Proceedings of the 26th edition on Great Lakes Symposium on VLSI  ·  18 May 2016  ·  doi:10.1145/2902961.2902971
The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems
The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems
Cristina Silvano, Giovanni Agosta, Stefano Cherubin, Davide Gadioli, Gianluca Palermo, …, Carlo Cavazzoni, Nico Sanna, Andrea R. Beccari, Radim Cmar, Erven Rohou
Proceedings of the ACM International Conference on Computing Frontiers  ·  16 May 2016  ·  doi:10.1145/2903150.2903470
PHIDIAS
PHIDIAS
D. Bortolotti, A. Bartolini, L. Benini, V. Rajesh Pamula, N. Van Helleputte, …, T. Gemmeke, R. Braojos Lopez, G. Ansaloni, D. Atienza, P. Vandergheynst
Proceedings of the ACM International Conference on Computing Frontiers  ·  16 May 2016  ·  doi:10.1145/2903150.2903469
Ekho: A 30.3W, 10k-Channel Fully Digital Integrated 3-D Beamformer for Medical Ultrasound Imaging Achieving 298M Focal Points per Second
Ekho: A 30.3W, 10k-Channel Fully Digital Integrated 3-D Beamformer for Medical Ultrasound Imaging Achieving 298M Focal Points per Second
Pascal A. Hager, Andrea Bartolini, Luca Benini
IEEE Transactions on Very Large Scale Integration (VLSI) Systems  ·  01 May 2016  ·  doi:10.1109/TVLSI.2015.2488020
Thermal Analysis and Interpolation Techniques for a Logic WideIO Stacked DRAM Test Chip
Thermal Analysis and Interpolation Techniques for a Logic + WideIO Stacked DRAM Test Chip
Francesco Beneventi, Andrea Bartolini, Pascal Vivet, Luca Benini
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  ·  01 Apr 2016  ·  doi:10.1109/TCAD.2015.2474382
A 60 GOPS W, 1.8 V to 0.9 V body bias ULP cluster in 28 nm UTBB FD-SOI technology
A 60 GOPS/W, −1.8 V to 0.9 V body bias ULP cluster in 28 nm UTBB FD-SOI technology
Davide Rossi, Antonio Pullini, Igor Loi, Michael Gautschi, Frank K. Gürkaynak, Andrea Bartolini, Philippe Flatresse, Luca Benini
Solid-State Electronics  ·  01 Mar 2016  ·  doi:10.1016/j.sse.2015.11.015
Towards Near-Threshold Server Processors
Towards Near-Threshold Server Processors
Ali Pahlevan, Javier Picorel, Arash Pourhabibi Zarandi, Davide Rossi, Marina Zapater, Andrea Bartolini, Pablo G. Del Valle, David Atienza, Luca Benini, Babak Falsafi
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)  ·  01 Jan 2016  ·  doi:10.3850/9783981537079_0980
Quantifying the Benefits of Compressed Sensing on a WBSN-based Real-Time Biosignal Monitor
Quantifying the Benefits of Compressed Sensing on a WBSN-based Real-Time Biosignal Monitor
Daniele Bortolotti, Bojan Milosevic, Andrea Bartoliniy, Elisabetta Farellaand Luca Benini
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)  ·  01 Jan 2016  ·  doi:10.3850/9783981537079_0306
Predictive Modeling for Job Power Consumption in HPC Systems
Predictive Modeling for Job Power Consumption in HPC Systems
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Lecture Notes in Computer Science  ·  01 Jan 2016  ·  doi:10.1007/978-3-319-41321-1_10
DARDIS: Distributed And Randomized DIspatching and Scheduling
DARDIS: Distributed And Randomized DIspatching and Scheduling
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
Lecture Notes in Computer Science  ·  01 Jan 2016  ·  doi:10.1007/978-3-319-49130-1_36
DARDIS: Distributed And Randomized DIspatching and Scheduling
DARDIS: Distributed And Randomized DIspatching and Scheduling
Bridi Thomas, Lombardi Michele, Bartolini Andrea, Benini Luca, Milano Michela
Frontiers in Artificial Intelligence and Applications  ·  01 Jan 2016  ·  doi:10.3233/978-1-61499-672-9-1598
AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems: The ANTAREX Approach
AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems: The ANTAREX Approach
Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea R. Beccari, Luca Benini, …, Martin Palkovic, Pedro Pinto, Erven Rohou, Nico Sanna, Katerina Slaninová
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)  ·  01 Jan 2016  ·  doi:10.3850/9783981537079_1012

2015

Long-Term ECG monitoring with zeroing Compressed Sensing approach
Long-Term ECG monitoring with zeroing Compressed Sensing approach
M. Mangia, D. Bortolotti, A. Bartolini, F. Pareschi, L. Benini, R. Rovatti, G. Setti
2015 Nordic Circuits and Systems Conference (NORCAS): NORCHIP & International Symposium on System-on-Chip (SoC)  ·  01 Oct 2015  ·  doi:10.1109/NORCHIP.2015.7364394
ANTAREX -- AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems
ANTAREX -- AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems
Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea Beccari, Luca Benini, …, Gianluca Palermo, Martin Palkovic, Erven Rohou, Nico Sanna, Katerina Slaninova
2015 IEEE 18th International Conference on Computational Science and Engineering  ·  01 Oct 2015  ·  doi:10.1109/CSE.2015.58
Energy-Aware Bio-signal Compressed Sensing Reconstruction: FOCUSS on the WBSN-Gateway
Energy-Aware Bio-signal Compressed Sensing Reconstruction: FOCUSS on the WBSN-Gateway
Daniele Bortolotti, Andrea Bartolini, Mauro Mangia, Riccardo Rovatti, Gianluca Setti, Luca Benini
2015 IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip  ·  01 Sep 2015  ·  doi:10.1109/MCSoC.2015.34
MS3: A Mediterranean-stile job scheduler for supercomputers - do less when it s too hot
MS3: A Mediterranean-stile job scheduler for supercomputers - do less when it's too hot!
Andrea Borghesi, Christian Conficoni, Michele Lombardi, Andrea Bartolini
2015 International Conference on High Performance Computing & Simulation (HPCS)  ·  01 Jul 2015  ·  doi:10.1109/HPCSim.2015.7237025
Guaranteed Computational Resprinting via Model-Predictive Control
Guaranteed Computational Resprinting via Model-Predictive Control
Andrea Tilli, Andrea Bartolini, Matteo Cacciari, Luca Benini
ACM Transactions on Embedded Computing Systems  ·  21 Apr 2015  ·  doi:10.1145/2724715
Temperature variation aware multi-scale delay, power and thermal analysis at RT and gate level
Temperature variation aware multi-scale delay, power and thermal analysis at RT and gate level
Mohammadsadegh Sadri, Andrea Bartolini, Luca Benini
Integration  ·  01 Mar 2015  ·  doi:10.1016/j.vlsi.2014.10.005
Reducing Energy Consumption in Microcontroller-Based Platforms with Low Design Margin Co-Processors
Reducing Energy Consumption in Microcontroller-Based Platforms with Low Design Margin Co-Processors
Andres Gomez, Christian Pinto, Andrea Bartolini, Davide Rossi, Luca Benini, Hamed Fatemi, Jose Pineda de Gyvez
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015  ·  01 Jan 2015  ·  doi:10.7873/DATE.2015.1013
Energy-Aware Cooling for Hot-Water Cooled Supercomputers
Energy-Aware Cooling for Hot-Water Cooled Supercomputers
Christian Conficoni, Andrea Bartolini, Andrea Tilli, Giampietro Tecchiolli, Luca Benini
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015  ·  01 Jan 2015  ·  doi:10.7873/DATE.2015.1100
An Ultra-Low Power Dual-mode ECG Monitor for Healthcare and Wellness
An Ultra-Low Power Dual-mode ECG Monitor for Healthcare and Wellness
Daniele Bortolotti, Mauro Mangia, Andrea Bartolini, Riccardo Rovatti, Gianluca Setti, Luca Benini
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015  ·  01 Jan 2015  ·  doi:10.7873/DATE.2015.0784

2014

Message Passing-Aware Power Management on Many-Core Systems
Message Passing-Aware Power Management on Many-Core Systems
Andrea Bartolini, Can Hankendi, Ayse Kivilcim Coskun, Luca Benini
Journal of Low Power Electronics  ·  01 Dec 2014  ·  doi:10.1166/jolpe.2014.1359
An ultra-low power resilient multi-core architecture with static and dynamic tolerance to ambient temperature-induced variability
An ultra-low power resilient multi-core architecture with static and dynamic tolerance to ambient temperature-induced variability
Daniele Bortolotti, Andrea Bartolini, Luca Benini
Microprocessors and Microsystems  ·  01 Nov 2014  ·  doi:10.1016/j.micpro.2014.06.004
Dynamic variability management in mobile multicore processors under lifetime constraints
Dynamic variability management in mobile multicore processors under lifetime constraints
Pietro Mercati, Francesco Paterna, Andrea Bartolini, Luca Benini, Tajana Simunic Rosing
2014 IEEE 32nd International Conference on Computer Design (ICCD)  ·  01 Oct 2014  ·  doi:10.1109/ICCD.2014.6974718
Assessing the area power performance tradeoffs for an integrated fully-digital, large-scale 3D-ultrasound beamformer
Assessing the area/power/performance tradeoffs for an integrated fully-digital, large-scale 3D-ultrasound beamformer
Pascal Alexander Hager, Pirmin Vogel, Andrea Bartolini, Luca Benini
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings  ·  01 Oct 2014  ·  doi:10.1109/BioCAS.2014.6981704
Rakeness-based compressed sensing on ultra-low power multi-core biomedicai processors
Rakeness-based compressed sensing on ultra-low power multi-core biomedicai processors
Daniele Bortolotti, Mauro Mangia, Andrea Bartolini, Riccardo Rovatti, Gianluca Setti, Luca Benini
Proceedings of the 2014 Conference on Design and Architectures for Signal and Image Processing  ·  01 Oct 2014  ·  doi:10.1109/DASIP.2014.7115599
Bias-Compensated Least Squares Identification of Distributed Thermal Models for Many-Core Systems-on-Chip
Bias-Compensated Least Squares Identification of Distributed Thermal Models for Many-Core Systems-on-Chip
Roberto Diversi, Andrea Tilli, Andrea Bartolini, Francesco Beneventi, Luca Benini
IEEE Transactions on Circuits and Systems I: Regular Papers  ·  01 Sep 2014  ·  doi:10.1109/TCSI.2014.2312495
Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer
Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer
Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, Luca Benini
Proceedings of the 2014 international symposium on Low power electronics and design  ·  11 Aug 2014  ·  doi:10.1145/2627369.2627659
Approximate compressed sensing
Approximate compressed sensing
Daniele Bortolotti, Hossein Mamaghanian, Andrea Bartolini, Maryam Ashouei, Jan Stuijt, David Atienza, Pierre Vandergheynst, Luca Benini
Proceedings of the 2014 international symposium on Low power electronics and design  ·  11 Aug 2014  ·  doi:10.1145/2627369.2627629
An On-line Reliability Emulation Framework
An On-line Reliability Emulation Framework
Pietro Mercati, Andrea Bartolini, Francesco Paterna, Luca Benini, Tajana Simunic Rosing
2014 12th IEEE International Conference on Embedded and Ubiquitous Computing  ·  01 Aug 2014  ·  doi:10.1109/EUC.2014.59
Optimum: Thermal-aware task allocation for heterogeneous many-core devices
Optimum: Thermal-aware task allocation for heterogeneous many-core devices
Andrea Rudi, Andrea Bartolini, Andrea Lodi, Luca Benini
2014 International Conference on High Performance Computing & Simulation (HPCS)  ·  01 Jul 2014  ·  doi:10.1109/HPCSim.2014.6903672
Efficient parallel beamforming for 3D ultrasound imaging
Efficient parallel beamforming for 3D ultrasound imaging
Pirmin Vogel, Andrea Bartolini, Luca Benini
Proceedings of the 24th edition of the great lakes symposium on VLSI  ·  20 May 2014  ·  doi:10.1145/2591513.2591599
An Effective Gray-Box Identification Procedure for Multicore Thermal Modeling
An Effective Gray-Box Identification Procedure for Multicore Thermal Modeling
IEEE Transactions on Computers  ·  01 May 2014  ·  doi:10.1109/TC.2012.293
Unveiling Eurora - Thermal and power characterization of the most energy-efficient supercomputer in the world
Unveiling Eurora - Thermal and power characterization of the most energy-efficient supercomputer in the world
Andrea Bartolini, Matteo Cacciari, Carlo Cavazzoni, Giampietro Tecchiolli, Luca Benini
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014  ·  01 Jan 2014  ·  doi:10.7873/DATE2014.290
Unveiling Eurora - Thermal and power characterization of the most energy-efficient supercomputer in the world
Unveiling Eurora - Thermal and power characterization of the most energy-efficient supercomputer in the world
Andrea Bartolini, Matteo Cacciari, Carlo Cavazzoni, Giampietro Tecchiolli, Luca Benini
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014  ·  01 Jan 2014  ·  doi:10.7873/DATE.2014.290
Thermal analysis and model identification techniques for a logic WIDEIO stacked DRAM test chip
Thermal analysis and model identification techniques for a logic + WIDEIO stacked DRAM test chip
Francesco Beneventi, Andrea Bartolini, Pascal Vivet, Denis Dutoit, Luca Benini
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014  ·  01 Jan 2014  ·  doi:10.7873/DATE2014.345
Proactive Workload Dispatching on the EURORA Supercomputer
Proactive Workload Dispatching on the EURORA Supercomputer
Andrea Bartolini, Andrea Borghesi, Thomas Bridi, Michele Lombardi, Michela Milano
Lecture Notes in Computer Science  ·  01 Jan 2014  ·  doi:10.1007/978-3-319-10428-7_55
Hybrid memory architecture for voltage scaling in ultra-low power multi-core biomedical processors
Hybrid memory architecture for voltage scaling in ultra-low power multi-core biomedical processors
Daniele Bortolotti, Andrea Bartolini, Christian Weis, Davide Rossi, Luca Beninio
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014  ·  01 Jan 2014  ·  doi:10.7873/DATE2014.182
A Linux-governor based Dynamic Reliability Manager for android mobile devices
A Linux-governor based Dynamic Reliability Manager for android mobile devices
Pietro Mercati, Andrea Bartolini, Francesco Paterna, Tajana Simunic Rosing, Luca Benini
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014  ·  01 Jan 2014  ·  doi:10.7873/DATE2014.117
A Linux-governor based Dynamic Reliability Manager for android mobile devices
A Linux-governor based Dynamic Reliability Manager for android mobile devices
Pietro Mercati, Andrea Bartolini, Francesco Paterna, Tajana Simunic Rosing, Luca Benini
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014  ·  01 Jan 2014  ·  doi:10.7873/DATE.2014.117

2013

Identification of many-core systems-on-chip with input and output noises
Identification of many-core systems-on-chip with input and output noises
Roberto Diversi, Andrea Tilli, Andrea Bartolini, Luca Benini
52nd IEEE Conference on Decision and Control  ·  01 Dec 2013  ·  doi:10.1109/CDC.2013.6760915
On-line thermal emulation: How to speed-up your thermal controller design
On-line thermal emulation: How to speed-up your thermal controller design
Francesco Beneventi, Andrea Bartolini, Luca Benini
2013 23rd International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)  ·  01 Sep 2013  ·  doi:10.1109/PATMOS.2013.6662161
An Ambient Temperature Variation Tolerance Scheme for an Ultra Low Power Shared-L1 Processor Cluster
An Ambient Temperature Variation Tolerance Scheme for an Ultra Low Power Shared-L1 Processor Cluster
Daniele Bortolotti, Andrea Bartolini, Luca Benini
2013 Euromicro Conference on Digital System Design  ·  01 Sep 2013  ·  doi:10.1109/DSD.2013.74
A variation tolerant architecture for ultra low power multi-processor cluster
A variation tolerant architecture for ultra low power multi-processor cluster
Daniele Bortolotti, Davide Rossi, Andrea Bartolini, Luca Benini
2013 23rd International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)  ·  01 Sep 2013  ·  doi:10.1109/PATMOS.2013.6662152
Errors-in-variables identification of thermal models for many-core computing systems
Errors-in-variables identification of thermal models for many-core computing systems
Roberto Diversi, Andrea Tilli, Andrea Bartolini, Luca Benini
2013 European Control Conference (ECC)  ·  01 Jul 2013  ·  doi:10.23919/ECC.2013.6669398
Workload and user experience-aware dynamic reliability management in multicore processors
Workload and user experience-aware dynamic reliability management in multicore processors
Pietro Mercati, Andrea Bartolini, Francesco Paterna, Tajana Simunic Rosing, Luca Benini
Proceedings of the 50th Annual Design Automation Conference  ·  29 May 2013  ·  doi:10.1145/2463209.2488735
Thermal and Energy Management of High-Performance Multicores: Distributed and Self-Calibrating Model-Predictive Controller
Thermal and Energy Management of High-Performance Multicores: Distributed and Self-Calibrating Model-Predictive Controller
Andrea Bartolini, Matteo Cacciari, Andrea Tilli, Luca Benini
IEEE Transactions on Parallel and Distributed Systems  ·  01 Jan 2013  ·  doi:10.1109/TPDS.2012.117
SCC Thermal Model Identification via Advanced Bias-Compensated Least-Squares
SCC Thermal Model Identification via Advanced Bias-Compensated Least-Squares
Roberto Diversi, Andrea Bartolini, Andrea Tilli, Francesco Beneventi, Luca Benini
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013  ·  01 Jan 2013  ·  doi:10.7873/DATE.2013.060

2012

Don t burn your mobile
Don't burn your mobile!
Andrea Tilli, Andrea Bartolini, Matteo Cacciari, Luca Benini
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis  ·  07 Oct 2012  ·  doi:10.1145/2380445.2380504
Thermal models characterization for reliable temperature capping and performance optimization in Multiprocessor Systems on Chip
Thermal models characterization for reliable temperature capping and performance optimization in Multiprocessor Systems on Chip
Andrea Tilli, E. Garone, M. Cacciari, A. Bartolini
2012 American Control Conference (ACC)  ·  01 Jun 2012  ·  doi:10.1109/ACC.2012.6314827
Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer
Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer
A. Bartolini, MohammadSadegh Sadri, J. Furst, A. K. Coskun, L. Benini
2012 Design, Automation & Test in Europe Conference & Exhibition (DATE)  ·  01 Mar 2012  ·  doi:10.1109/DATE.2012.6176459

2011

Static Thermal Model Learning for High-Performance Multicore Servers
Static Thermal Model Learning for High-Performance Multicore Servers
Francesco Beneventi, Andrea Bartolini, Luca Benini
2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN)  ·  01 Jul 2011  ·  doi:10.1109/ICCCN.2011.6006065
Neuron Constraints to Model Complex Real-World Problems
Neuron Constraints to Model Complex Real-World Problems
Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Lecture Notes in Computer Science  ·  01 Jan 2011  ·  doi:10.1007/978-3-642-23786-7_11
Dynamic power management: from portable devices to high performance computing
Dynamic power management: from portable devices to high performance computing
Alma Mater Studiorum - Università di Bologna  ·  01 Jan 2011  ·  doi:10.6092/UNIBO/AMSDOTTORATO/3558
A System Level Approach to Multi-core Thermal Sensors Calibration
A System Level Approach to Multi-core Thermal Sensors Calibration
Andrea Bartolini, MohammadSadegh Sadri, Francesco Beneventi, Matteo Cacciari, Andrea Tilli, Luca Benini
Lecture Notes in Computer Science  ·  01 Jan 2011  ·  doi:10.1007/978-3-642-24154-3_3

2010

A virtual platform environment for exploring power, thermal and reliability management control strategies in high-performance multicores
A virtual platform environment for exploring power, thermal and reliability management control strategies in high-performance multicores
Andrea Bartolini, Matteo Cacciari, Andrea Tilli, Luca Benini, Matthias Gries
Proceedings of the 20th symposium on Great lakes symposium on VLSI  ·  16 May 2010  ·  doi:10.1145/1785481.1785553

2009

i HVS-DBS i
HVS-DBS
Andrea Bartolini, Martino Ruggiero, Luca Benini
Proceedings of the seventh ACM international conference on Embedded software  ·  12 Oct 2009  ·  doi:10.1145/1629335.1629339
Visual quality analysis for dynamic backlight scaling in LCD systems
Visual quality analysis for dynamic backlight scaling in LCD systems
A. Bartolini, M. Ruggiero, L. Benini
2009 Design, Automation & Test in Europe Conference & Exhibition  ·  01 Apr 2009  ·  doi:10.1109/DATE.2009.5090888

2008

Analysis of Power Management Strategies for a Large-Scale SoC Platform in 65nm Technology
Analysis of Power Management Strategies for a Large-Scale SoC Platform in 65nm Technology
Andrea Marongiu, Luca Benini, Andrea Acquaviva, Andrea Bartolini
2008 11th EUROMICRO Conference on Digital System Design Architectures, Methods and Tools  ·  01 Jan 2008  ·  doi:10.1109/DSD.2008.100

Web of Science
Web of Science
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Web of Science
Web of Science
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Web of Science
Web of Science
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Web of Science
Web of Science
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Web of Science
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