Device-Edge-Cloud Intelligent Collaboration framEwork

Project Information

DECICE

Grant agreement ID: 101092582

DOI

10.3030/101092582

Project closed

EC signature date 23 November 2022

Start date 1 December 2022

End date 30 November 2025

Funded under

• Digital, Industry and Space

Total cost

€ 5 627 250,00

EU contribution

€ 5 627 249,50

Coordinated by

GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTS
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (7)

GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems

Author(s): Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini
Published in: Future Generation Computer Systems, Issue 160, 2024, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/J.FUTURE.2024.06.032

The REGALE Library: A DDS Interoperability Layer for the HPC PowerStack

Author(s): Giacomo Madella, Federico Tesser, Lluis Alonso, Julita Corbalan, Daniele Cesarini, Andrea Bartolini
Published in: Journal of Low Power Electronics and Applications, Issue 15, 2025, ISSN 2079-9268
Publisher: MDPI AG
DOI: 10.3390/JLPEA15010010

Performance Characterization of Hardware/Software Communication Interfaces in End-to-End Power Management Solutions of High-Performance Computing Processors

Author(s): Antonio del Vecchio, Alessandro Ottaviano, Giovanni Bambini, Andrea Acquaviva, Andrea Bartolini
Published in: Energies, Issue 17, 2025, ISSN 1996-1073
Publisher: MDPI AG
DOI: 10.3390/EN17225778

Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator

Author(s): Luca Zanatta, Alfio Di Mauro, Francesco Barchi, Andrea Bartolini, Luca Benini, Andrea Acquaviva
Published in: Neurocomputing, Issue 562, 2025, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/J.NEUCOM.2023.126885

M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer

Author(s): Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Seyedkazemi Ardebili, Mohsen; Mauri, Alessio; Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; BENINI, LUCA; Beneventi, Francesco; Bartolini, Andrea
Published in: Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023), 2023, ISSN 2052-4463
Publisher: Nature
DOI: 10.3929/ethz-b-000614369

Fair and efficient resource allocation via vehicle-edge cooperation in 5G-V2X networks

Author(s): Muhammed Nur Avcil, Mujdat Soyturk, Burak Kantarci
Published in: Vehicular Communications, Issue 48, 2024, ISSN 2214-2096
Publisher: Elsevier BV
DOI: 10.1016/J.VEHCOM.2024.100773

HazardNet: A thermal hazard prediction framework for datacenters

Author(s): Seyedkazemi Ardebili, Mohsen, Andrea Acquaviva, Luca Benini, and Andrea Bartolini.
Published in: Future Generation Computer Systems, ISSN 1872-7115
Publisher: ScienceDirect
DOI: 10.1016/J.FUTURE.2024.01.031

Conference proceedings (9)

PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System

Author(s): Francesco Antici, Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Zeynep Kiziltan
Published in: Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, 2025
Publisher: ACM
DOI: 10.1145/3624062.3624263

DECICE

Author(s): Julian Martin 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
Published in: Crossref, 2023, ISBN 9798400701405
Publisher: Association for Computing Machinery
DOI: 10.48550/arxiv.2305.02697

SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions

Author(s): Simone Manoni, Paul Scheffler, Luca Zanatta, Andrea Acquaviva, Luca Benini, Andrea Bartolini
Published in: 2025 Design, Automation & Test in Europe Conference (DATE), 2025
Publisher: IEEE
DOI: 10.23919/DATE64628.2025.10992749

TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle

Author(s): Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
Published in: Proceedings of the 21st ACM International Conference on Computing Frontiers, 2025
Publisher: ACM
DOI: 10.1145/3649153.3649201

Comparing Fault-tolerance in Kubernetes and Slurm in HPC Infrastructure

Author(s): Mirac Aydin, Michael Bidollahkhani, and Julian M. Kunkel
Published in: ISSN 2308-4499
Publisher: ADVCOMP 2024

Graph Neural Networks for Anomaly Anticipation in HPC Systems

Author(s): Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini
Published in: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2025
Publisher: ACM
DOI: 10.1145/3578245.3585335

Bio-Inspired Drone Control: A Reinforcement Learning-Trained Spiking Neural Networks for Agile Navigation in Dynamic Environment

Author(s): Yin-Ching Lee, Sebastiano Mengozzi, Luca Zanatta, Andrea Bartolini, Andrea Acquaviva, Francesco Barchi
Published in: 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2025
Publisher: IEEE
DOI: 10.1109/COINS65080.2025.11125776

HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads

Author(s): Michael Bidollahkhani, Aasish Kumar Sharma and Julian Martin Kunkel
Published in: Issue CFP24061-ART, ISSN 2836-3795
Publisher: IEEE COMPSAC

Towards Nano-Drones Agile Flight Using Deep Reinforcement Learning

Author(s): Sebastiano Mengozzi, Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
Published in: 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2024
Publisher: IEEE
DOI: 10.1109/COINS61597.2024.10622558

Other (4)

Monte Cimone v2: Down the Road of RISC-V High-Performance Computers

Publisher: Emanuele Venieri, Simone Manoni, Gabriele Ceccolini, Giacomo Madella, Federico Ficarelli, Daniele Gregori, Daniele Cesarini, Luca Benini, Andrea Bartolini

https://arxiv.org/html/2504.01972

Author(s): Umberto Laghi, Simone Manoni, Emanuele Parisi, Andrea Bartolini
Published in: 2025
Publisher: arxiv.org

MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs

Author(s): Antici, Francesco ; Bartolini, Andrea ; Kiziltan, Zeynep ; Babaoglu, Ozalp ; Kodama, Yuetsu
Published in: 2024
Publisher: Universtià di Bologna

Assessing Tenstorrent’s RISC-V MatMul Acceleration Capabilities

Author(s): Hiari Pizzini Cavagna, Daniele Cesarini, Andrea Bartolini
Published in: 2025
Publisher: Cornell University