Enrico Russo

35 papers A* 1A 2C 3Journal 15Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Assessing the Role of Communication in Modular Multi-Core Quantum Systems.
ACM Trans. Design Autom. Electr. Syst.
Maurizio Palesi, Enrico Russo, Giuseppe Ascia, Hamaad Rafique, Davide Patti, Vincenzo Catania, Sergi Abadal, Abhijit Das, Pau Escofet, Eduard Alarcón, Carmen G. Almudéver
2026 J jnl
CHAOS: Controlled Hardware fAult injectOr System for gem5.
CoRR
Elio Vinciguerra, Enrico Russo, Giuseppe Ascia, Maurizio Palesi
2026 J jnl
Timechain-level modeling and analysis of the bitcoin lightning network.
Comput. Networks
Davide Patti, Salvatore Monteleone, Enrico Russo, Maurizio Palesi
2025 — conf
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference.
ASP-DAC
Pol Puigdemont, Enrico Russo, Axel Wassington, Abhijit Das, Sergi Abadal, Maurizio Palesi
2025 C conf
An Anomaly Detection Model for RISC-V in Automotive Applications: A Domain-Specific Accelerator Perspective.
PDP
Elio Vinciguerra, Enrico Russo, Maurizio Palesi, Giuseppe Ascia
2025 J jnl
Assessing the Role of Communication in Modular Multi-Core Quantum Systems.
CoRR
Maurizio Palesi, Enrico Russo, Giuseppe Ascia, Hamaad Rafique, Davide Patti, Vincenzo Catania, Sergi Abadal, Abhijit Das, Pau Escofet, Eduard Alarcón, Carmen G. Almudéver
2025 — conf
Instruction-Directed MAC for Efficient Classical Communication in Scalable Multi-Chip Quantum Systems.
MCSoC
Maurizio Palesi, Enrico Russo, Hamaad Rafique, Giuseppe Ascia, Davide Patti, Abhijit Das, Sergi Abadal
2025 A conf
Optimizing Qubit Assignment in Modular Quantum Systems via Attention-Based Deep Reinforcement Learning.
DATE
Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania
2024 J jnl
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference.
CoRR
Pol Puigdemont, Enrico Russo, Axel Wassington, Abhijit Das, Sergi Abadal, Maurizio Palesi
2024 A* conf
A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems.
DAC
Francesco Giulio Blanco, Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania
2024 — conf
A Novel Timechain-Level Approach to the Modeling of the Bitcoin Lightning Network.
Blockchain
Davide Patti, Salvatore Monteleone, Enrico Russo, Maurizio Palesi, Vincenzo Catania
2024 C conf
Abstracting Bitcoin Lightning Network Complexity with Ultraviolet.
ICBC
Davide Patti, Salvatore Monteleone, Enrico Russo, Maurizio Palesi, Vincenzo Catania
2024 — conf
Assessing the Role of Communication in Scalable Multi-Core Quantum Architectures.
MCSoC
Maurizio Palesi, Enrico Russo, Davide Patti, Giuseppe Ascia, Vincenzo Catania
2024 J jnl
Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures.
CoRR
Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania
2024 J jnl
Correction to: The position-based compression techniques for DNN model.
J. Supercomput.
Minghua Tang, Enrico Russo, Maurizio Palesi
2024 — conf
DNN Hardware Accelerator Selection for Feasible Deployment of MARL-Based MAC Protocols in Industrial IoT Networks.
RTSI
Enrico Russo, Elio Vinciguerra, Giuseppe Ascia, Daniela Panno
2024 — conf
Data-Driven Simulation Based Fault Detection in Automotive RISC-V Applications.
MCSoC
Elio Vinciguerra, Enrico Russo, Maurizio Palesi, Giuseppe Ascia
2024 J jnl
Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems.
CoRR
Francesco Giulio Blanco, Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania
2024 — conf
Improving LSTM-based Indoor Positioning via Simulation-Augmented Geomagnetic Field Dataset.
MOST
Elio Vinciguerra, Enrico Russo, Maurizio Palesi, Giuseppe Ascia, Hamaad Rafique
2024 — conf
Lessons Learned on the Design of Cost-Effective and Highly Compatible Smart Gloves.
MECO
Marco Finocchiaro, Salvatore Monteleone, Enrico Russo, Maurizio Palesi, Davide Patti
2024 J jnl
Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-Based Accelerators.
IEEE Trans. Computers
Abhijit Das, Enrico Russo, Maurizio Palesi
2024 C conf
Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning.
ISCAS
Enrico Russo, Francesco Giulio Blanco, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Vincenzo Catania
2024 J jnl
Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning.
CoRR
Enrico Russo, Francesco Giulio Blanco, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Vincenzo Catania
2023 J jnl
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures.
CoRR
Fabrizio Ferrandi, Serena Curzel, Leandro Fiorin, Daniele Ielmini, Cristina Silvano, Francesco Conti, Alessio Burrello, Francesco Barchi, Luca Benini, Luciano Lavagno, Teodoro Urso, Enrico Calore, Sebastiano Fabio Schifano, Cristian Zambelli, Maurizio Palesi, Giuseppe Ascia, Enrico Russo, Nicola Petra, Davide De Caro, Gennaro Di Meo, Valeria Cardellini, Salvatore Filippone, Francesco Lo Presti, Francesco Silvestri, Paolo Palazzari, Stefania Perri
2023 — conf
Memory-Aware DNN Algorithm-Hardware Mapping via Integer Linear Programming.
CF
Enrico Russo, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Salvatore Monteleone, Vincenzo Catania
2023 J jnl
Multiobjective End-to-End Design Space Exploration of Parameterized DNN Accelerators.
IEEE Internet Things J.
Enrico Russo, Maurizio Palesi, Davide Patti, Salvatore Monteleone, Giuseppe Ascia, Vincenzo Catania
2023 J jnl
The position-based compression techniques for DNN model.
J. Supercomput.
Minghua Tang, Enrico Russo, Maurizio Palesi
2023 — conf
Wireless enabled Inter-Chiplet Communication in DNN Hardware Accelerators.
IPDPS Workshops
Maurizio Palesi, Enrico Russo, Abhijit Das, John Jose
2022 — conf
Analyzing the Impact of DNN Hardware Accelerators-Oriented Compression Techniques on General-Purpose Low-End Boards.
MobiWIS
Giuliano Canzonieri, Salvatore Monteleone, Maurizio Palesi, Enrico Russo, Davide Patti
2022 — conf
Combined Application of Approximate Computing Techniques in DNN Hardware Accelerators.
IPDPS Workshops
Enrico Russo, Maurizio Palesi, Davide Patti, Habiba Lahdhiri, Salvatore Monteleone, Giuseppe Ascia, Vincenzo Catania
2022 J jnl
DNN Model Compression for IoT Domain-Specific Hardware Accelerators.
IEEE Internet Things J.
Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Andrea Mineo, Giuseppe Ascia, Vincenzo Catania
2022 — conf
Exploiting the Approximate Computing Paradigm with DNN Hardware Accelerators.
MECO
Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Habiba Lahdhiri, Giuseppe Ascia, Vincenzo Catania
2022 A conf
MEDEA: A Multi-objective Evolutionary Approach to DNN Hardware Mapping.
DATE
Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Giuseppe Ascia, Vincenzo Catania
2022 J jnl
Multi-Objective Hardware-Mapping Co-Optimisation for Multi-Tenant DNN Accelerators.
CoRR
Abhijit Das, Enrico Russo, Maurizio Palesi
2021 — conf
LAMBDA: An Open Framework for Deep Neural Network Accelerators Simulation.
PerCom Workshops
Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Giuseppe Ascia, Vincenzo Catania