Enrico Russo

According to our database, Enrico Russo authored at least 25 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference.

Pol Puigdemont, Enrico Russo, Axel Wassington, Abhijit Das, Sergi Abadal, Maurizio Palesi

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-Based Accelerators.

Abhijit Das, Enrico Russo, Maurizio Palesi

IEEE Trans. Computers, August, 2024

Correction to: The position-based compression techniques for DNN model.

Minghua Tang, Enrico Russo, Maurizio Palesi

J. Supercomput., January, 2024

Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures.

Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania

CoRR, 2024

DNN Hardware Accelerator Selection for Feasible Deployment of MARL-Based MAC Protocols in Industrial IoT Networks.

Enrico Russo, Elio Vinciguerra, Giuseppe Ascia, Daniela Panno

Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Improving LSTM-based Indoor Positioning via Simulation-Augmented Geomagnetic Field Dataset.

Elio Vinciguerra, Enrico Russo, Maurizio Palesi, Giuseppe Ascia, Hamaad Rafique

Proceedings of the IEEE International Conference on Mobility, 2024

Lessons Learned on the Design of Cost-Effective and Highly Compatible Smart Gloves.

Marco Finocchiaro, Salvatore Monteleone, Enrico Russo, Maurizio Palesi, Davide Patti

Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

Data-Driven Simulation Based Fault Detection in Automotive RISC-V Applications.

Elio Vinciguerra, Enrico Russo, Maurizio Palesi, Giuseppe Ascia

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

Assessing the Role of Communication in Scalable Multi-Core Quantum Architectures.

Maurizio Palesi, Enrico Russo, Davide Patti, Giuseppe Ascia, Vincenzo Catania

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning.

Enrico Russo, Francesco Giulio Blanco, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Vincenzo Catania

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Abstracting Bitcoin Lightning Network Complexity with Ultraviolet.

Davide Patti, Salvatore Monteleone, Enrico Russo, Maurizio Palesi, Vincenzo Catania

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2024

A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems.

Francesco Giulio Blanco, Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

A Novel Timechain-Level Approach to the Modeling of the Bitcoin Lightning Network.

Davide Patti, Salvatore Monteleone, Enrico Russo, Maurizio Palesi, Vincenzo Catania

Proceedings of the IEEE International Conference on Blockchain, 2024

2023

The position-based compression techniques for DNN model.

Minghua Tang, Enrico Russo, Maurizio Palesi

J. Supercomput., October, 2023

Multiobjective End-to-End Design Space Exploration of Parameterized DNN Accelerators.

Enrico Russo, Maurizio Palesi, Davide Patti, Salvatore Monteleone, Giuseppe Ascia, Vincenzo Catania

IEEE Internet Things J., January, 2023

A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures.

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

CoRR, 2023

Wireless enabled Inter-Chiplet Communication in DNN Hardware Accelerators.

Maurizio Palesi, Enrico Russo, Abhijit Das, John Jose

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Memory-Aware DNN Algorithm-Hardware Mapping via Integer Linear Programming.

Enrico Russo, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Salvatore Monteleone, Vincenzo Catania

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

DNN Model Compression for IoT Domain-Specific Hardware Accelerators.

Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Andrea Mineo, Giuseppe Ascia, Vincenzo Catania

IEEE Internet Things J., 2022

Multi-Objective Hardware-Mapping Co-Optimisation for Multi-Tenant DNN Accelerators.

Abhijit Das, Enrico Russo, Maurizio Palesi

CoRR, 2022

Analyzing the Impact of DNN Hardware Accelerators-Oriented Compression Techniques on General-Purpose Low-End Boards.

Giuliano Canzonieri, Salvatore Monteleone, Maurizio Palesi, Enrico Russo, Davide Patti

Proceedings of the Mobile Web and Intelligent Information Systems, 2022

Exploiting the Approximate Computing Paradigm with DNN Hardware Accelerators.

Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Habiba Lahdhiri, Giuseppe Ascia, Vincenzo Catania

Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

Combined Application of Approximate Computing Techniques in DNN Hardware Accelerators.

Enrico Russo, Maurizio Palesi, Davide Patti, Habiba Lahdhiri, Salvatore Monteleone, Giuseppe Ascia, Vincenzo Catania

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

MEDEA: A Multi-objective Evolutionary Approach to DNN Hardware Mapping.

Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Giuseppe Ascia, Vincenzo Catania

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

LAMBDA: An Open Framework for Deep Neural Network Accelerators Simulation.

Enrico Russo, Maurizio Palesi, Salvatore Monteleone, Davide Patti, Giuseppe Ascia, Vincenzo Catania

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021