Enrico Russo

Orcid: 0000-0002-7598-146X

Affiliations:
  • University of Catania, Department of Electrical, Electronic and Computer Engineering, Italy


According to our database1, Enrico Russo authored at least 25 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference.
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.
IEEE Trans. Computers, August, 2024

Correction to: The position-based compression techniques for DNN model.
J. Supercomput., January, 2024

Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures.
CoRR, 2024

DNN Hardware Accelerator Selection for Feasible Deployment of MARL-Based MAC Protocols in Industrial IoT Networks.
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.
Proceedings of the IEEE International Conference on Mobility, 2024

Lessons Learned on the Design of Cost-Effective and Highly Compatible Smart Gloves.
Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

Data-Driven Simulation Based Fault Detection in Automotive RISC-V Applications.
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.
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.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Abstracting Bitcoin Lightning Network Complexity with Ultraviolet.
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.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

A Novel Timechain-Level Approach to the Modeling of the Bitcoin Lightning Network.
Proceedings of the IEEE International Conference on Blockchain, 2024

2023
The position-based compression techniques for DNN model.
J. Supercomput., October, 2023

Multiobjective End-to-End Design Space Exploration of Parameterized DNN Accelerators.
IEEE Internet Things J., January, 2023

A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures.
CoRR, 2023

Wireless enabled Inter-Chiplet Communication in DNN Hardware Accelerators.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Memory-Aware DNN Algorithm-Hardware Mapping via Integer Linear Programming.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022
DNN Model Compression for IoT Domain-Specific Hardware Accelerators.
IEEE Internet Things J., 2022

Multi-Objective Hardware-Mapping Co-Optimisation for Multi-Tenant DNN Accelerators.
CoRR, 2022

Analyzing the Impact of DNN Hardware Accelerators-Oriented Compression Techniques on General-Purpose Low-End Boards.
Proceedings of the Mobile Web and Intelligent Information Systems, 2022

Exploiting the Approximate Computing Paradigm with DNN Hardware Accelerators.
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

Combined Application of Approximate Computing Techniques in DNN Hardware Accelerators.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

MEDEA: A Multi-objective Evolutionary Approach to DNN Hardware Mapping.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
LAMBDA: An Open Framework for Deep Neural Network Accelerators Simulation.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021


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