Enrico Russo
Orcid: 0000-0002-7598-146XAffiliations:
- 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:
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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
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
Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024
Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024
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
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
Proceedings of the IEEE International Conference on Blockchain, 2024
2023
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
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023
2022
IEEE Internet Things J., 2022
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
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
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
2021
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021