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Enrico Russo 0002
Person information
- affiliation: University of Catania, Department of Electrical, Electronic and Computer Engineering, Italy
Other persons with the same name
- Enrico Russo — disambiguation page
- Enrico Russo 0001
— University of Genoa, Italy
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2020 – today
- 2024
- [j5]Abhijit Das
Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-Based Accelerators. IEEE Trans. Computers 73(8): 1883-1898 (2024) - [j4]Minghua Tang, Enrico Russo, Maurizio Palesi:
Correction to: The position-based compression techniques for DNN model. J. Supercomput. 80(1): 1365 (2024) - [c14]Davide Patti, Salvatore Monteleone, Enrico Russo, Maurizio Palesi, Vincenzo Catania:
A Novel Timechain-Level Approach to the Modeling of the Bitcoin Lightning Network. Blockchain 2024: 11-18 - [c13]Francesco Giulio Blanco
A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems. DAC 2024: 236:1-236:6 - [c12]Davide Patti, Salvatore Monteleone, Enrico Russo, Maurizio Palesi, Vincenzo Catania:
Abstracting Bitcoin Lightning Network Complexity with Ultraviolet. ICBC 2024: 528-530 - [c11]Enrico Russo, Francesco Giulio Blanco, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Vincenzo Catania:
Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning. ISCAS 2024: 1-5 - [c10]Marco Finocchiaro, Salvatore Monteleone, Enrico Russo, Maurizio Palesi, Davide Patti:
Lessons Learned on the Design of Cost-Effective and Highly Compatible Smart Gloves. MECO 2024: 1-8 - [c9]Elio Vinciguerra, Enrico Russo, Maurizio Palesi, Giuseppe Ascia, Hamaad Rafique:
Improving LSTM-based Indoor Positioning via Simulation-Augmented Geomagnetic Field Dataset. MOST 2024: 251-259 - [c8]Enrico Russo, Elio Vinciguerra, Giuseppe Ascia, Daniela Panno:
DNN Hardware Accelerator Selection for Feasible Deployment of MARL-Based MAC Protocols in Industrial IoT Networks. RTSI 2024: 443-448 - [i5]Enrico Russo, Francesco Giulio Blanco, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Vincenzo Catania:
Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning. CoRR abs/2403.00766 (2024) - [i4]Francesco Giulio Blanco, Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania:
Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems. CoRR abs/2404.08950 (2024) - [i3]Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania:
Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures. CoRR abs/2406.11452 (2024) - 2023
- [j3]Enrico Russo
Multiobjective End-to-End Design Space Exploration of Parameterized DNN Accelerators. IEEE Internet Things J. 10(2): 1800-1812 (2023) - [j2]Minghua Tang, Enrico Russo, Maurizio Palesi:
The position-based compression techniques for DNN model. J. Supercomput. 79(15): 17445-17474 (2023) - [c7]Enrico Russo
Memory-Aware DNN Algorithm-Hardware Mapping via Integer Linear Programming. CF 2023: 134-143 - [c6]Maurizio Palesi, Enrico Russo, Abhijit Das, John Jose:
Wireless enabled Inter-Chiplet Communication in DNN Hardware Accelerators. IPDPS Workshops 2023: 477-483 - [i2]Fabrizio Ferrandi
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. CoRR abs/2311.17815 (2023) - 2022
- [j1]Enrico Russo
DNN Model Compression for IoT Domain-Specific Hardware Accelerators. IEEE Internet Things J. 9(9): 6650-6662 (2022) - [c5]Enrico Russo, Maurizio Palesi, Salvatore Monteleone
MEDEA: A Multi-objective Evolutionary Approach to DNN Hardware Mapping. DATE 2022: 226-231 - [c4]Enrico Russo, Maurizio Palesi, Davide Patti, Habiba Lahdhiri, Salvatore Monteleone
Combined Application of Approximate Computing Techniques in DNN Hardware Accelerators. IPDPS Workshops 2022: 16-23 - [c3]Enrico Russo, Maurizio Palesi, Salvatore Monteleone
Exploiting the Approximate Computing Paradigm with DNN Hardware Accelerators. MECO 2022: 1-4 - [c2]Giuliano Canzonieri, Salvatore Monteleone
Analyzing the Impact of DNN Hardware Accelerators-Oriented Compression Techniques on General-Purpose Low-End Boards. MobiWIS 2022: 143-155 - [i1]Abhijit Das, Enrico Russo, Maurizio Palesi:
Multi-Objective Hardware-Mapping Co-Optimisation for Multi-Tenant DNN Accelerators. CoRR abs/2210.14657 (2022) - 2021
- [c1]Enrico Russo, Maurizio Palesi, Salvatore Monteleone
LAMBDA: An Open Framework for Deep Neural Network Accelerators Simulation. PerCom Workshops 2021: 161-166
Coauthor Index
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