| DNN model compression for IoT domain-specific hardware accelerators E Russo, M Palesi, S Monteleone, D Patti, A Mineo, G Ascia, V Catania IEEE Internet of Things Journal 9 (9), 6650-6662, 2021 | 30 | 2021 |
| MEDEA: A multi-objective evolutionary approach to DNN hardware mapping E Russo, M Palesi, S Monteleone, D Patti, G Ascia, V Catania 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 226-231, 2022 | 13 | 2022 |
| LAMBDA: An open framework for deep neural network accelerators simulation E Russo, M Palesi, S Monteleone, D Patti, G Ascia, V Catania 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 10 | 2021 |
| Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-based Accelerators A Das, E Russo, M Palesi IEEE Transactions on Computers, 2024 | 7 | 2024 |
| Multiobjective End-to-End Design Space Exploration of Parameterized DNN Accelerators E Russo, M Palesi, D Patti, S Monteleone, G Ascia, V Catania IEEE Internet of Things Journal 10 (2), 1800-1812, 2022 | 7 | 2022 |
| Improving LSTM-based Indoor Positioning via Simulation-Augmented Geomagnetic Field Dataset E Vinciguerra, E Russo, M Palesi, G Ascia, H Rafique 2024 IEEE International Conference on Mobility, Operations, Services and …, 2024 | 4 | 2024 |
| Wireless enabled Inter-Chiplet Communication in DNN Hardware Accelerators M Palesi, E Russo, A Das, J Jose 2023 IEEE International Parallel and Distributed Processing Symposium …, 2023 | 3 | 2023 |
| Combined Application of Approximate Computing Techniques in DNN Hardware Accelerators E Russo, M Palesi, D Patti, H Lahdhiri, S Monteleone, G Ascia, V Catania 2022 IEEE International Parallel and Distributed Processing Symposium …, 2022 | 3 | 2022 |
| A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures F Ferrandi, S Curzel, L Fiorin, D Ielmini, C Silvano, F Conti, A Burrello, ... arXiv preprint arXiv:2311.17815, 2023 | 2 | 2023 |
| Impact Analysis of Communication Overhead in NoC based DNN Hardware Accelerators K Neethu, E Russo, RG Kunthara, RK James, J Jose 2022 IEEE 19th India Council International Conference (INDICON), 1-6, 2022 | 2 | 2022 |
| Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning E Russo, FG Blanco, M Palesi, G Ascia, D Patti, V Catania 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2024 | 1 | 2024 |
| A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems FG Blanco, E Russo, M Palesi, D Patti, G Ascia, V Catania Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 1 | 2024 |
| Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures E Russo, M Palesi, D Patti, G Ascia, V Catania arXiv preprint arXiv:2406.11452, 2024 | 1 | 2024 |
| The position-based compression techniques for DNN model M Tang, E Russo, M Palesi The Journal of Supercomputing 79 (15), 17445-17474, 2023 | 1 | 2023 |
| Memory-Aware DNN Algorithm-Hardware Mapping via Integer Linear Programming E Russo, M Palesi, G Ascia, D Patti, S Monteleone, V Catania Proceedings of the 20th ACM International Conference on Computing Frontiers …, 2023 | 1 | 2023 |
| Exploiting the Approximate Computing Paradigm with DNN Hardware Accelerators E Russo, M Palesi, S Monteleone, D Patti, H Lahdhiri, G Ascia, V Catania 2022 11th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2022 | 1 | 2022 |
| Data-Driven Simulation Based Fault Detection in Automotive RISC-V Applications E Vinciguerra, E Russo, M Palesi, G Ascia 2024 IEEE 17th International Symposium on Embedded Multicore/Many-core …, 2024 | | 2024 |
| Assessing the Role of Communication in Scalable Multi-Core Quantum Architectures M Palesi, E Russo, D Patti, G Ascia, V Catania 2024 IEEE 17th International Symposium on Embedded Multicore/Many-core …, 2024 | | 2024 |
| A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference P Puigdemont, E Russo, A Wassington, A Das, S Abadal, M Palesi arXiv preprint arXiv:2411.16342, 2024 | | 2024 |
| DNN Hardware Accelerator Selection for Feasible Deployment of MARL-Based MAC Protocols in Industrial IoT Networks E Russo, E Vinciguerra, G Ascia, D Panno 2024 IEEE 8th Forum on Research and Technologies for Society and Industry …, 2024 | | 2024 |
