Davide Patti
Università degli Studi di Catania
H-index: 16
Europe-Italy
Top articles of Davide Patti
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning | arXiv preprint arXiv:2403.00766 | Enrico Russo Francesco Giulio Blanco Maurizio Palesi Giuseppe Ascia Davide Patti | 2024/2/9 |
Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems | arXiv preprint arXiv:2404.08950 | Francesco G Blanco Enrico Russo Maurizio Palesi Davide Patti Giuseppe Ascia | 2024/4/13 |
A survey on deep learning hardware accelerators for heterogeneous hpc platforms | arXiv preprint arXiv:2306.15552 | Cristina Silvano Daniele Ielmini Fabrizio Ferrandi Leandro Fiorin Serena Curzel | 2023/6/27 |
m-BMC: Exploration of Magnetic Field Measurements for Indoor Positioning Using mini-Batch Magnetometer Calibration | Hamaad Rafique Davide Patti Maurizio Palesi Vincenzo Catania | 2023/5/17 | |
Memory-Aware DNN Algorithm-Hardware Mapping via Integer Linear Programming | Enrico Russo Maurizio Palesi Giuseppe Ascia Davide Patti Salvatore Monteleone | 2023/5/9 | |
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 | 2022/8/15 | |
Exploiting the Approximate Computing Paradigm with DNN Hardware Accelerators | Enrico Russo Maurizio Palesi Salvatore Monteleone Davide Patti Habiba Lahdhiri | 2022/6/7 | |
Combined application of approximate computing techniques in DNN hardware accelerators | Enrico Russo Maurizio Palesi Davide Patti Habiba Lahdhiri Salvatore Monteleone | 2022/5/30 | |
MEDEA: A multi-objective evolutionary approach to DNN hardware mapping | Enrico Russo Maurizio Palesi Salvatore Monteleone Davide Patti Giuseppe Ascia | 2022/3/14 | |
Multiobjective End-to-End Design Space Exploration of Parameterized DNN Accelerators | IEEE Internet of Things Journal | Enrico Russo Maurizio Palesi Davide Patti Salvatore Monteleone Giuseppe Ascia | 2022/9/26 |
DNN model compression for IoT domain-specific hardware accelerators | IEEE Internet of Things Journal | Enrico Russo Maurizio Palesi Salvatore Monteleone Davide Patti Andrea Mineo | 2021/9/10 |
LAMBDA: An open framework for deep neural network accelerators simulation | Enrico Russo Maurizio Palesi Salvatore Monteleone Davide Patti Giuseppe Ascia | 2021/3/22 | |
Exploiting data resilience in wireless network-on-chip architectures | ACM Journal on Emerging Technologies in Computing Systems (JETC) | Giuseppe Ascia Vincenzo Catania Salvatore Monteleone Maurizio Palesi Davide Patti | 2020/4/4 |
Improving inference latency and energy of DNNs through wireless enabled multi-chip-module-based architectures and model parameters compression | Giuseppe Ascia Vincenzo Catania Andrea Mineo Salvatore Monteleone Maurizio Palesi | 2020/9/24 | |
Implementing on-chip wireless communication in multi-stage interconnection NoCs | Sirine Mnejja Yassine Aydi Mohamed Abid Salvatore Monteleone Maurizio Palesi | 2020/3/28 | |
Cloud-Based Energy Efficient Scheme for Sigfox Monarch as Asset Tracking Service | Andrea Mineo Maurizio Palesi Davide Patti Vincenzo Catania | 2020/8/31 | |
Impact of Users’ Beliefs in Text-Based Linguistic Interaction | IEEE Access | Vincenzo Catania Salvatore Monteleone Maurizio Palesi Davide Patti | 2020/3/6 |
Dnnzip: Selective layers compression technique in deep neural network accelerators | Habiba Lahdhiri Maurizio Palesi Salvatore Monteleone Davide Patti Giuseppe Ascia | 2020/8/26 | |
Delta multi-stage interconnection networks for scalable wireless on-chip communication | Electronics | Sirine Mnejja Yassine Aydi Mohamed Abid Salvatore Monteleone Vincenzo Catania | 2020/5/30 |
Improving inference latency and energy of network-on-chip based convolutional neural networks through weights compression | Giuseppe Ascia Vincenzo Catania John Jose Salvatore Monteleone Maurizio Palesi | 2020/5/18 |
Co-Authors
