| To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration F Ottati, C Gao, Q Chen, G Brignone, MR Casu, JK Eshraghian, ... arXiv preprint arXiv:2306.15749, 2023 | 21 | 2023 |
| Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G …, 2023 | 20 | 2023 |
| NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems J Yik, KV Berghe, D Blanken, Y Bouhadjar, M Fabre, P Hueber, D Kleyko, ... arXiv preprint arXiv:2304.04640, 2023 | 13 | 2023 |
| Custom Memory Design for Logic-in-Memory: Drawbacks and Improvements over Conventional Memories F Ottati, G Masera arXiv preprint arXiv:2304.04995, 2021 | 4 | 2021 |
| Efficient Deep Learning Inference: A Digital Hardware Perspective-Evaluating and improving performance and efficiency of artificial and spiking neural networks hardware … F Ottati Politecnico di Torino, 2024 | 1 | 2024 |
| Graph Neural Network for Event-based Vision D Busacca Politecnico di Torino, 2023 | 1 | 2023 |
| SILVIA: Automated Superword-Level Parallelism Exploitation via HLS-Specific LLVM Passes for Compute-Intensive FPGA Accelerators G Brignone, R Bosio, F Ottati, C Sansoè, L Lavagno ACM Transactions on Reconfigurable Technology and Systems, 2024 | | 2024 |
| ALiAS: Analog Logic-in-Memory Arrays Synthesizer F Ottati Politecnico di Torino, 2020 | | 2020 |
Luciano LavagnoPolitecnico di TorinoBestätigte E-Mail-Adresse bei polito.it
