Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... arXiv preprint arXiv:2304.04640, 2023 | 12 | 2023 |
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 | 10 | 2023 |
Custom Memory Design for Logic-in-Memory: Drawbacks and Improvements over Conventional Memories F Ottati, G Masera arXiv preprint arXiv:2304.04995, 2021 | 3 | 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 | | 2024 |
Graph Neural Network for Event-based Vision D Busacca Politecnico di Torino, 2023 | | 2023 |
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems J Yik, YH Liu, SH Ahmed, JC Knight, S Schmidgall, J Seo, V Karia, ... Neuromorphic Software Eco System, 2023 | | 2023 |
ALiAS: Analog Logic-in-Memory Arrays Synthesizer F Ottati Politecnico di Torino, 2020 | | 2020 |