Fully on-chip MAC at 14nm enabled by accurate row-wise programming of PCM-based weights and parallel vector-transport in duration-format
- P. Narayanan
- S. Ambrogio
- et al.
- 2021
- VLSI 2021
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56 results for Stefano Ambrogio
Circuit techniques for efficient acceleration of deep neural network inference with Analog-AI (Invited)
- Kohji Hosokawa
- Pritish Narayanan
- et al.
- 2021
- ISCAS 2021
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation
- Robert L. Bruce
- Syed Ghazi Sarwat
- et al.
- 2021
- IRPS 2021
Precision of synaptic weights programmed in phase-change memory devices for deep learning inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2020
- IEDM 2020
Progress in Analog DNN Hardware Accelerators using Phase Change Materials
- Charles Mackin
- Hsinyu Tsai
- et al.
- 2020
- MRS Fall Meeting 2020
Optimization of Analog Accelerators for Deep Neural Networks Inference
- Andrea Fasoli
- Stefano Ambrogio
- et al.
- 2020
- ISCAS 2020
Inference of Deep Neural Networks with Analog Memory Devices
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2020
- VLSI-TSA 2020
Accelerating Deep Neural Networks with Analog Memory Devices
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2020
- AICAS 2020
Accelerating Deep Neural Networks with Analog Memory Devices
- Katherine Spoon
- Stefano Ambrogio
- et al.
- 2020
- IMW 2020
Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges
- Charles Mackin
- Pritish Narayanan
- et al.
- 2020
- IRPS 2020