Equivalent-accuracy accelerated neural-network training using analogue memory
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2018
- Nature
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51 results for Pritish Narayanan
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- Atsuya Okazaki
- Pritish Narayanan
- et al.
- 2022
- ISCAS 2022
Circuit techniques for efficient acceleration of deep neural network inference with Analog-AI (Invited)
- Kohji Hosokawa
- Pritish Narayanan
- et al.
- 2021
- ISCAS 2021
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
Enabling High-Performance DNN Inference Accelerators Using Non-Volatile Analog Memory (Invited)
- An Chen
- Stefano Ambrogio
- et al.
- 2020
- EDTM 2020
Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges
- Charles Mackin
- Pritish Narayanan
- et al.
- 2020
- IRPS 2020
Non-filamentary non-volatile memory elements as synapses in neuromorphic systems
- Alessandro Fumarola
- Yusuf Leblebici
- et al.
- 2019
- NVMTS 2019
Neuro-inspired computing: From resistive memory to optics
- Charles Mackin
- Pritish Narayanan
- et al.
- 2019
- CLEO/Europe-EQEC 2019