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
Conference paper
Publications
53 results for Pritish Narayanan
Circuit techniques for efficient acceleration of deep neural network inference with Analog-AI (Invited)
- Kohji Hosokawa
- Pritish Narayanan
- et al.
- 2021
- ISCAS 2021
Conference paperAccelerating Deep Neural Networks with Analog Memory Devices
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2020
- AICAS 2020
Conference paperInference of Deep Neural Networks with Analog Memory Devices
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2020
- VLSI-TSA 2020
Conference paperAccelerating Deep Neural Networks with Analog Memory Devices
- Katherine Spoon
- Stefano Ambrogio
- et al.
- 2020
- IMW 2020
Conference paperNeuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges
- Charles Mackin
- Pritish Narayanan
- et al.
- 2020
- IRPS 2020
Conference paperEnabling High-Performance DNN Inference Accelerators Using Non-Volatile Analog Memory (Invited)
- An Chen
- Stefano Ambrogio
- et al.
- 2020
- EDTM 2020
Conference paperReducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks
- Stefano Ambrogio
- M. Gallot
- et al.
- 2019
- IEDM 2019
Conference paperAI hardware acceleration with analog memory: Microarchitectures for low energy at high speed
- H. Y. Chang
- Geoffrey W. Burr
- et al.
- 2019
- IBM J. Res. Dev
PaperNon-filamentary non-volatile memory elements as synapses in neuromorphic systems
- Alessandro Fumarola
- Yusuf Leblebici
- et al.
- 2019
- NVMTS 2019
Conference paper