Inference of Deep Neural Networks with Analog Memory Devices
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2020
- VLSI-TSA 2020
Publications
Date
Featured collections
Popular topics
51 results for Pritish Narayanan
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
Reducing 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
AI 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
Non-filamentary non-volatile memory elements as synapses in neuromorphic systems
- Alessandro Fumarola
- Yusuf Leblebici
- et al.
- 2019
- NVMTS 2019
Analog-to-Digital Conversion with Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration
- Massimo Giordano
- Giorgio Cristiano
- et al.
- 2019
- IEEE JESTCS
Inference of Long-Short Term Memory networks at software-equivalent accuracy using 2.5M analog Phase Change Memory devices
- Hsinyu Tsai
- Stefano Ambrogio
- et al.
- 2019
- VLSI Technology 2019