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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51 results for Pritish Narayanan
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
Deep learning with limited numerical precision
- Suyog Gupta
- Ankur Agrawal
- et al.
- 2015
- ICML 2015
Circuit-level benchmarking of access devices for resistive nonvolatile memory arrays
- Pritish Narayanan
- Geoffrey W. Burr
- et al.
- 2014
- IEDM 2014
Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element
- Geoffrey W. Burr
- Robert M. Shelby
- et al.
- 2014
- IEDM 2014
Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Comparative performance analysis (accuracy, speed, and power)
- Geoffrey W. Burr
- Pritish Narayanan
- et al.
- 2015
- IEDM 2015
Mixed-ionic-electronic-conduction (MIEC)-based access devices for 3D Multilayer Crosspoint Memory
- Kumar Virwani
- Geoffrey W. Burr
- et al.
- 2014
- MRS Fall Meeting 2014
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
- Malte J. Rasch
- Charles Mackin
- et al.
- 2023
- Nature Communications
An analog-AI chip for energy-efficient speech recognition and transcription
- S. Ambrogio
- Pritish Narayanan
- et al.
- 2023
- Nature
Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications