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
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22 results for S. R. Nandakumar
Phase-change memory models for deep learning training and inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2019
- ICECS 2019
Computational memory-based inference and training of deep neural networks
- Abu Sebastian
- Irem Boybat
- et al.
- 2019
- VLSI Circuits 2019
Impact of conductance drift on multi-PCM synaptic architectures
- Irem Boybat
- S. R. Nandakumar
- et al.
- 2018
- NVMTS 2018
Mixed-precision architecture based on computational memory for training deep neural networks
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2018
- ISCAS 2018
An efficient synaptic architecture for artificial neural networks
- 2017
- NVMTS 2017
Supervised learning in spiking neural networks with MLC PCM synapses
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2017
- DRC 2017
Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars
- Manuel Le Gallo
- S.R. Nandakumar
- et al.
- 2022
- Neuromorph. Comput. Eng.
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator
- Chuteng Zhou
- Fernando Garcia Redondo
- et al.
- 2021
- IEEE Micro
Mixed-Precision Deep Learning Based on Computational Memory
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2020
- Frontiers in Neuroscience