Accurate deep neural network inference using computational phase-change memory
- Vinay Joshi
- Manuel Le Gallo
- et al.
- 2020
- Nature Communications
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22 results for S. R. Nandakumar
Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2020
- Scientific Reports
Mixed-Precision Deep Learning Based on Computational Memory
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2020
- Frontiers in Neuroscience
Deep learning acceleration based on in-memory computing
- Evangelos Eleftheriou
- Geethan Karunaratne
- et al.
- 2019
- IBM J. Res. Dev
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
A phase-change memory model for neuromorphic computing
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2018
- Journal of Applied Physics
Neuromorphic computing with multi-memristive synapses
- 2018
- Nature Communications
Mixed-precision architecture based on computational memory for training deep neural networks
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2018
- ISCAS 2018