S. R. Nandakumar
S. R. Nandakumar
IBM Research Zurich
Verified email at zurich.ibm.com
Title
Cited by
Cited by
Year
Neuromorphic computing with multi-memristive synapses
I Boybat, ML Gallo, SR Nandakumar, T Moraitis, T Parnell, T Tuma, ...
Nature communications, 2018
1822018
A 250 mV Cu/SiO2/W Memristor with Half-Integer Quantum Conductance States
SR Nandakumar, M Minvielle, S Nagar, C Dubourdieu, B Rajendran
Nano letters 16 (3), 1602-1608, 2016
582016
Mixed-precision architecture based on computational memory for training deep neural networks
SR Nandakumar, M Le Gallo, I Boybat, B Rajendran, A Sebastian, ...
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
382018
A phase-change memory model for neuromorphic computing
SR Nandakumar, M Le Gallo, I Boybat, B Rajendran, A Sebastian, ...
Journal of Applied Physics 124 (15), 152135, 2018
332018
Mixed-precision training of deep neural networks using computational memory
SR Nandakumar, M Le Gallo, I Boybat, B Rajendran, A Sebastian, ...
arXiv preprint arXiv:1712.01192, 2017
172017
Computational memory-based inference and training of deep neural networks
A Sebastian, I Boybat, M Dazzi, I Giannopoulos, V Jonnalagadda, V Joshi, ...
2019 Symposium on VLSI Technology, T168-T169, 2019
152019
Accurate deep neural network inference using computational phase-change memory
V Joshi, M Le Gallo, S Haefeli, I Boybat, SR Nandakumar, C Piveteau, ...
Nature Communications 11 (1), 1-13, 2020
142020
Supervised learning in spiking neural networks with MLC PCM synapses
SR Nandakumar, I Boybat, M Le Gallo, A Sebastian, B Rajendran, ...
2017 75th Annual Device Research Conference (DRC), 1-2, 2017
142017
Building brain-inspired computing systems: Examining the role of nanoscale devices
SR Nandakumar, SR Kulkarni, AV Babu, B Rajendran
IEEE Nanotechnology Magazine 12 (3), 19-35, 2018
122018
Impact of conductance drift on multi-PCM synaptic architectures
I Boybat, SR Nandakumar, M Le Gallo, B Rajendran, Y Leblebici, ...
2018 Non-Volatile Memory Technology Symposium (NVMTS), 1-4, 2018
72018
Experimental demonstration of supervised learning in spiking neural networks with phase-change memory synapses
SR Nandakumar, I Boybat, M Le Gallo, E Eleftheriou, A Sebastian, ...
Scientific reports 10 (1), 1-11, 2020
5*2020
Mixed-Precision Deep Learning Based on Computational Memory
SR Nandakumar, M Le Gallo, C Piveteau, V Joshi, G Mariani, I Boybat, ...
Frontiers in Neuroscience 14, 2020
52020
Deep learning acceleration based on in-memory computing
E Eleftheriou, M Le Gallo, SR Nandakumar, C Piveteau, I Boybat, V Joshi, ...
IBM Journal of Research and Development 63 (6), 7: 1-7: 16, 2019
52019
Phase-change memory models for deep learning training and inference
SR Nandakumar, I Boybat, V Joshi, C Piveteau, M Le Gallo, B Rajendran, ...
2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019
32019
Synaptic plasticity in a memristive device below 500mv
SR Nandakumar, B Rajendran
ECS Transactions 77 (2), 31, 2017
32017
Physics-based switching model for Cu/SiO2/W quantum memristor
SR Nandakumar, B Rajendran
2016 74th Annual Device Research Conference (DRC), 1-2, 2016
32016
Live demonstration: Spiking neural circuit based navigation inspired by c. elegans thermotaxis
C Shetty, S Nitchith, R Rawat, SR Nandakumar, P Shah, S Kulkarni, ...
2015 IEEE International Symposium on Circuits and Systems (ISCAS), 1905-1905, 2015
22015
Verilog-A compact model for a novel Cu/SiO2/W quantum memristor
SR Nandakumar, B Rajendran
2016 International Conference on Simulation of Semiconductor Processes and …, 2016
12016
Mixed-precision deep-learning with multi-memristive devices
IB Kara, M Le Gallo-Bourdeau, NS Rajalekshmi, A Sebastian, ...
US Patent App. 16/243,477, 2020
2020
Bio-mimetic synaptic plasticity and learning in a sub-500 mV Cu/SiO2/W memristor
SR Nandakumar, B Rajendran
Microelectronic Engineering, 111290, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–20