S. R. Nandakumar
S. R. Nandakumar
Post-doctoral researcher at IBM Research Zurich
Geverifieerd e-mailadres voor njit.edu
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Neuromorphic computing with multi-memristive synapses
I Boybat, ML Gallo, SR Nandakumar, T Moraitis, T Parnell, T Tuma, ...
Nature communications, 2018
1252018
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
532016
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
252018
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
222018
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
142017
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
122017
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
72019
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
62018
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
Supervised learning in spiking neural networks with phase-change memory synapses
SR Nandakumar, I Boybat, ML Gallo, E Eleftheriou, A Sebastian, ...
arXiv preprint arXiv:1905.11929, 2019
22019
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
22018
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
12019
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
12015
Bio-mimetic synaptic plasticity and learning in a sub-500 mV Cu/SiO2/W memristor
SR Nandakumar, B Rajendran
Microelectronic Engineering, 111290, 2020
2020
Mixed-precision deep learning based on computational memory
SR Nandakumar, ML Gallo, C Piveteau, V Joshi, G Mariani, I Boybat, ...
arXiv preprint arXiv:2001.11773, 2020
2020
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
2019
High-performance learning systems using low-precision nanoscale devices
N Sasidharan Rajalekshmi
2019
Home> Scientific production and competences> STI-School of Engineering> IEL-Institute of Electrical Engineering> LSM-Microelectronic Systems Laboratory
R Ranjandish, A Schmid, E Shahrabi, Y Leblebici, S ErgŁnay, N Gong, ...
Signal 11, 25, 2018
2018
An efficient synaptic architecture for artificial neural networks
I Boybat, M Le Gallo, SR Nandakumar, T Moraitis, T Tuma, B Rajendran, ...
2017 17th Non-Volatile Memory Technology Symposium (NVMTS), 1-4, 2017
2017
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Artikelen 1–20