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S. R. Nandakumar
S. R. Nandakumar
IBM Research Zurich
Email verificata su zurich.ibm.com
Titolo
Citata da
Citata da
Anno
Neuromorphic computing with multi-memristive synapses
I Boybat, ML Gallo, SR Nandakumar, T Moraitis, T Parnell, T Tuma, ...
Nature communications, 2018
4692018
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
1892020
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
842016
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
692018
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
572018
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
512020
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
37*2020
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
332019
HERMES Core–A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing
R Khaddam-Aljameh, M Stanisavljevic, JF Mas, G Karunaratne, ...
2021 Symposium on VLSI Circuits, 1-2, 2021
282021
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
252018
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
212017
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
172019
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
152017
Bio-mimetic synaptic plasticity and learning in a sub-500 mV Cu/SiO2/W memristor
SR Nandakumar, B Rajendran
Microelectronic Engineering 226, 111290, 2020
11*2020
Precision of synaptic weights programmed in phase-change memory devices for deep learning inference
SR Nandakumar, I Boybat, JP Han, S Ambrogio, P Adusumilli, RL Bruce, ...
2020 IEEE International Electron Devices Meeting (IEDM), 29.4. 1-29.4. 4, 2020
92020
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
92019
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
92018
AnalogNets: ML-HW co-design of noise-robust TinyML models and always-on analog compute-in-memory accelerator
C Zhou, FG Redondo, J Büchel, I Boybat, XT Comas, SR Nandakumar, ...
arXiv preprint arXiv:2111.06503, 2021
72021
HERMES-Core—A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs
R Khaddam-Aljameh, M Stanisavljevic, JF Mas, G Karunaratne, M Brändli, ...
IEEE Journal of Solid-State Circuits 57 (4), 1027-1038, 2022
62022
Mushroom-type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation
RL Bruce, SG Sarwat, I Boybat, CW Cheng, W Kim, SR Nandakumar, ...
2021 IEEE International Reliability Physics Symposium (IRPS), 1-6, 2021
52021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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