E-LIB Suche - Ergebnisse für: Nandakumar, S. R.

1

Hardware-aware training for large-scale and diverse deep le..:

Rasch, Malte J. ; Mackin, Charles ; Le Gallo, Manuel...
Nature Communications. 14 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

2

Optimised weight programming for analogue memory-based deep..:

Mackin, Charles ; Rasch, Malte J. ; Chen, An...
Nature Communications. 13 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

3

Precision of bit slicing with in-memory computing based on ..:

Le Gallo, Manuel ; Nandakumar, S R ; Ciric, Lazar...
Neuromorphic Computing and Engineering. 2 (2022) 1 - p. 014009 , 2022

Link: https://doi.org/10.1088/..

4

HERMES-Core—A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Com..:

Khaddam-Aljameh, Riduan ; Stanisavljevic, Milos ; Fornt Mas, Jordi...
IEEE Journal of Solid-State Circuits. 57 (2022) 4 - p. 1027-1038 , 2022

Link: https://doi.org/10.1109/..

5

ML-HW Co-Design of Noise-Robust TinyML Models and Always-On..:

Zhou, Chuteng ; Redondo, Fernando Garcia ; Buchel, Julian...
IEEE Micro. 42 (2022) 6 - p. 76-87 , 2022

Link: https://doi.org/10.1109/..

6

Mushroom-Type phase change memory with projection liner: An..:

, In: 2021 IEEE International Reliability Physics Symposium (IRPS),

Bruce, R.L. ; Sarwat, S. Ghazi ; Boybat, I.... - p. 1-6 , 2021

Link: https://doi.org/10.1109/..

7

Bio-mimetic synaptic plasticity and learning in a sub-500 m..:

Nandakumar, S.R. ; Rajendran, Bipin
Microelectronic Engineering. 226 (2020) - p. 111290 , 2020

Link: https://doi.org/10.1016/..

8

Experimental Demonstration of Supervised Learning in Spikin..:

Nandakumar, S. R. ; Boybat, Irem ; Le Gallo, Manuel...
Scientific Reports. 10 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

9

Mixed-Precision Deep Learning Based on Computational Memory:

Nandakumar, S. R. ; Le Gallo, Manuel ; Piveteau, Christophe...
Frontiers in Neuroscience. 14 (2020) - p. , 2020

Link: https://doi.org/10.3389/..

10

Accurate deep neural network inference using computational ..:

Joshi, Vinay ; Le Gallo, Manuel ; Haefeli, Simon...
Nature Communications. 11 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

11

Phase-Change Memory Models for Deep Learning Training and I..:

, In: 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS),

Nandakumar, S. R. ; Boybat, Irem ; Joshi, Vinay... - p. 727-730 , 2019

Link: https://doi.org/10.1109/..

12

Building Brain-Inspired Computing Systems: Examining the Ro..:

Nandakumar, S.R. ; Kulkarni, Shruti R. ; Babu, Anakha V..
IEEE Nanotechnology Magazine. 12 (2018) 3 - p. 19-35 , 2018

Link: https://doi.org/10.1109/..

13

A phase-change memory model for neuromorphic computing:

Nandakumar, S. R. ; Le Gallo, Manuel ; Boybat, Irem...
Journal of Applied Physics. 124 (2018) 15 - p. , 2018

Link: https://doi.org/10.1063/..

14

Neuromorphic computing with multi-memristive synapses:

Boybat, Irem ; Le Gallo, Manuel ; Nandakumar, S. R....
Nature Communications. 9 (2018) 1 - p. , 2018

Link: https://doi.org/10.1038/..

15

(Invited) Synaptic Plasticity in a Memristive Device below ..:

Nandakumar, S R ; Rajendran, Bipin
ECS Transactions. 77 (2017) 2 - p. 31-37 , 2017

Link: https://doi.org/10.1149/..