Geethan Karunaratne
Geethan Karunaratne
IBM Research - Zurich
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Cited by
Cited by
In-memory hyperdimensional computing
G Karunaratne, M Le Gallo, G Cherubini, L Benini, A Rahimi, A Sebastian
Nature Electronics 3 (6), 327-337, 2020
Constrained few-shot class-incremental learning
M Hersche, G Karunaratne, G Cherubini, L Benini, A Sebastian, A Rahimi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
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
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, 406, 2020
Robust high-dimensional memory-augmented neural networks
G Karunaratne, M Schmuck, M Le Gallo, G Cherubini, L Benini, ...
Nature communications 12 (1), 2468, 2021
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
M Le Gallo, R Khaddam-Aljameh, M Stanisavljevic, A Vasilopoulos, ...
Nature Electronics 6 (9), 680-693, 2023
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
4K real-time HEVC decoder on an FPGA
M Abeydeera, M Karunaratne, G Karunaratne, K De Silva, A Pasqual
IEEE Transactions on Circuits and Systems for Video Technology 26 (1), 236-249, 2015
XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks
A Al Bahou, G Karunaratne, R Andri, L Cavigelli, L Benini
2018 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), 1-3, 2018
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
Applications of computation-in-memory architectures based on memristive devices
S Hamdioui, HA Du Nguyen, M Taouil, A Sebastian, M Le Gallo, S Pande, ...
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 486-491, 2019
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
A heterogeneous in-memory computing cluster for flexible end-to-end inference of real-world deep neural networks
A Garofalo, G Ottavi, F Conti, G Karunaratne, I Boybat, L Benini, D Rossi
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 12 (2 …, 2022
Graphene-based wireless agile interconnects for massive heterogeneous multi-chip processors
S Abadal, R Guirado, H Taghvaee, A Jain, EP de Santana, PH Bolívar, ...
IEEE wireless communications 30 (4), 162-169, 2022
Chewbaccann: A flexible 223 tops/w bnn accelerator
R Andri, G Karunaratne, L Cavigelli, L Benini
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
Energy efficient in-memory hyperdimensional encoding for spatio-temporal signal processing
G Karunaratne, M Le Gallo, M Hersche, G Cherubini, L Benini, ...
IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1725-1729, 2021
In-memory realization of in-situ few-shot continual learning with a dynamically evolving explicit memory
G Karunaratne, M Hersche, J Langeneager, G Cherubini, M Le Gallo, ...
ESSCIRC 2022-IEEE 48th European Solid State Circuits Conference (ESSCIRC …, 2022
In-memory factorization of holographic perceptual representations
J Langenegger, G Karunaratne, M Hersche, L Benini, A Sebastian, ...
Nature Nanotechnology 18 (5), 479-485, 2023
Wireless on-chip communications for scalable in-memory hyperdimensional computing
R Guirado, A Rahimi, G Karunaratne, E Alarcón, A Sebastian, S Abadal
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
Generalized key-value memory to flexibly adjust redundancy in memory-augmented networks
D Kleyko, G Karunaratne, JM Rabaey, A Sebastian, A Rahimi
IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10993-10998, 2022
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