Παρακολούθηση
Jonas Doevenspeck
Jonas Doevenspeck
imec
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα imec.be
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Παρατίθεται από
Παρατίθεται από
Έτος
Towards 10000TOPS/W DNN inference with analog in-memory computing–a circuit blueprint, device options and requirements
S Cosemans, B Verhoef, J Doevenspeck, IA Papistas, F Catthoor, ...
2019 IEEE International Electron Devices Meeting (IEDM), 22.2. 1-22.2. 4, 2019
632019
SOT-MRAM based analog in-memory computing for DNN inference
J Doevenspeck, K Garello, B Verhoef, R Degraeve, S Van Beek, D Crotti, ...
2020 IEEE Symposium on VLSI Technology, 1-2, 2020
582020
Diana: An end-to-end energy-efficient digital and analog hybrid neural network soc
K Ueyoshi, IA Papistas, P Houshmand, GM Sarda, V Jain, M Shi, Q Zheng, ...
2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 1-3, 2022
472022
A 22 nm, 1540 TOP/s/W, 12.1 TOP/s/mm2 in-Memory Analog Matrix-Vector-Multiplier for DNN Acceleration
IA Papistas, S Cosemans, B Rooseleer, J Doevenspeck, MH Na, A Mallik, ...
2021 IEEE Custom Integrated Circuits Conference (CICC), 1-2, 2021
362021
Chain of magnetic tunnel junctions as a spintronic memristor
E Raymenants, A Vaysset, D Wan, M Manfrini, O Zografos, O Bultynck, ...
Journal of Applied Physics 124 (15), 2018
212018
Multi-pillar SOT-MRAM for accurate analog in-memory DNN inference
J Doevenspeck, K Garello, S Rao, F Yasin, S Couet, G Jayakumar, ...
2021 Symposium on VLSI Technology, 1-2, 2021
182021
IGZO-based compute cell for analog in-memory computing—DTCO analysis to enable ultralow-power AI at edge
D Saito, J Doevenspeck, S Cosemans, H Oh, M Perumkunnil, IA Papistas, ...
IEEE Transactions on Electron Devices 67 (11), 4616-4620, 2020
142020
OxRRAM-based analog in-memory computing for deep neural network inference: A conductance variability study
J Doevenspeck, R Degraeve, A Fantini, S Cosemans, A Mallik, ...
IEEE Transactions on Electron Devices 68 (5), 2301-2305, 2021
92021
Temporal sequence learning with a history-sensitive probabilistic learning rule intrinsic to oxygen vacancy-based RRAM
J Doevenspeck, R Degraeve, A Fantini, P Debacker, D Verkest, ...
2018 IEEE International Electron Devices Meeting (IEDM), 20.5. 1-20.5. 4, 2018
72018
Dynamic quantization range control for analog-in-memory neural networks acceleration
N Laubeuf, J Doevenspeck, IA Papistas, M Caselli, S Cosemans, ...
ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (5 …, 2022
52022
Analytic variability study of inference accuracy in RRAM arrays with a binary tree winner-take-all circuit for neuromorphic applications
J Doevenspeck, R Degraeve, S Cosemans, P Roussel, BE Verhoef, ...
2018 48th European Solid-State Device Research Conference (ESSDERC), 62-65, 2018
52018
Design and simulation of plasmonic interference-based majority gate
J Doevenspeck, O Zografos, S Gurunarayanan, R Lauwereins, ...
AIP Advances 7 (6), 2017
52017
Neural network learning using non-ideal resistive memory devices
Y Kim, T Gokmen, H Miyazoe, P Solomon, S Kim, A Ray, J Doevenspeck, ...
Frontiers in Nanotechnology 4, 1008266, 2022
42022
Noise tolerant ternary weight deep neural networks for analog in-memory inference
J Doevenspeck, P Vrancx, N Laubeuf, A Mallik, P Debacker, D Verkest, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
42021
Opportunities and challenges of resistive RAM for neuromorphic applications
R Degraeve, A Mallik, D Garbin, J Doevenspeck, A Fantini, D Rodopoulos, ...
2018 IEEE International Symposium on the Physical and Failure Analysis of …, 2018
32018
Low voltage transient RESET kinetic modeling of OxRRAM for neuromorphic applications
J Doevenspeck, R Degraeve, A Fantini, P Debacker, D Verkest, ...
2019 IEEE International Reliability Physics Symposium (IRPS), 1-6, 2019
22019
In-memory neural network computing with resistive memories
J Doevenspeck
KU Leuven, 2021
12021
Novel memory devices tailored to analog in-memory computing for neural network inference
S Cosemans, J Doevenspeck, B Verhoef, I Papistas, N Laubeuf, ...
12020
Modeling and demonstration of oxygen vacancy-based RRAM as probabilistic device for sequence learning
J Doevenspeck, R Degraeve, A Fantini, P Debacker, D Verkest, ...
IEEE Transactions on Electron Devices 67 (2), 505-511, 2019
12019
Gait identification using stochastic OXRRAM-based time sequence machine learning
R Degraeve, J Doevenspeck, A Fantini, P Debacker, D Linten, D Verkest
2019 Symposium on VLSI Technology, T84-T85, 2019
12019
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