Suivre
David Bol
Titre
Citée par
Citée par
Année
A 0.086-mm 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS
C Frenkel, M Lefebvre, JD Legat, D Bol
IEEE transactions on biomedical circuits and systems 13 (1), 145-158, 2018
3462018
Interests and limitations of technology scaling for subthreshold logic
D Bol, R Ambroise, D Flandre, JD Legat
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 17 (10 …, 2009
2112009
SleepWalker: A 25-MHz 0.4-V Sub-mm² 7µW/MHz Microcontroller in 65-nm LP/GP CMOS for Low-Carbon Wireless Sensor Nodes
D Bol, J De Vos, C Hocquet, F Botman, F Durvaux, S Boyd, D Flandre, ...
IEEE Journal of Solid-State Circuits 48 (1), 20-32, 2013
180*2013
MorphIC: A 65-nm 738k-Synapse/mm Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning
C Frenkel, JD Legat, D Bol
IEEE transactions on biomedical circuits and systems 13 (5), 999-1010, 2019
1352019
Towards green cryptography: a comparison of lightweight ciphers from the energy viewpoint
S Kerckhof, F Durvaux, C Hocquet, D Bol, FX Standaert
Cryptographic Hardware and Embedded Systems–CHES 2012: 14th International …, 2012
1302012
Green SoCs for a sustainable Internet-of-Things
D Bol, J De Vos, F Botman, G de Streel, S Bernard, D Flandre, JD Legat
2013 IEEE Faible Tension Faible Consommation, 1-4, 2013
682013
SleepTalker: A ULV 802.15. 4a IR-UWB transmitter SoC in 28-nm FDSOI achieving 14 pJ/b at 27 Mb/s with channel selection based on adaptive FBB and digitally programmable pulse …
G de Streel, F Stas, T Gurne, F Durant, C Frenkel, A Cathelin, D Bol
IEEE Journal of Solid-State Circuits 52 (4), 1163-1177, 2017
672017
Analysis and minimization of practical energy in 45nm subthreshold logic circuits
D Bol, R Ambroise, D Flandre, JD Legat
2008 IEEE International Conference on Computer Design, 294-300, 2008
672008
Technology flavor selection and adaptive techniques for timing-constrained 45nm subthreshold circuits
D Bol, D Flandre, JD Legat
Proceedings of the 2009 ACM/IEEE international symposium on Low power …, 2009
632009
Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks
C Frenkel, M Lefebvre, D Bol
Frontiers in neuroscience 15, 629892, 2021
602021
Assessing the embodied carbon footprint of IoT edge devices with a bottom-up life-cycle approach
T Pirson, D Bol
Journal of Cleaner Production 322, 128966, 2021
572021
A 25MHz 7μW/MHz ultra-low-voltage microcontroller SoC in 65nm LP/GP CMOS for low-carbon wireless sensor nodes
D Bol, J De Vos, C Hocquet, F Botman, F Durvaux, S Boyd, D Flandre, ...
2012 IEEE International Solid-State Circuits Conference, 490-492, 2012
562012
Nanometer MOSFET effects on the minimum-energy point of 45nm subthreshold logic
D Bol, D Kamel, D Flandre, JD Legat
Proceedings of the 2009 ACM/IEEE international symposium on Low power …, 2009
552009
Analysis, modeling, and design of a 2.45-GHz RF energy harvester for SWIPT IoT smart sensors
P Xu, D Flandre, D Bol
IEEE Journal of Solid-State Circuits 54 (10), 2717-2729, 2019
542019
8.4 a 0.33 v/-40 c process/temperature closed-loop compensation soc embedding all-digital clock multiplier and dc-dc converter exploiting fdsoi 28nm back-gate biasing
S Clerc, M Saligane, F Abouzeid, M Cochet, JM Daveau, C Bottoni, D Bol, ...
2015 IEEE International Solid-State Circuits Conference-(ISSCC) Digest of …, 2015
532015
Robust and energy-efficient ultra-low-voltage circuit design under timing constraints in 65/45 nm CMOS
D Bol
Journal of Low Power Electronics and Applications 1 (1), 1-19, 2011
512011
Bottom-up and top-down neural processing systems design: Neuromorphic intelligence as the convergence of natural and artificial intelligence
CP Frenkel, D Bol, G Indiveri
arXiv. org, 2021
492021
Can we connect trillions of IoT sensors in a sustainable way? A technology/circuit perspective
D Bol, G De Streel, D Flandre
2015 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference …, 2015
462015
A 28-nm convolutional neuromorphic processor enabling online learning with spike-based retinas
C Frenkel, JD Legat, D Bol
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
442020
A capacitance-to-frequency converter with on-chip passivated microelectrodes for bacteria detection in saline buffers up to 575 MHz
N Couniot, D Bol, O Poncelet, LA Francis, D Flandre
IEEE Transactions on Circuits and Systems II: Express Briefs 62 (2), 159-163, 2014
432014
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20