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David Bol
Publications
- 2023
- [j42]Adrian Kneip, Martin Lefebvre, Julien Verecken, David Bol:
IMPACT: A 1-to-4b 813-TOPS/W 22-nm FD-SOI Compute-in-Memory CNN Accelerator Featuring a 4.2-POPS/W 146-TOPS/mm2 CIM-SRAM With Multi-Bit Analog Batch-Normalization. IEEE J. Solid State Circuits 58(7): 1871-1884 (2023) - [j41]Martin Lefebvre, Denis Flandre, David Bol:
A 1.1-/0.9-nA Temperature-Independent 213-/565-ppm/°C Self-Biased CMOS-Only Current Reference in 65-nm Bulk and 22-nm FDSOI. IEEE J. Solid State Circuits 58(8): 2239-2251 (2023) - [i9]Martin Lefebvre, Denis Flandre, David Bol:
A 1.1- / 0.9-nA Temperature-Independent 213- / 565-ppm/$^\circ$C Self-Biased CMOS-Only Current Reference in 65-nm Bulk and 22-nm FDSOI. CoRR abs/2302.04504 (2023) - 2022
- [j31]Martin Lefebvre, David Bol:
A Family of Current References Based on 2T Voltage References: Demonstration in 0.18-μm With 0.1-nA PTAT and 1.1-μA CWT 38-ppm/°C Designs. IEEE Trans. Circuits Syst. I Regul. Pap. 69(8): 3237-3250 (2022) - [c54]Adrian Kneip, Martin Lefebvre, Julien Verecken, David Bol:
A 1-to-4b 16.8-POPS/W 473-TOPS/mm2 6T-based In-Memory Computing SRAM in 22nm FD-SOI with Multi-Bit Analog Batch-Normalization. ESSCIRC 2022: 157-160 - [c52]Martin Lefebvre, Denis Flandre, David Bol:
A 0.9-nA Temperature-Independent 565-ppm/°C Self-Biased Current Reference in 22-nm FDSOI. ESSCIRC 2022: 469-472 - [i8]Martin Lefebvre, David Bol:
A Family of Current References Based on 2T Voltage References: Demonstration in 0.18-μm with 0.1-nA PTAT and 1.1-μA CWT 38-ppm/°C Designs. CoRR abs/2202.01751 (2022) - 2021
- [c47]Martin Lefebvre, Ludovic Moreau, Rémi Dekimpe, David Bol:
A 0.2-to-3.6TOPS/W Programmable Convolutional Imager SoC with In-Sensor Current-Domain Ternary-Weighted MAC Operations for Feature Extraction and Region-of-Interest Detection. ISSCC 2021: 118-120 - [c44]Rémi Dekimpe, Maxime Schramme, Martin Lefebvre, Adrian Kneip, Roghayeh Saeidi, Mathieu Xhonneux, Ludovic Moreau, Marco Gonzalez, Thibault Pirson, David Bol:
SleepRider: a 5.5μW/MHz Cortex-M4 MCU in 28nm FD-SOI with ULP SRAM, Biomedical AFE and Fully-Integrated Power, Clock and Back-Bias Management. VLSI Circuits 2021: 1-2 - 2019
- [j22]Charlotte Frenkel, Martin Lefebvre, Jean-Didier Legat, David Bol:
A 0.086-mm2 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS. IEEE Trans. Biomed. Circuits Syst. 13(1): 145-158 (2019) - [i2]Charlotte Frenkel, Martin Lefebvre, David Bol:
Learning without feedback: Direct random target projection as a feedback-alignment algorithm with layerwise feedforward training. CoRR abs/1909.01311 (2019)
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