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2010 – 2019
- 2019
[j1]Daniel Bankman
, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann:
An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS. IEEE J. Solid State Circuits 54(1): 158-172 (2019)- [c7]Daniel Bankman, J. Messner, Albert Gural, Boris Murmann:
RRAM-Based In-Memory Computing for Embedded Deep Neural Networks. ACSSC 2019: 1511-1515 - 2018
- [c6]Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst:
BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS. CICC 2018: 1-4 - [c5]Gage Hills, Daniel Bankman, Bert Moons, Lita Yang, Jake Hillard, Alex Kahng, Rebecca Park, Marian Verhelst, Boris Murmann, Max M. Shulaker, H.-S. Philip Wong, Subhasish Mitra:
TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs. DAC 2018: 74:1-74:10 - [c4]Lita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, Boris Murmann:
Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor. ISCAS 2018: 1-5 - [c3]Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann:
An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS. ISSCC 2018: 222-224 - [i1]Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst:
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS. CoRR abs/1804.05554 (2018) - 2016
- [c2]Daniel Bankman, Boris Murmann:
An 8-bit, 16 input, 3.2 pJ/op switched-capacitor dot product circuit in 28-nm FDSOI CMOS. A-SSCC 2016: 21-24 - 2015
- [c1]Boris Murmann, Daniel Bankman, Elaina Chai, Daisuke Miyashita, Lita Yang:
Mixed-signal circuits for embedded machine-learning applications. ACSSC 2015: 1341-1345
Coauthor Index
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