Daniel Bankman - researchr alias

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Viewing Publication 1 - 7 from 7

2019

RRAM-Based In-Memory Computing for Embedded Deep Neural NetworksDaniel Bankman, J. Messner, Albert Gural, Boris Murmann. acssc 2019: 1511-1515 [doi]

An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOSDaniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann. jssc, 54(1):158-172, 2019. [doi]

2018

An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOSDaniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann. isscc 2018: 222-224 [doi]

TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETsGage 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. dac 2018: [doi]

BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOSBert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst. cicc 2018: 1-4 [doi]

Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network ProcessorLita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, Boris Murmann. iscas 2018: 1-5 [doi]

2016

An 8-bit, 16 input, 3.2 pJ/op switched-capacitor dot product circuit in 28-nm FDSOI CMOSDaniel Bankman, Boris Murmann. asscc 2016: 21-24 [doi]

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