Daniel Bankman

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 8

Top Topics

Convolutional Neural Network

Dynamic Random Access Memory

Top Venues

Publications

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) (2019)
Daniel Bankman, J. Messner, Albert Gural, Boris Murmann
RRAM-Based In-Memory Computing for Embedded Deep Neural Networks. ACSSC (2019)
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)
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)
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)
Lita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, Boris Murmann
Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor. ISCAS (2018)
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 (2018)
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)
Boris Murmann, Daniel Bankman, Elaina Chai, Daisuke Miyashita, Lita Yang
Mixed-signal circuits for embedded machine-learning applications. ACSSC (2015)