Daniel Bankman

According to our database, Daniel Bankman authored at least 8 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS.

Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann

IEEE J. Solid State Circuits, 2019

RRAM-Based In-Memory Computing for Embedded Deep Neural Networks.

Daniel Bankman, J. Messner, Albert Gural, Boris Murmann

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS.

Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann

Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor.

Lita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, Boris Murmann

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs.

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

Proceedings of the 55th Annual Design Automation Conference, 2018

BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS.

Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst

Proceedings of the 2018 IEEE Custom Integrated Circuits Conference, 2018

2016

An 8-bit, 16 input, 3.2 pJ/op switched-capacitor dot product circuit in 28-nm FDSOI CMOS.

Daniel Bankman, Boris Murmann

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2016

2015

Mixed-signal circuits for embedded machine-learning applications.

Boris Murmann, Daniel Bankman, Elaina Chai, Daisuke Miyashita, Lita Yang

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015