activity
20162023
most citedOn the Accuracy of Analog Neural Network Inference Accelerators

72 citations · 228 across the 14 of their papers we have counts for

collaborators

16 papers

cond-mat.mes-hall2023

Parallel Matrix Multiplication Using Voltage Controlled Magnetic Anisotropy Domain Wall Logic

Nicholas Zogbi, Samuel Liu, Christopher H. Bennett +4

The domain wall-magnetic tunnel junction (DW-MTJ) is a versatile device that can simultaneously store data and perform computations. These three-terminal devices are promising for…

cond-mat.mes-hall2022★ 1 cited

Metaplastic and Energy-Efficient Biocompatible Graphene Artificial Synaptic Transistors for Enhanced Accuracy Neuromorphic Computing

Dmitry Kireev, Samuel Liu, Harrison Jin +4

CMOS-based computing systems that employ the von Neumann architecture are relatively limited when it comes to parallel data storage and processing. In contrast, the human brain is…

cs.AR2021★ 72 cited

On the Accuracy of Analog Neural Network Inference Accelerators

T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett +5

Specialized accelerators have recently garnered attention as a method to reduce the power consumption of neural network inference. A promising category of accelerators utilizes non…

cs.NE2021

High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network

Pranav O. Mathews, Christian B. Duffee, Abel Thayil +8

Neuromorphic computing systems overcome the limitations of traditional von Neumann computing architectures. These computing systems can be further improved upon by using emerging t…

cond-mat.mes-hall2021★ 19 cited

Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation

Samuel Liu, Christopher H. Bennett, Joseph S. Friedman +3

Neuromorphic computing with spintronic devices has been of interest due to the limitations of CMOS-driven von Neumann computing. Domain wall-magnetic tunnel junction (DW-MTJ) devic…

cs.NE2020★ 1 cited

Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions

Wesley H. Brigner, Naimul Hassan, Xuan Hu +7

Complementary metal oxide semiconductor (CMOS) devices display volatile characteristics, and are not well suited for analog applications such as neuromorphic computing. Spintronic…