1 citations · 2 across the 4 of their papers we have counts for
4 papers
The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It
Janith Petangoda, Chatura Samarakoon, James Meech +5
Computing systems interacting with real-world processes must safely and reliably process uncertain data. The Monte Carlo method is a popular approach for computing with such uncert…
GFET Lab: A Graphene Field-Effect Transistor TCAD Tool
Nathaniel J. Tye, Abdul Wadood Tadbier, Stephan Hofmann +1
Graphene field-effect transistors (GFETs) are experimental devices which are increasingly seeing commercial and research applications. Simulation and modelling forms an important s…
Bridging the Band Gap: What Device Physicists Need to Know About Machine Learning
Nathaniel Tye, Stephan Hofmann, Phillip Stanley-Marbell
This article surveys the landscape of semiconductor materials and devices research for the acceleration of machine learning (ML) algorithms. We observe a disconnect between the sem…
A System for Generating Non-Uniform Random Variates using Graphene Field-Effect Transistors
Nathaniel Joseph Tye, James Timothy Meech, Bilgesu Arif Bilgin +1
We introduce a new method for hardware non-uniform random number generation based on the transfer characteristics of graphene field-effect transistors (GFETs) which requires as few…