Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Self-timed, Minimum Latency Circuits for the Internet of Things

Lookup NU author(s): Adrian WheeldonORCiD, Jordan Morris, Dr Danil Sokolov, Professor Alex YakovlevORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

This work presents a design flow for asynchronous, self-timed dual-rail circuits which introduces a timing assumption in the return-to-spacer phase. The design flow enables power proportionality and is demonstrated through the design of a 32-bit ripple-carry adder and a 32-bit comparator for internet of things applications. The designs are synthesized to a 65nm cell library with state-of-the-art transistor sizing for subthreshold. Simulation results show improved performance and energy per computation across operating conditions compared with single-rail equivalents. The design flow allows extension of the power proportional philosophy to a wider range of circuits.


Publication metadata

Author(s): Wheeldon A, Morris J, Sokolov D, Yakovlev A

Publication type: Article

Publication status: Published

Journal: Integration

Year: 2019

Volume: 69

Pages: 138-146

Print publication date: 01/11/2019

Online publication date: 02/04/2019

Acceptance date: 28/01/2019

Date deposited: 23/02/2019

ISSN (print): 0167-9260

ISSN (electronic): 1872-7522

Publisher: Elsevier

URL: https://doi.org/10.1016/j.vlsi.2019.01.013

DOI: 10.1016/j.vlsi.2019.01.013

Data Access Statement: https://doi.org/10.17634/154300-111


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
ARM
EPSRC

Share