Flow-Based Computing On Nanoscale Crossbars: Design And Implementation Of Full Adders
Keywords
Adders; Crossbars; Digital Computing; Memristor; Nanoscale Devices; Nanowires; Sneak Paths
Abstract
We present the design and implementation of a full adder circuit that exploits the natural flow of current through nanowires and More-than-Moore nano-devices in two dimensional crossbars. We evaluate the speed and energy efficiency of our design and compare it to equivalent one-bit adder designs using CMOS and nanoscale memristors. Our memristive full adder circuit has been shown to be an order of magnitude faster and more energy-efficient than equivalent CMOS designs. Our circuit is an order of magnitude more compact that equivalent CMOS designs. We also argue that our design occupies less area and is faster than competing memristor designs.
Publication Date
7-29-2016
Publication Title
Proceedings - IEEE International Symposium on Circuits and Systems
Volume
2016-July
Number of Pages
1870-1873
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ISCAS.2016.7538936
Copyright Status
Unknown
Socpus ID
84983459476 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84983459476
STARS Citation
Alamgir, Zahiruddin; Beckmann, Karsten; Cady, Nathaniel; Velasquez, Alvaro; and Jha, Sumit Kumar, "Flow-Based Computing On Nanoscale Crossbars: Design And Implementation Of Full Adders" (2016). Scopus Export 2015-2019. 4314.
https://stars.library.ucf.edu/scopus2015/4314