A Compact 8-Bit Adder Design Using In-Memory Memristive Computing: Towards Solving The Feynman Grand Prize Challenge
Abstract
We introduce a new compact in-memory computing design for implementing 8-bit addition using eight vertically-stacked nanoscale crossbars of one-diode one-memristor 1D1M switches. Each crossbar in our design only has 5 rows and 4 columns. Hence, the design may be used to fabricate a compact 8-bit adder that meets the size constraint of 50nm χ 50nm χ 50nm imposed by the electrical component of the Feynman Grand Prize. The potential availability of sub-5nm nanoscale memristors and single-molecule diode devices coupled with the ability to fabricate high-density nanoscale memristor crossbars suggests that our design may eventually be fabricated to meet the size constraints of the Feynman Grand Prize.
Publication Date
9-28-2017
Publication Title
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2017
Number of Pages
67-72
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/NANOARCH.2017.8053712
Copyright Status
Unknown
Socpus ID
85034763040 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85034763040
STARS Citation
Chakraborty, Dwaipayan; Raj, Sunny; and Jha, Sumit Kumar, "A Compact 8-Bit Adder Design Using In-Memory Memristive Computing: Towards Solving The Feynman Grand Prize Challenge" (2017). Scopus Export 2015-2019. 7495.
https://stars.library.ucf.edu/scopus2015/7495