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  1. Journal on Emerging Technologies in Computing Systems (JETC)
  2. ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 12
  3. Issue 2(Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies), August 2015
  4. Low-Power Heterogeneous Graphene Nanoribbon-CMOS Multistate Volatile Memory Circuit
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ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 13
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 12
Issue 4(Regular Papers), July 2016
Issue 3(Special Issue on Cross-Layer System Design and Regular Papers), September 2015
Issue 2(Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies), August 2015
Guest Editorial: Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies
A Survey on Low-Power Techniques with Emerging Technologies: From Devices to Systems
FinFET-Based Low-Swing Clocking
Dynamic Cache Pooling in 3D Multicore Processors
Low-Power Heterogeneous Graphene Nanoribbon-CMOS Multistate Volatile Memory Circuit
Spintronics: Emerging Ultra-Low-Power Circuits and Systems beyond MOS Technology
Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures
Process Variability and Electrostatic Analysis of Molecular QCA
Energy-Neutral Design Framework for Supercapacitor-Based Autonomous Wireless Sensor Networks
Issue 1, July 2015
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 11
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 10
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 9
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 8
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 7
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 6
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 5
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 4
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 3
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 2
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 1

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Heterogeneous Graphene Nanoribbon-CMOS Multi-State Volatile Random Access Memory Fabric

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Low-Power Heterogeneous Graphene Nanoribbon-CMOS Multistate Volatile Memory Circuit

Content Provider ACM Digital Library
Author Khasanvis, Santosh Habib, K M Masum Rahman, Mostafizur Lake, Roger Moritz, Csaba Andras
Copyright Year 2015
Description Author Affiliation: University of California Riverside, Riverside, CA (Habib, K M Masum; Lake, Roger); University of Massachusetts Amherst, Amherst, MA (Khasanvis, Santosh; Rahman, Mostafizur; Moritz, Csaba Andras)
Abstract Graphene is an emerging nanomaterial believed to be a potential candidate for post-Si nanoelectronics due to its exotic properties. Recently, a new graphene nanoribbon crossbar (xGNR) device was proposed which exhibits negative differential resistance (NDR). In this article, a multistate memory design is presented that can store multiple bits in a single cell enabled by this xGNR device, called graphene nanoribbon tunneling random access memory (GNTRAM). An approach to increase the number of bits per cell is explored alternative to physical scaling to overcome CMOS SRAM limitations. A comprehensive design for quaternary GNTRAM is presented as a baseline, implemented with a heterogeneous integration between graphene and CMOS. Sources of leakage and approaches to mitigate them are investigated. This design is extensively benchmarked against 16nm CMOS SRAMs and 3T DRAM. The proposed quaternary cell shows up to 2.27× density benefit versus 16nm CMOS SRAMs and 1.8× versus 3T DRAM. It has comparable read performance and is power efficient up to 1.32× during active period and 818× during standby against high-performance SRAMs. Multistate GNTRAM has the potential to realize high-density low-power nanoscale embedded memories. Further improvements may be possible by using graphene more extensively, as graphene transistors become available in the future.
Starting Page 1
Ending Page 18
Page Count 18
File Format PDF
ISSN 15504832
e-ISSN 15504840
DOI 10.1145/2700233
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 12
Issue Number 2
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-09-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword GNTRAM Low-power design Benchmarking Graphene nanoribbons Hybrid integrated circuits Memory circuit Multistate memory Negative differential resistance
Content Type Text
Resource Type Article
Subject Electrical and Electronic Engineering Hardware and Architecture Nanoscience and Nanotechnology Software
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