Analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices

Hybrid integration of CMOS and nonvolatile memory (NVM) devices has become the foundation for emerging nonvolatile memory-based computing. The primary challenge to validate hybrid memory system with both CMOS and NVM devices is to develop a SPICE-like simulator that can simulate the dynamic behavior...

Full description

Saved in:
Bibliographic Details
Main Authors: Shang, Yang, Fei, Wei, Yu, Hao
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2012
Subjects:
Online Access:https://hdl.handle.net/10356/95525
http://hdl.handle.net/10220/8762
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-95525
record_format dspace
spelling sg-ntu-dr.10356-955252020-03-07T14:02:43Z Analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices Shang, Yang Fei, Wei Yu, Hao School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Hybrid integration of CMOS and nonvolatile memory (NVM) devices has become the foundation for emerging nonvolatile memory-based computing. The primary challenge to validate hybrid memory system with both CMOS and NVM devices is to develop a SPICE-like simulator that can simulate the dynamic behavior accurately and efficiently. Since memristor, spin-transfer-toque magnetic-tunneling-junction (STT-MTJ) and phase-change-memory (PCM) devices are the most promising candidates of next generation of NVM devices, it is under great interest in including these new devices in the standard CMOS design flow. The previous approaches either ignore dynamic effect without consideration of internal states for dynamic behavior, or need complex equivalent circuits to represent those devices. This paper proposes a new modified nodal analysis for NVM devices with identified internal state variables for dynamic behavior. As such, compact SPICE-like implementation can be derived for all three new NVM devices in the design of large-scale memory circuits. As demonstrated by a number of examples on hybrid memory circuits with both CMOS and NVM devices, our newly developed SPICE-like simulator can capture dynamic behaviors of memristor, STT-MTJ and PCM devices, and can also reduce CPU runtime by 20-69 times when compared to the previous equivalent circuit based approaches. Accepted version 2012-10-11T06:33:55Z 2019-12-06T19:16:31Z 2012-10-11T06:33:55Z 2019-12-06T19:16:31Z 2012 2012 Journal Article Shang, Y., Fei, W., & Yu, H. (2012). Analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices. IEEE Transactions on Circuits and Systems I: Regular Papers, 59(9), 1906-1918. https://hdl.handle.net/10356/95525 http://hdl.handle.net/10220/8762 10.1109/TCSI.2011.2180441 162564 en IEEE transactions on circuits and systems I: regular papers © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [DOI: http://dx.doi.org/10.1109/TCSI.2011.2180441]. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Shang, Yang
Fei, Wei
Yu, Hao
Analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices
description Hybrid integration of CMOS and nonvolatile memory (NVM) devices has become the foundation for emerging nonvolatile memory-based computing. The primary challenge to validate hybrid memory system with both CMOS and NVM devices is to develop a SPICE-like simulator that can simulate the dynamic behavior accurately and efficiently. Since memristor, spin-transfer-toque magnetic-tunneling-junction (STT-MTJ) and phase-change-memory (PCM) devices are the most promising candidates of next generation of NVM devices, it is under great interest in including these new devices in the standard CMOS design flow. The previous approaches either ignore dynamic effect without consideration of internal states for dynamic behavior, or need complex equivalent circuits to represent those devices. This paper proposes a new modified nodal analysis for NVM devices with identified internal state variables for dynamic behavior. As such, compact SPICE-like implementation can be derived for all three new NVM devices in the design of large-scale memory circuits. As demonstrated by a number of examples on hybrid memory circuits with both CMOS and NVM devices, our newly developed SPICE-like simulator can capture dynamic behaviors of memristor, STT-MTJ and PCM devices, and can also reduce CPU runtime by 20-69 times when compared to the previous equivalent circuit based approaches.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Shang, Yang
Fei, Wei
Yu, Hao
format Article
author Shang, Yang
Fei, Wei
Yu, Hao
author_sort Shang, Yang
title Analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices
title_short Analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices
title_full Analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices
title_fullStr Analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices
title_full_unstemmed Analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices
title_sort analysis and modeling of internal state variables for dynamic effects of nonvolatile memory devices
publishDate 2012
url https://hdl.handle.net/10356/95525
http://hdl.handle.net/10220/8762
_version_ 1681034277284741120