Power Integrity Coanalysis Methodology for Multi-Domain High-Speed Memory Systems
With the increasing demand for state-of-the-art technologies, such as wearable devices and the Internet of things (IoT), power integrity has emerged as a major concern for high-speed, low-power interfaces that are used as mobile platforms. By using case-specific design models in a high-speed memory...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8763973/ |
id |
doaj-09d0908441da4713a7c0ef331448f418 |
---|---|
record_format |
Article |
spelling |
doaj-09d0908441da4713a7c0ef331448f4182021-03-29T23:58:40ZengIEEEIEEE Access2169-35362019-01-017953059531310.1109/ACCESS.2019.29288968763973Power Integrity Coanalysis Methodology for Multi-Domain High-Speed Memory SystemsSeungwon Kim0https://orcid.org/0000-0002-9016-8792Ki Jin Han1https://orcid.org/0000-0002-7190-8492Youngmin Kim2Seokhyeong Kang3https://orcid.org/0000-0001-7677-9864Department of Electrical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South KoreaDivision of Electronics and Electrical Engineering, Dongguk University, Seoul, South KoreaSchool of Electronic and Electrical Engineering, Hongik University, Seoul, South KoreaDepartment of Electrical Engineering, Pohang University of Science and Technology, Pohang, South KoreaWith the increasing demand for state-of-the-art technologies, such as wearable devices and the Internet of things (IoT), power integrity has emerged as a major concern for high-speed, low-power interfaces that are used as mobile platforms. By using case-specific design models in a high-speed memory system, only a limited analysis of the effects of parametric variations can be performed in complex design problems, such as adjacent voltage domain coupling at high frequencies. Moreover, a conventional industrial method can be simulated only after completing the design layout; therefore, a number of iterative back-annotation processes are required for signoff; this delays the time to market. In this paper, we propose a power integrity coanalysis methodology for multiple power domains in high-frequency memory systems. Our proposed methodology can analyze the tendencies in power integrity by using parametric methods, such as parameter sweeping and Monte Carlo simulations. Our experiments prove that our proposed methodology can predict similar peak-to-peak ripple voltages that are comparable with the realistic simulations of low-power double data rate four interfaces.https://ieeexplore.ieee.org/document/8763973/Power integrity (PI)multi-domain couplinghigh-speed memorypower delivery systempower distribution network (PDN)chip-package-PCB coanalysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Seungwon Kim Ki Jin Han Youngmin Kim Seokhyeong Kang |
spellingShingle |
Seungwon Kim Ki Jin Han Youngmin Kim Seokhyeong Kang Power Integrity Coanalysis Methodology for Multi-Domain High-Speed Memory Systems IEEE Access Power integrity (PI) multi-domain coupling high-speed memory power delivery system power distribution network (PDN) chip-package-PCB coanalysis |
author_facet |
Seungwon Kim Ki Jin Han Youngmin Kim Seokhyeong Kang |
author_sort |
Seungwon Kim |
title |
Power Integrity Coanalysis Methodology for Multi-Domain High-Speed Memory Systems |
title_short |
Power Integrity Coanalysis Methodology for Multi-Domain High-Speed Memory Systems |
title_full |
Power Integrity Coanalysis Methodology for Multi-Domain High-Speed Memory Systems |
title_fullStr |
Power Integrity Coanalysis Methodology for Multi-Domain High-Speed Memory Systems |
title_full_unstemmed |
Power Integrity Coanalysis Methodology for Multi-Domain High-Speed Memory Systems |
title_sort |
power integrity coanalysis methodology for multi-domain high-speed memory systems |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
With the increasing demand for state-of-the-art technologies, such as wearable devices and the Internet of things (IoT), power integrity has emerged as a major concern for high-speed, low-power interfaces that are used as mobile platforms. By using case-specific design models in a high-speed memory system, only a limited analysis of the effects of parametric variations can be performed in complex design problems, such as adjacent voltage domain coupling at high frequencies. Moreover, a conventional industrial method can be simulated only after completing the design layout; therefore, a number of iterative back-annotation processes are required for signoff; this delays the time to market. In this paper, we propose a power integrity coanalysis methodology for multiple power domains in high-frequency memory systems. Our proposed methodology can analyze the tendencies in power integrity by using parametric methods, such as parameter sweeping and Monte Carlo simulations. Our experiments prove that our proposed methodology can predict similar peak-to-peak ripple voltages that are comparable with the realistic simulations of low-power double data rate four interfaces. |
topic |
Power integrity (PI) multi-domain coupling high-speed memory power delivery system power distribution network (PDN) chip-package-PCB coanalysis |
url |
https://ieeexplore.ieee.org/document/8763973/ |
work_keys_str_mv |
AT seungwonkim powerintegritycoanalysismethodologyformultidomainhighspeedmemorysystems AT kijinhan powerintegritycoanalysismethodologyformultidomainhighspeedmemorysystems AT youngminkim powerintegritycoanalysismethodologyformultidomainhighspeedmemorysystems AT seokhyeongkang powerintegritycoanalysismethodologyformultidomainhighspeedmemorysystems |
_version_ |
1724188732706258944 |