A new scan chain reordering method for low power consumption based on care bit density

Kyunghwan Cho, Jihye Kim, Hyunggoy Oh, Sangjun Lee, Sungho Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Scan-based testing, though widely used in modern digital designs, causes more power consumption than in functional mode. This excessive power consumption can cause severe hazards such as circuit reliability and yield loss. To solve this problem, a new scan chain reordering method based on care bit density is proposed in this paper. This proposed method helps merging care bits toward the front end of scan chains. Thus, it can reduce scan cell switching activities during scan shift operation. Experimental results on ISCAS'89 benchmark circuits show that the proposed scan chain reordering method reduces test power consumption compared to the previous work.

Original languageEnglish
Title of host publicationProceedings - 2019 International SoC Design Conference, ISOCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages134-135
Number of pages2
ISBN (Electronic)9781728124780
DOIs
Publication statusPublished - 2019 Oct 1
Event16th International System-on-Chip Design Conference, ISOCC 2019 - Jeju, Korea, Republic of
Duration: 2019 Oct 62019 Oct 9

Publication series

NameProceedings - 2019 International SoC Design Conference, ISOCC 2019
Volume2019-January

Conference

Conference16th International System-on-Chip Design Conference, ISOCC 2019
Country/TerritoryKorea, Republic of
CityJeju
Period19/10/619/10/9

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by the IT R&D program of MOTIE/KEIT. [10052716, Design technology development of ultra-low voltage operating circuit and IP for smart sensor SoC].

Funding Information:
This work was supported by the IT R&D program of MOTIE/KEIT. [10052716, Design technology development of ultra-low voltage operating circuit and IP for smart sensor SoC].

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Instrumentation
  • Artificial Intelligence
  • Hardware and Architecture

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