HYPERA: High-yield performance-efficient redundancy analysis

Tsung Chu Huang, Kuei Yeh Lu, Yen Chieh Huang

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

3 Citations (Scopus)


A novel memory repair architecture based on redundant hypercube is proposed, which mainly consists of a modified ternary CAM with an address bubble-shifter. Generally for an acceptable repair rate about 3% of spare subcubes and no more than 5% of hardware overhead are required. A modified Quine-McCluskey algorithm and the Essential Cube Pivoting algorithm are also developed for redundancy analysis. Almost 100% of repair rate can be obtained using only 32 equivalent rows under reasonable situations. Under less spare memory the repair rates of proposed approaches can be much higher than most results of previous work.

Original languageEnglish
Title of host publicationProceedings - 2010 19th IEEE Asian Test Symposium, ATS 2010
Number of pages6
Publication statusPublished - 2010 Dec 1
Event2010 19th IEEE Asian Test Symposium, ATS 2010 - Shanghai, China
Duration: 2010 Dec 12010 Dec 4

Publication series

NameProceedings of the Asian Test Symposium
ISSN (Print)1081-7735


Other2010 19th IEEE Asian Test Symposium, ATS 2010

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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