Cart (Loading....) | Create Account
Close category search window

A realistic fault model and test algorithms for static random access memories

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Dekker, R. ; Philips Res. Lab., Eindhoven, Netherlands ; Beenker, F. ; Thijssen, L.

Testing static random access memories (SRAMs) for all possible failures is not feasible and one must restrict the class of faults to be considered. This restricted class is called a fault model. A fault model for SRAMs based on physical spot defects, which are modeled as local disturbances in the layout of the SRAM, is presented. Two linear test algorithms that cover 100% of the faults under the fault model are proposed. A general solution is given for testing word-oriented SRAMs. The practical validity of the fault model and the two test algorithms are verified by a large number of actual wafer tests and device failure analyses

Published in:

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:9 ,  Issue: 6 )

Date of Publication:

Jun 1990

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.