By Topic

Automatic error diagnosis and correction for RTL designs

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

4 Author(s)
Kai-Hui Chang ; Univ. of Michigan, Ann Arbor ; Wagner, I. ; Bertacco, V. ; Markov, I.L.

Recent improvements in design verification strive to automate the error-detection process and greatly enhance engineers' ability to detect functional errors. However, the process of diagnosing the cause of these errors and fixing them remains difficult and requires significant ad-hoc manual effort. Our work proposes improvements to this aspect of verification by presenting novel constructs and algorithms to automate the error-repair process at the Register-Transfer Level (RTL), where most development occurs. Our contributions include a new RTL error model and scalable error-repair algorithms. Empirical results show that our solution can diagnose and correct errors in just a handful of minutes even for complex designs o/up to several thousand lines of RTL code in minutes. This demonstrates the superior scalability and efficiency of our approach compared to previous work.

Published in:

High Level Design Validation and Test Workshop, 2007. HLVDT 2007. IEEE International

Date of Conference:

7-9 Nov. 2007