EffiTest: Efficient delay test and statistical prediction for configuring post-silicon tunable buffers

Grace Li Zhang, Bing Li, Ulf Schlichtmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

At nanometer manufacturing technology nodes, process variations significantly affect circuit performance. To combat them, post-silicon clock tuning buffers can be deployed to balance timing budgets of critical paths for each individual chip after manufacturing. The challenge of this method is that path delays should be measured for each chip to configure the tuning buffers properly. Current methods for this delay measurement rely on path-wise frequency stepping. This strategy, however, requires too much time from expensive testers. In this paper, we propose an efficient delay test framework (EffiTest) to solve the post-silicon testing problem by aligning path delays using the already-existing tuning buffers in the circuit. In addition, we only test representative paths and the delays of other paths are estimated by statistical delay prediction. Experimental results demonstrate that the proposed method can reduce the number of frequency stepping iterations by more than 94% with only a slight yield loss.

Original languageEnglish
Title of host publicationProceedings of the 53rd Annual Design Automation Conference, DAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450342360
DOIs
StatePublished - 5 Jun 2016
Event53rd Annual ACM IEEE Design Automation Conference, DAC 2016 - Austin, United States
Duration: 5 Jun 20169 Jun 2016

Publication series

NameProceedings - Design Automation Conference
Volume05-09-June-2016
ISSN (Print)0738-100X

Conference

Conference53rd Annual ACM IEEE Design Automation Conference, DAC 2016
Country/TerritoryUnited States
CityAustin
Period5/06/169/06/16

Fingerprint

Dive into the research topics of 'EffiTest: Efficient delay test and statistical prediction for configuring post-silicon tunable buffers'. Together they form a unique fingerprint.

Cite this