Buffer insertion under process variations for delay minimization

Liang Deng, Martin D. F. Wong

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

16 Citations (Scopus)


This paper considers the buffer insertion problem under process variations. With continued technology scaling, it is necessary to model the physical parameters to be random variables. One approach to the buffer insertion problem under variations is to use the mean values of these parameters and solve the problem using traditional buffer insertion techniques for delay minimization. Another approach is to find a buffer insertion solution using a new method that can handle the probability distributions. Thus, the performance can be optimized with some yield constraint. In this paper, we present both analytical and experimental results to show that the two approaches give almost identical solutions. In other words, the more expensive statistical methods are not needed for the buffer insertion in delay minimization problem.

Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Computer-Aided Design
Place of PublicationUnited States
Number of pages5
Publication statusPublished - Nov 2005
EventIEEE/ACM International Conference on Computer-Aided Design, ICCAD 2005 - San Jose, United States
Duration: 6 Nov 200510 Nov 2005
https://ieeexplore.ieee.org/xpl/conhome/10431/proceeding (Conference proceedings)


ConferenceIEEE/ACM International Conference on Computer-Aided Design, ICCAD 2005
Country/TerritoryUnited States
CitySan Jose
Internet address

Scopus Subject Areas

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design


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