Principle hessian direction based parameter reduction forinterconnect networks with process variation

Alexander V. Mitev, Michael Marefat, Dongsheng Ma, J. Wang

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

Abstract

As CMOS technology enters the nanometer regime, the increasing process variation is bringing manifest impact on circuit performance. To accurately take account of both global and local process variations, a large number of random variables (or parameters) have to be incorporated into circuit models. This measure in turn raises the complexity of the circuit models. The current paper proposes a Principle Hessian Direction (PHD) based parameter reduction approach for interconnect networks. The proposed approach relies on each parameter's impact on circuit performance to decide whether keeping or reducing the parameter. Compared with existing principle component analysis(PCA) method, this performance based property provides us a significantly smaller parameter set after reduction. The experimental results also support our conclusions. In interconnect cases, the proposed method reduces 70% of parameters. In some cases (the mesh example in the current paper), the new approach leads to an 85% reduction. We also tested ISCAS benchmarks. In all cases, an average of 53% of reductionis observed with less than 3% error in mean and less than 8% error in variation.

Original languageEnglish (US)
Title of host publicationProceedings of SLIP'07
Subtitle of host publication2007 International Workshop on System Level Interconnect Prediction
Pages41-46
Number of pages6
DOIs
StatePublished - 2007
EventSLIP'07: 2007 International Workshop on System Level Interconnect Prediction - Austin, TX, United States
Duration: Mar 17 2007Mar 18 2007

Publication series

NameInternational Workshop on System Level Interconnect Prediction, SLIP

Other

OtherSLIP'07: 2007 International Workshop on System Level Interconnect Prediction
CountryUnited States
CityAustin, TX
Period3/17/073/18/07

Keywords

  • Principle Hessian directions
  • Process variation
  • Timing analysis

ASJC Scopus subject areas

  • Engineering(all)

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