Statistical timing analysis considering spatially and temporally correlated dynamic power supply noise

  • Authors:
  • Takashi Enami;Shinyu Ninomiya;Masanori Hashimoto

  • Affiliations:
  • Osaka University, Suita, Japan;Osaka University, Suita, Japan;Osaka University, Suita, Japan

  • Venue:
  • Proceedings of the 2008 international symposium on Physical design
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Power supply noise is becoming more and more influential on timing, though noise aware timing analysis has not been well established yet, because of several difficulties such as its dependency on input vectors and dynamic behavior. This paper proposes a static timing analysis considering power supply noise in which the dependency of noise on input vectors and spatial and temporal correlations are handled in a statistical manner. We construct a statistical model of power supply voltage that dynamically varies with spatial and temporal correlation, and represent it as a set of uncorrelated variables. We demonstrate that power voltage variation is highly correlated and adopting principal component analysis as an orthogonalization technique is effective in variable reduction. Experiments confirm the validity of our model and the accuracy of timing analysis. We also discuss the accuracy and CPU time in association with variable reduction