A New Statistical Timing Analysis Using Gaussian Mixture Models for Delay and Slew Propagated Together
スポンサーリンク
概要
- 論文の詳細を見る
In order to improve the performance of the existing statistical timing analysis, slew distributions must be taken into account and a mechanism to propagate them together with delay distributions along signal paths is necessary. This paper introduces Gaussian mixture models to represent the slew and delay distributions, and proposes a novel algorithm for statistical timing analysis. The algorithm propagates a pair of delay and slew in a given circuit graph, and changes the delay distributions of circuit elements dynamically by propagated slews. The proposed model and algorithm are evaluated by comparing with Monte Carlo simulation. The experimental results show that the accuracy improvement in µ +3σ value of maximum delay is up to 4.5 points from the current statistical timing analysis using Gaussian distributions.
- 2009-03-01
著者
-
Tsukiyama Shuji
Chuo Univ. Tokyo Jpn
-
Tsukiyama Shuji
Chuo University
-
TAKAHASHI Shingo
Chuo University
-
Tsukiyama Shuji
Chuo Univ.
関連論文
- A New Statistical Timing Analysis Using Gaussian Mixture Models for Delay and Slew Propagated Together
- Transistor Sizing of LCD Driver Circuit for Technology Migration(Circuit Synthesis,VLSI Design and CAD Algorithms)
- A Sampling Switch Design Procedure for Active Matrix Liquid Crystal Displays(Circuit Synthesis,VLSI Design and CAD Algorithms)
- An Algorithm to Calculate Correlation Coefficients between Interconnect Delays for Use in Statistical Timing Analysis (VLSI Design Technology and CAD)
- A Statistical Maximum Algorithm for Gaussian Mixture Models Considering the Cumulative Distribution Function Curve
- A New Delay Distribution Model with a Half Triangular Distribution for Statistical Static Timing Analysis