Analysis of Variation Sources in Ring Oscillator Layouts Thomas Chandler and Shion Hung Non-Members, IEEE 14 May 2003 6.780 Term Project 1 Agenda Acknowledgment of Original work Methods Areas for Exploration Polysilicon Density Effects Single chips vs. ‘superchip’ Two way effects Results Conclusions 14 May 2003 6.780 Term Project 2 Acknowledgement of Original Work Based on Karen M. Gonzalez-Valentin’s Master thesis: “Extraction of Variation Sources due to Layout Practices” Multiple ring oscillator structures on 35 chips Conclusions: Poly Density changes frequency by 2.5% Finger spacing has significant effect Vertical ring oscillators also significant 14 May 2003 6.780 Term Project 3 Methods Compiled data for aggregate ‘superchip’ Used JMP-IN Fit model for polysilicon density Two way interactions – least squares regression Compared whether individual results within ‘superchip’ confidence interval 14 May 2003 6.780 Term Project 4 Areas for Exploration – Poly Density Effects Determine a model for the effect of polysilicon density on frequency Poly Poly Poly Poly Ring Oscillator Poly Poly Poly Poly Based on measurements for poly density = 0%, 12.5%, 25%, 50% 14 May 2003 6.780 Term Project 5 Fit Model for Poly Density frequency = 4.477 − 0.213 * density 14 May 2003 6.780 Term Project 6 Actual by Predicted Poly Density 4900000 Column 2 Actual 4800000 4700000 4600000 4500000 4400000 4300000 4200000 4200000 4400000 4600000 4800000 Column 2 Predicted P<.0001 RSq=0.21 RMSE=79410 14 May 2003 6.780 Term Project 7 Single chips vs. ‘superchip’ Any differences between individual chip behavior and the aggregate ‘superchip’? 14 May 2003 6.780 Term Project 8 Results – Poly Density Slope Coefficient Confidence Intervals 0 -50,000 -100,000 slope estimate -150,000 -200,000 upper -250,000 lower -300,000 mean -350,000 -400,000 -450,000 su pe r ch ip ch ip ch 5 ip 2 ch 6 ip 20 ch ip ch 8 ip 28 ch ip ch 4 ip 1 ch 8 ip 2 ch 7 ip 2 ch 4 ip 35 ch ip ch 7 ip 1 ch 1 ip 2 ch 9 ip 3 ch 0 ip 2 ch 3 ip 16 ch ip 9 -500,000 14 May 2003 6.780 Term Project 9 Intercept Confidence Intervals Intercept Confidence Intervals 4,600,000 mean estimate 4,550,000 4,500,000 upper lower 4,450,000 ` mean 4,400,000 su pe r st a ch r ip ch 5 ip 2 ch 6 ip 20 ch ip ch 8 ip 28 ch ip ch 4 ip 1 ch 8 ip 2 ch 7 ip 2 ch 4 ip 35 ch ip ch 7 ip 1 ch 1 ip 2 ch 9 ip 3 ch 0 ip 2 ch 3 ip 16 ch ip 9 4,350,000 14 May 2003 6.780 Term Project 10 Areas for Exploration Two way effects with Vertical RO’s Gonzalez-Valentin’s demonstrated that Vertical RO’s may be different (lower µ, larger σ) May be due to mask making bias or ion implantation effect Next question: Are these vertical effects truly significant? Are there any effect interactions in the data set? 14 May 2003 6.780 Term Project 11 Vertical RO’s versus 3x spacing Poly Poly Poly Does line spacing have a significant effect on frequency? Significant interaction with Vertical RO’s? 14 May 2003 6.780 Term Project 12 Vertical RO’s vs Single Finger Canonical RO has multiple fingers Does a single finger with same effective gate length have a different effect? Significant interaction with Vertical RO’s? 14 May 2003 6.780 Term Project 13 Two way interactions Vertical vs. 3x spacing Both main effects are significant (<0.001) Cross term not significant Vertical vs. single finger Both main effects are significant (<0.001) Cross term is significant (<0.001), but magnitude is minimal 14 May 2003 6.780 Term Project 14 Summary of Fit 0.442632 RSquare 0.442533 RSquare Adj 121798.8 Root Mean Square Error 4411380 Mean of Response 17010 Observations (or Sum Wgts) Avg. RSquare for individual chips: 0.887206 Parameter Estimates Term Intercept vertical single finger vertical*single finger 14 May 2003 Estimate Std Error 4363792.7 -22979.12 -110366.5 7898.9525 t Ratio Prob>|t| 1153.876 3781.9 1153.876 -19.91 1153.876 -95.65 1153.876 6.85 6.780 Term Project 0.0000 <.0001 0.0000 <.0001 15 Fit of ‘superchip’ poor ‘Superchip’ R2 values were much worse than the individual chips Fit affected by some significant outliers: Y Actual 13142857 9857142.9 6571428.6 4000000 7000000 10000000 13000000 Y Predicted P0.0000 RSq=0.44 RMSE=121799 14 May 2003 6.780 Term Project 16 Conclusions All main effects inspected in paper were significant Model fit for polysilicon density effect 50% ∆ in density = 3% ∆ in frequency Density has a consistent effect over multiple individual chips Significant but small interaction between vertical RO’s and single finger 14 May 2003 6.780 Term Project 17 Questions? 14 May 2003 6.780 Term Project 18