1 / 6

Gate Sizing Based on Lagrangian Relaxation

Gate Sizing Based on Lagrangian Relaxation. Yu-Min Lee Advisor: Charlie Chung-Ping Chen. Functionality. Gate characterization Propagation delay Gate capacitance Posynomial curve fitting Lagrangian relaxation(LR) sizer Automatic gate sizing

Download Presentation

Gate Sizing Based on Lagrangian Relaxation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Gate Sizing Based on Lagrangian Relaxation Yu-Min Lee Advisor: Charlie Chung-Ping Chen

  2. Functionality • Gate characterization • Propagation delay • Gate capacitance • Posynomial curve fitting • Lagrangian relaxation(LR) sizer • Automatic gate sizing • Optimality guarantee for convex programming problem

  3. LR Sizer Structure Gate Lib/ HSPICE Gate Characterization Curve Fitting ISCAS Format Circuit LR Sizer

  4. Gate Characterization • Use HSPICE simulator to characterize the delay of each gate, NOT, NAND, NOR, … with different sizes and load capacitance • Use HSPICE simulator to characterize the equivalent input capacitance of each gate, NOT, NAND, NOR, … with different sizes and load capacitance

  5. Curve Fitting: Posynomial • Use least-square fitting to find the best posynomial curve for propagation delay, and equivalent capacitance of each gate

  6. Lagrangian Relaxation • LRS (Lagrangian Relaxation Subproblem) • The optimal solution for any LRS is a lower bound of the original problem for any type of problem • There exists Lagrangian multipliers will lead LRS to find the optimal solution for convex programming problem

More Related