PPT-Using Machine Learning to Predict Path-Based Slack from Graph-Based Timing Analysis

Author : brooke | Published Date : 2023-10-04

Andrew B Kahng Uday Mallappa and Lawrence Saul UC San Diego ECE amp CSE Department Preliminaries Modeling Features Modeling Methodology Experiments

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Using Machine Learning to Predict Path-B..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Using Machine Learning to Predict Path-Based Slack from Graph-Based Timing Analysis: Transcript

Andrew B Kahng Uday Mallappa and Lawrence Saul UC San Diego ECE amp CSE Department Preliminaries Modeling Features Modeling Methodology Experiments Conclusions. David Kauchak. CS457 Fall 2011. Admin. Assignment 4. How’d it go?. How much time?. Assignment 5. Last assignment!. “Written” part due Friday. Rest, due next Friday. Read article for discussion on Thursday. Tsung. -Wei Huang. and Martin D. F. Wong. Department of Electrical and Computer Engineering (ECE). University of Illinois at Urbana-Champaign (UIUC), IL, USA. 2015 ACM International Symposium on Physical Design (ISPD). Homotopy. Class Constraints. Subhrajit Bhattacharya . Vijay Kumar. Maxim . Likhachev. University of. Pennsylvania. GRASP. L. ABORATORY. Addendum. For the simple cases in 2-dimensions we have not distinguished between . Subramanyam Sripada. Murthy Palla. Synopsys Inc.. March 12, 2013. Agenda. Motivation. Background. Approach. Illustration of Approach. Results. Design/Complexity Projections. An idea of what you can expect. Tsung. -Wei Huang. , Pei-. Ci. Wu, and Martin D. F. Wong. Department of Electrical and Computer Engineering (ECE). University of Illinois at Urbana-Champaign (UIUC), IL, USA. 2014 IEEE/ACM International Conference on Computer-Aided Design. PrimeTime. . Speaker: Bob Tsai. Advisor: . Jie. -Hong Roland Jiang . Introduction. Flow. On Chip Variation (OCV). Manual/automated . netlist. editing. Signal integrity and crosstalk. Outline. PrimeTime. Andrew B. Kahng, Seokhyeong Kang, . Hyein Lee. , Siddhartha Nath and Jyoti Wadhwani. VLSI CAD LABORATORY, UC San Diego. 15. th. ACM/IEEE System-Level Interconnect Prediction Workshop. June 2. nd. , 2013. Static Timing Analysis. Tom Spyrou . TAU 2013. 3/2013. Goal of this talk. Higher level than latest trends. Remind ourselves the trade-offs we have made as an industry to have a workable solution for STA. Wei-Ting J. Chan, Kun Young Chung, Andrew B. Kahng, Nancy D. MacDonald and . Siddhartha Nath. Outline. Motivation. Previous Work . Our Work. Multiphysics Analysis. Modeling Methodology. Results . Conclusions. Tsung. -Wei Huang. , Pei-. Ci. Wu, and Martin D. F. Wong. Department of Electrical and Computer Engineering (ECE). University of Illinois at Urbana-Champaign (UIUC), IL, USA. 2014 IEEE/ACM International Conference on Computer-Aided Design. Tsung. -Wei Huang. and Martin D. F. Wong. Department of Electrical and Computer Engineering (ECE). University of Illinois at Urbana-Champaign (UIUC), IL, USA. 2015 ACM International Symposium on Physical Design (ISPD). Department of Computing, The Hong Kong Polytechnic University. The Hong Kong Polytechnic University Shenzhen Research Institute. {cslyu, csxluo, csxliu, cstzhang}@comp.polyu.edu.hk. 2016 DSN (CCF B). Yonggang Cui. 1. , Zoe N. Gastelum. 2. , Ray Ren. 1. , Michael R. Smith. 2. , . Yuewei. Lin. 1. , Maikael A. Thomas. 2. , . Shinjae. Yoo. 1. , Warren Stern. 1. 1 . Brookhaven National Laboratory, Upton, USA. Er. . . Mohd. . Shah . Alam. Assistant Professor. Department of Computer Science & Engineering,. UIET, CSJM University, Kanpur. Agenda. What is Machine Learning?. How Machine learning . is differ from Traditional Programming?.

Download Document

Here is the link to download the presentation.
"Using Machine Learning to Predict Path-Based Slack from Graph-Based Timing Analysis"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.