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

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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. Closure. Page . 2. Welcome. This module will help you understand how your synthesis tool, the ISE software, HDL coding style, and other factors that affect your ability to meet your system timing objectives. 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. Qiuyang Wu. 2015.3.13. Outline. This talk answers the following questions regarding timing constraints:. What are the key scalability challenges?. What are the available solutions?. Design Complexity Trends. David Kauchak. CS 451 – Fall 2013. Why are you here?. What is Machine Learning?. Why are you taking this course?. What topics would you like to see covered?. Machine Learning is…. Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data.. Kun Young Chung. *. , Andrew B. Kahng. +. and . Jiajia Li. +. + . University of California at San Diego. * . Qualcomm Inc.. Agenda. Motivation. Related Works. Our Methodology. Experimental Results. Conclusions. 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. Kyungseok. Kim and . Vishwani. D. . Agrawal. ECE Dept. Auburn University. Auburn, AL 36849, USA. IEEE ICIT-SSST Conference. Auburn, March 14, 2011. Low Power Design Using Dual-. V. dd. . Apply V. DDH . 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). Top 3 Critical Paths. Angelo Arcoleo. 18 May2011. 1. Purpose – This presentation describes one way to analyze total slack and develop a projects’ Top 3 Critical Paths. . (There are several other ways….). Reetuparna. Das. €. §. . Onur. Mutlu. †. . Thomas Moscibroda. ‡. . Chita Das. §. € . Intel Labs . §. PennState. . †. CMU . ‡. Microsoft Research. Network-on-Chip. Network-on-Chip. Reetuparna. Das. €. §. . Onur. Mutlu. †. . Thomas Moscibroda. ‡. . Chita Das. §. € . Intel Labs . §. PennState. . †. CMU . ‡. Microsoft Research. Network-on-Chip. Network-on-Chip. Agenda. Objectives. 01. Slack Overview. 02. Q&A. 07. Use Cases. 04. Install Channel Tools. 05. Slack on Keep Teaching . 06. Getting Started. 03. Our Office in New Jersey . training . objectives. Upon completion of this presentation, you should be able to:. 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?.

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