Algorithms & Optimization Foundations for VLSI CAD: Introduction Fall 2023

Algorithms & Optimization Foundations for VLSI CAD: Introduction Fall 2023
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Dive into the world of VLSI design automation with a focus on algorithms, optimization, and cutting-edge technologies like GPU, Machine Learning, and Deep Learning. Explore potential project topics ranging from Min Cut with Retiming to Logic Synthesis, guided by the IEEE IRDS Roadmap and other key references.

  • VLSI CAD
  • Algorithms
  • Optimization
  • IEEE IRDS
  • Project Topics

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  1. CSE248: ALGORITHMIC AND OPTIMIZATION FOUNDATIONS FOR VLSI CAD Lecture 1: Introduction Fall 2023 Chung-Kuan Cheng 1

  2. Overall Outlines of Class CK Cheng, CSE 2130, tel. 858 534-6184, ckcheng+248@ucsd.edu Lectures: 3:30 ~ 4:50pm TTH CSE2154, Grading: Homework: 40% Project Outlines: 10% Project Presentation: 25% Final Report: 25% Goal: Foundation of VLSI design automation Research 2

  3. Potential Project Topics Tools at hand: GPU, Machine Learning, Deep Learning Partitioning Min Cut with Retiming Replication Cut with Retiming 2D/3D Floorplanning Enumeration of 3D floorplans vs. number of blocks 3D floorplanning 2D/3D Placement Placement with partitioning Routing Routing for 3D Layout Logic Synthesis Logic synthesis using novel logic components 3

  4. Motivation: IEEE IRDS Roadmap Moore s Law: A self-fulfilling prophecy driven by market and innovation. Geometric Scaling Design Technology Co-Optimization System Technology Co-Optimization More-than-Moore Exploration New Materials and Devices 4

  5. References 1. IEEE IRDS Roadmap 2. Interconnect Analysis and Synthesis, Cheng, Lillis, Lin, and Chang, John Wiley & Sons, 2000. 3. Electronic Design Automation: Synthesis, Verficiation, and Test, Wang, Chang, and Cheng, Morgan Kaufmann, 2009 4. VLSI Physical Design: From Graph Partitioning to Timing Closure, Kahng, Lienig, Markov, and Hu, Springer, 2022. 5. Conference and Journal Papers 5

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