VLSI Physical Design

1 Introduction. 1.1 Electronic Design Automation (EDA). 1.2 VLSI Design Flow. 1.3 VLSI Design Styles. 1.4 Layout Layers and Design Rules. 1.5 Physical Design Optimizations. 1.6 Algorithms and Complexity. 1.7 Graph Theory Terminology. 1.8 Common EDA Terminology.

2 Netlist and System Partitioning. 2.1 Introduction. 2.2 Terminology. 2.3 Optimization Goals. 2.4 Partitioning Algorithms. 2.5 A Framework for Multilevel Partitioning. 2.6 System Partitioning onto Multiple FPGAs. Chapter 2 Exercises.

3 Chip Planning. 3.1 Introduction to Floorplanning. 3.2 Optimization Goals in Floorplanning. 3.3 Terminology. 3.4 Floorplan Representations. 3.5 Floorplanning Algorithms. 3.6 Pin Assignment. 3.7 Power and Ground Routing. Chapter 3 Exercises.

4 Global and Detailed Placement. 4.1 Introduction. 4.2 Optimization Objectives. 4.3 Global Placement. 4.4 Legalization and Detailed Placement. Chapter 4 Exercises.

5 Global Routing. 5.1 Introduction. 5.2 Terminology and Definitions. 5.3 Optimization Goals. 5.4 Representations of Routing Regions. 5.5 The Global Routing Flow. 5.6 Single-Net Routing. 5.7 Full-Netlist Routing. 5.8 Modern Global Routing. Chapter 5 Exercises.

6 Detailed Routing. 6.1 Terminology. 6.2 Horizontal and Vertical Constraint Graphs. 6.3 Channel Routing Algorithms. 6.4 Switchbox Routing. 6.5 Over-the-Cell Routing Algorithms. 6.6 Modern Challenges in Detailed Routing. Chapter 6 Exercises.

7 Specialized Routing. 7.1 Introduction to Area Routing. 7.2 Net Ordering in Area Routing. 7.3 Non-Manhattan Routing. 7.4 Basic Concepts in Clock Networks. 7.5 Modern Clock Tree Synthesis. Chapter 7 Exercises.

8 Timing Closure. 8.1 Introduction. 8.2 Timing Analysis and Performance Constraints. 8.3 Timing-Driven Placement. 8.4 Timing-Driven Routing. 8.5 Physical Synthesis. 8.6 Performance-Driven Design Flow. 8.7 Conclusions. Chapter 8 Exercises.

A Solutions to Chapter Exercises. B Example CMOS Cell Layouts.

Andrew B. Kahng is Professor of CSE and ECE at UC San Diego, where he holds the endowed chair in High-Performance Computing. He has served as visiting scientist at Cadence (1995-1997) and as founder, chairman and CTO at Blaze DFM (2004-2006).

Jens Lienig is Professor of Electrical Engineering at TU Dresden. He is also the director of the Institute of Electromechanical and Electronic Design at TUD. He has worked as project manager at Tanner Research, Inc. (1996-1999) and Robert Bosch GmbH (1999-2002).

Igor L. Markov is a Professor of Electrical Engineering and Computer Science at the University of Michigan. He has worked at Google (2014-2017) and has been with Facebook since 2018.



Jin Hu was a PhD student at the Computer Science and Engineering (CSE) Division at the University of Michigan. Afterwards, she has been with IBM Corp. (2013-2017) and Bloomberg L.P.

This book covers the basic algorithms underlying all physical design steps and also shows how they are applied to current instances of the design problems. It will serve the EDA and design community well. It will be a foundational text and reference for the next generation of professionals who will be called on to continue the advancement of our chip design tools. Dr. Leon Stok, Vice President, Electronic Design Automation, IBM Systems and Technology Group