Deep nanometer scale (32, 22, 16, 11 nm and beyond) VLSI design calls for ...
Texts: (1) N. Sherwani, Algorithms for VLSI Physical Design Automation, 3rd ...
Text: S.M. Sait and H. Youssef, VLSI Physical Design Automation, World
Scientific ... (1) Sabih H. Gerez, Algorithms for VLSI Design Automation, Wiley,
1998.
and adaptable algorithms for VLSI physical design: the transformation of a logical
- ... Key words: VLSI, VLSICAD, layout, physical design, design automation,.
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A GENETIC ALGORITHM FOR VLSI PHYSICAL DESIGN AUTOMATION. Volker
Schnecke, Oliver Vornberger. University of Osnabr uck, Dept. of Math.
architectures are proposed for computing the integer modulo operation X mod m when m is ... generators that involve arithmetic modulo operations [6]-[8].
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Weste and K. ... International symposium on Low-Power Electronics & Design.
Textbook: Design of High-Performance Microprocessor Circuits, A.
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VLSI SYSTEM DESIGN. COURSE STRUCTURE AND SYLLABUS. I YEAR - I ...
Algorithms for. VLSI Design Automation. Sabih H. Gerez. University ofTwente,
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Algorithms for VLSI Design Automation Sabih H. Gerez University ofTwente, Department of Electrical Engineering, The Netherlands
1 Introduction to Design Methodologies 1.1 The VLSI Design Problem 1.2 The Design Domains 1.3 Design Actions 1.4 Design Methods and Technologies 1.5 Bibliographic Notes
1 3 3 5 7 8 9
2 A Quick Tour of VLSI Design Automation Tools 2.1 Algorithmic and System Design 2.2 Structural and Logic Design 2.3 Transistor-level Design 2.4 Layout Design 2.5 Verification Methods 2.6 Design Management Tools 2.7 Bibliographic Notes
11 11 13 15 15 17 18 19
3 Algorithmic Graph Theory and Computational Complexity 3.1 Terminology 3.2 Data Structures for the Representation of Graphs 3.3 Computational Complexity 3.4 Examples of Graph Algorithms 3.4.1 Depth-first Search 3.4.2 Breadth-first Search 3.4.3 Dijkstra's Shortest-path Algorithm 3.4.4 Prim's Algorithm for Minimum Spanning Trees 3.5 Bibliographic Notes 3.6 Exercises
5 General-purpose Methods for Combinatorial Optimization 5.1 The Unit-size Placement Problem 5.2 Backtracking and Branch-and-bound 5.2.1 Backtracking 5.2.2 Branch-and-bound 5.3 Dynamic Programming 5.4 Integer Linear Programming 5.4.1 Linear Programming 5.4.2 Integer Linear Programming 5.5 Local Search 5.6 Simulated Annealing 5.7 Tabu Search 5.8 Genetic Algorithms 5:9 A Few Final Remarks on General-purpose Methods 5.10 Bibliographic Notes
53 54 55 56 59 62 65 65 67 69 71 73 75 78 79
II
81
Selected Design Problems and Algorithms
6 Layout Compaction 6.1 Design Rules . . . 6.2 Symbolic Layout 6.3 Problem Formulation 6.3.1 Applications of Compaction 6.3.2 Informal Problem Formulation 6.3.3 Graph-theoretical Formulation 6.3.4 Maximum-distance Constraints '. 6.4 Algorithms for Constraint-graph Compaction 6.4.1 A Longest-path Algorithm for DAGs 6.4.2 The Longest Path in Graphs with Cycles 6.4.3 The Liao-Wong Algorithm 6.4.4 The Bellman-Ford Algorithm 6.4.5 Discussion: Shortest Paths, Longest Paths and Time Complexity 6.5 Other Issues 6.6 Bibliographic Notes
8 Floorplanning 8.1 Floorplanning Concepts 8.1.1 Terminology and Floorplan Representation 8.1.2 Optimization Problems in Floorplanning 8.2 Shape Functions and Floorplan Sizing 8.3 Bibliographic Notes 8.4 Exercises
119 121 121 124 125 130 131
9 Routing 9.1 Types of Local Routing Problems 9.2 Area Routing 9.3 Channel Routing 9.3.1 Channel Routing Models 9.3.2 The Vertical Constraint Graph 9.3.3 Horizontal Constraints and the Left-edge Algorithm 9.3.4 Channel Routing Algorithms 9.4 Introduction to Global Routing 9.4.1 Standard-cell Layout 9.4.2 Building-block Layout and Channel Ordering 9.5 Algorithms for Global Routing 9.5.1 Problem Definition and Discussion 9.5.2 Efficient Rectilinear Steiner-tree Construction 9.5.3 Local Transformations for Global Routing 9.6 Bibliographic Notes ' 9.7 Exercises
12 High-level Synthesis . . . 235 12.1 Hardware Models for High-level Synthesis . . 235 12.1.1 Hardware for Computations, Data Storage, and Interconnection236 12.1.2 Data, Control, and Clocks 238 12.2 Internal Representation of the Input Algorithm 239 12.2.1 Simple Data Flow 239 12.2.2 Conditional Data Flow 241 12.2.3 Iterative Data Flow 243 12.2.4 Data-flow Graph Representation 245 12.3 Allocation, Assignment and Scheduling 247 12.3.1 Goals and Terminology 247 12.3.2 A Detailed Example 248 12.3.3 Optimization Issues 251 12.4 Some Scheduling Algorithms 253 12.4.1 ASAP Scheduling 253 12.4.2 Mobility-based Scheduling 254
Contents
12.5
12.6 12.7 12.8
ix
12.4.3 Force-directed Scheduling 256 12.4.4 List Scheduling 259 Some Aspects of the Assignment Problem 261 12.5.1 Optimization Issues 261 12.5.2 Graph Theoretical Problem Formulation 262 12.5.3 Assignment by Interval and Circular-arc Graph Coloring . . 264 12.5.4 Assignment by Clique Partitioning 265 High-level Transformations 266 Bibliographic Notes * 271 Exercises . . . ." 273
III Appendices
275
Appendix A CMOS Technology A.I The MOS Transistor and CMOS Logic Design A.2 Transistor Layout in CMOS and Related Issues A.3 Bibliographic Notes
277 278 282 285
Appendix B About the Pseudo-code Notation B.I Data Structures and Declarations B.2 C-language Constructs B.3 Pseudo-code Constructs B.4 Bibliographic Notes