An artificial intelligence approach to VLSI routing

Rostam Joobbani

[目次]

  • 1. Introduction.- 1.1. Motivation.- 1.2. Outline.- 2. Detailed Routing.- 2.1. Problem Statement.- 2.2. Important Factors in Routing.- 2.3. Previous Approaches.- 2.3.1. Lee Algorithm.- 2.3.2. Line Routing Algorithms.- 2.3.3. Efficient Algorithms for Channel Routing.- 2.3.4. A "Greedy" Channel Router.- 2.3.5. Hierarchical Wire Routing.- 2.4. Characteristics of Previous Approaches.- 3. WEAVER Approach.- 3.1. Congestion.- 3.2. Wire Length.- 3.3. Rectilinear Steiner Tree.- 3.3.1. Steiner Tree.- 3.3.2. Minimal Rectilinear Steiner Tree for a 2xn Grid.- 3.3.3. Minimal Rectilinear Steiner Tree for A mxn Grid.- 3.4. Merging.- 3.5. Vertical/Horizontal Constraint Graph.- 3.6. Intersection.- 3.7. Conflicting Effects.- 4. Knowledge-Based Expert Systems.- 4.1. Productions Systems.- 4.2. OPS5.- 4.2.1. Working Memory.- 4.2.2. Production Memory.- 4.2.3. Interpreter.- 4.3. Applicability of Knowledge-Based Expert Systems to VLSI Design.- 4.3.1. Detailed Routing of VLSI Chips is Amenable to the Techniques of Applied AI.- 4.3.2. Detailed Routing of VLSI Chips is Important, Difficult and a High-Value Problem.- 4.4. Advantages and Disadvantages of Knowledge-Based Expert Systems.- 5. WEAVER Implementation.- 5.1. Problem State Representation.- 5.2. WEAVER Architecture.- 5.3. Blackboard Organization.- 5.4. WEAVER Experts.- 5.4.1. Wire Length Expert.- 5.4.2. Merging Expert.- 5.4.3. Congestion Expert.- 5.4.4. Vertical/Horizontal Constraint Expert.- 5.4.5. Via Expert.- 5.4.6. Common Sense Expert.- 5.4.7. Pattern Router Expert.- 5.4.8. Constraint Propagation Expert.- 5.4.9. User Expert.- 5.4.10. Minimal Rectilinear Steiner Tree Expert.- 5.5. WEAVER Control Structure.- 5.5.1. Nature of WEAVER Expertise.- 5.5.2. Generality of WEAVER Knowledge.- 5.6. Program Organization.- 6. Experiments and Results.- 6.1. Input/Output.- 6.1.1. Input.- 6.1.2. Output.- 6.2. Step by Step Trace of Routing a Channel.- 6.3. Experiments.- 6.3.1. Comparison with Efficient Algorithms for Channel Routing.- 6.3.2. Comparison with the Greedy Algorithm When Both can Route the Channel.- 6.3.3. WEAVER's Routing of a Channel Unroutable by the Greedy Algorithm.- 6.3.4. WEAVER's Solution to Provably Unroutable Channel and Switch-Box by Traditional Algorithms.- 6.3.5. Comparison with Aker's and Lee Algorithms.- 6.3.6. Comparison with the Minimum-Impact Routing Algorithm.- 6.3.7. Burstein's Difficult Switch-Box.- 6.3.8. Terminal Intensive Example.- 6.3.9. Dense Switch-Box Example.- 6.3.10. Conclusion to the Experiments.- 6.4. WEAVER's Performance Under Conditions of Disabled Experts.- 6.4.1. Merging Expert Disabled.- 6.4.2. Congestion and Merging Experts Disabled.- 6.4.3. Via Expert Disabled.- 6.4.4. Vertical/Horizontal Constraint Expert Partially Disabled.- 6.4.5. Rectilinear Steiner Tree Expert Disabled.- 6.4.6. Summary of the Results of Disabling the Experts.- 6.5. Efficiency Issues.- 6.5.1. Possible Execution Time Improvement.- 6.5.2. Writing Efficient OPS5 Programs.- 7. Conclusions and Future Work.- References.

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この本の情報

書名 An artificial intelligence approach to VLSI routing
著作者等 Joobbani, Rostam
Joobbani R.
シリーズ名 The Kluwer international series in engineering and computer science
出版元 Kluwer Academic
刊行年月 c1986
ページ数 xx, 159 p.
大きさ 25 cm
ISBN 089838205X
NCID BA00067060
※クリックでCiNii Booksを表示
言語 英語
出版国 アメリカ合衆国
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