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Algorithms for VLSI Physical Design Automation

TLDR
This book is a core reference for graduate students and CAD professionals and presents a balance of theory and practice in a intuitive manner.
Abstract
From the Publisher: This work covers all aspects of physical design. The book is a core reference for graduate students and CAD professionals. For students, concept and algorithms are presented in an intuitive manner. For CAD professionals, the material presents a balance of theory and practice. An extensive bibliography is provided which is useful for finding advanced material on a topic. At the end of each chapter, exercises are provided, which range in complexity from simple to research level.

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The generalized 3-connectivity of random graphs

TL;DR: The generalized 3-connectivity of random graphs was studied in this paper, where it was shown that for every fixed integer k ≥ 1, there is a sharp threshold function for the property of ≥ 3(G(n, p)) \geq k.
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Wire space estimation and routability analysis

TL;DR: A new stochastic model for two-dimensional layouts of large size is presented, which can be applied to gate array, field-programmable gate array design, etc.
Proceedings ArticleDOI

Fast integer linear programming based models for VLSI global routing

TL;DR: A tree pruning technique, based on the characteristics of the trees, is developed to reduce the size of the ILP problem, and consequently reduce the solution time.
Proceedings ArticleDOI

Device-level early floorplanning algorithms for RF circuits

TL;DR: Experimental results demonstrate the ability of this approach to successfully optimize for wire planarity, realize multiple constraints on net lengths or phases, and achieve reasonable area in modest CPU times.
Proceedings ArticleDOI

A timing-driven soft-macro resynthesis method in interaction with chip floorplanning

TL;DR: A timing-driven design flow to exploit the interaction between HDL synthesis and physical design tasks and incorporates a soft-macro resynthesis method in interaction with chip floorplanning for area and timing improvements.
References
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Journal ArticleDOI

Optimization by Simulated Annealing

TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
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Equation of state calculations by fast computing machines

TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
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A note on two problems in connexion with graphs

TL;DR: A tree is a graph with one and only one path between every two nodes, where at least one path exists between any two nodes and the length of each branch is given.
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Combinatorial optimization: algorithms and complexity

TL;DR: This clearly written, mathematically rigorous text includes a novel algorithmic exposition of the simplex method and also discusses the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; approximation algorithms, local search heuristics for NPcomplete problems, more.