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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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Citations
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Proceedings ArticleDOI

A multilevel eigenvalue based circuit partitioning technique

TL;DR: This paper presents an eigenvalue based multilevel partitioning algorithm that uses a matrix reordering technique to produce a minimal bandwidth matrix, relying upon matrix sparsity.

Frequency Characterization of Si, SiC,and GaN MOSFETs Using Buck ConverterIn CCM as an Application

TL;DR: Gopalakrishna et al. as mentioned in this paper compared the performance of Si, SiC, and GaN-based power devices in a buck DC-DC converter and showed that GaN based power devices have improved operational capabilities at high frequencies than those of Si and SiC.
Proceedings ArticleDOI

Comparing simulation techniques for microarchitecture-aware floorplanning

TL;DR: This work study and compare two techniques, reduced input sets and statistical sampling, in the context of microarchitecture-aware floorplanning, a physical design stage, where the objective is to find an IPC-optimal global placement of the blocks of a microprocessor.
Journal Article

Improvement of the quality of vlsi circuit partitioning problem using genetic algorithm

TL;DR: The main superiority of the circuit partitioning using genetics algorithm is “the authors can easily multiway partitioning in many types of VLSI circuit” and the proposed method in solving NP-hard problem.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.