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Handbook of Algorithms for Physical Design Automation

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TLDR
Handbook of Algorithms for Physical Design Automation provides a detailed overview of VLSI physical design automation, emphasizing state-of-the-art techniques, trends and improvements that have emerged during the previous decade.
Abstract
The physical design flow of any project depends upon the size of the design, the technology, the number of designers, the clock frequency, and the time to do the design. As technology advances and design-styles change, physical design flows are constantly reinvented as traditional phases are removed and new ones are added to accommodate changes in technology. Includes a personal perspective from Ralph Otten as he looks back on the major technical milestones in the history of physical design automation. Explore State-of-the-Art Techniques and TrendsHandbook of Algorithms for Physical Design Automation provides a detailed overview of VLSI physical design automation, emphasizing state-of-the-art techniques, trends and improvements that have emerged during the previous decade. After a brief introduction to the modern physical design problem, basic algorithmic techniques, and partitioning, the book discusses significant advances in floorplanning representations and describes recent formulations of the floorplanning problem. The text also addresses issues of placement, net layout and optimization, routing multiple signal nets, manufacturability, physical synthesis, special nets, and designing for specialized technologies. Highly-Focused Information for Next Generation Design Problems Although several books on this topic are currently available, most are either too broad or out of date. Alternatively, proceedings and journal articles are valuable resources for researchers in this area, but the material is widely dispersed in the literature. This handbook pulls together a broad variety of perspectives on the most challenging problems in the field, and focuses on emerging problems and research results.

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Book ChapterDOI

Hybrid Approach for VLSI Fragments Placement

TL;DR: A hybrid approach based on two fractals aggregation and genetic search methods is suggested to reduce dimension of the problem and develop a genetic algorithm that allows to obtain sets quazi-optimal solutions during polynomial time.
Proceedings ArticleDOI

A Nonlinear Analytical Optimization Method for Standard Cell Placement of VLSI Circuits

TL;DR: An analytical method to perform VLSI standard cell placement using conjugate gradient method for solving non-linear equations for the problem and results show promising results.
Book ChapterDOI

VLSI Planning Based on the Ant Colony Method

TL;DR: New technologies, principles and mechanisms for solving the planning problem, using mathematical methods, which lay down the principles of natural decision-making mechanisms are proposed, and a Polish expression is used.
Proceedings ArticleDOI

Evaluating the impact of circuit legalization on incremental optimization techniques

TL;DR: Experimental results show that incremental legalization is from 22% to 71% faster than a single final legalization step and achieves similar density and wirelength profiles, but may increase timing violations up to 48% (9% on average), and alternatives to improve the quality of incremental legalization techniques are pointed out.
Book ChapterDOI

Parametric Optimization Based on Bacterial Foraging Optimization

TL;DR: A stochastic algorithm based on foraging behavior of E.coli bacteria is developed to solve the parametric optimization problem of technical objects and results show perspective of this approach.
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