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Dynamic Reconfiguration: Architectures and Algorithms: Series in Computer Science

Autor Ramachandran Vaidyanathan, Jerry Trahan
en Limba Engleză Paperback – 26 apr 2013
Dynamic Reconfiguration: Architectures and Algorithms offers a comprehensive treatment of dynamically reconfigurable computer architectures and algorithms for them. The coverage is broad starting from fundamental algorithmic techniques, ranging across algorithms for a wide array of problems and applications, to simulations between models. The presentation employs a single reconfigurable model (the reconfigurable mesh) for most algorithms, to enable the reader to distill key ideas without the cumbersome details of a myriad of models. In addition to algorithms, the book discusses topics that provide a better understanding of dynamic reconfiguration such as scalability and computational power, and more recent advances such as optical models, run-time reconfiguration (on FPGA and related platforms), and implementing dynamic reconfiguration. The book, featuring many examples and a large set of exercises, is an excellent textbook or reference for a graduate course. It is also a useful reference to researchers and system developers in the area.
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Specificații

ISBN-13: 9781475777697
ISBN-10: 1475777698
Pagini: 540
Ilustrații: XXIII, 512 p.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.75 kg
Ediția:2003
Editura: Springer Us
Colecția Springer
Seria Series in Computer Science

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Basics.- Principles and Issues.- The Reconfigurable Mesh: A Primer.- Models of Reconfiguration.- Algorithms.- Arithmetic on The R-Mesh.- Sorting and Selection.- Graph Algorithms.- COmputational Geometry & Image Processing.- Simulations and Complexity.- Model and Algorithmic Scalability.- Computational Complexity of Reconfiguration.- Other Reconfigurable Architectures.- OPtical Reconfigurable Models.- Run-time Reconfiguration.

Caracteristici

Discusses topics that provide a better understanding of dynamic reconfiguration such as scalability and computational power, and more recent advances such as optical models, run-time reconfiguration (on FPGA and related platforms), and implementing dynamic reconfiguration