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Download ~ Fine- and Coarse-Grain Reconfigurable Computing * by Stamatis Vassiliadis & Dimitrios Soudris ~ Book PDF Kindle ePub Free

Fine- and Coarse-Grain Reconfigurable Computing

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eBook details

  • Title: Fine- and Coarse-Grain Reconfigurable Computing
  • Author : Stamatis Vassiliadis & Dimitrios Soudris
  • Release Date : January 24, 2007
  • Genre: Engineering,Books,Professional & Technical,Computers & Internet,Computers,Software,
  • Pages : * pages
  • Size : 15050 KB

Description

Fine- and Coarse-Grain Reconfigurable Computing gives the basic concepts and building blocks for the design of Fine- (or FPGA) and Coarse-Grain Reconfigurable Architectures. Recently-developed integrated architecture design and software-supported design flow of FPGA and coarse-grain reconfigurable architecture are also described. 
Part I consists of two extensive surveys of FPGA and Coarse-Grain Reconfigurable Architectures:
The FPGA technology is defined, which includes architecture, logic block structure, interconnect, and configuration methods and existing fine-grain reconfigurable architectures emerged from both academia and industry. Additionally, the implementation techniques and CAD tools developed to facilitate the implementation of a system in reconfigurable hardware by the industry and academia are provided.
In addition the features, the advantages and limitations of the coarse-grain reconfigurable systems, the specific issues that should be addressed during the design phase, as well as representative existing coarse-grain reconfigurable systems are explained.
In Part II, case studies, innovative research results about reconfigurable architectures and design frameworks from three projects AMDREL, MOLEN and ADRES&DRESC, and, a new classification according to microcoded architectural criteria are described.
Fine- and Coarse-Grain Reconfigurable Computing is an essential reference for researchers and professionals and can be used as a textbook by undergraduate, graduate students and professors.
Foreword by Yale Patt, Jim Smith and Mateo Valero


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