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Herausgeber: 
  • Muhammad Shafique
  • Sherief Reda
  • Approximate Circuits: Methodologies and CAD 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2018  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Circuits and Systems / Computer architecture & logic design / Electronic circuits / Electronic Circuits and Systems / Electronics / Electronics and Microelectronics, Instrumentation / Electronics engineering
    ISBN:  9783319993218 
    EAN-Code: 
    9783319993218 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 33 mm 
    Gewicht:  928 gr 
    Seiten:  479 
    Illustration:  XXIX, 479 p. 222 illus., 167 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book provides readers with a comprehensive, state-of-the-art overview of approximate computing, enabling the design trade-off of accuracy for achieving better power/performance efficiencies, through the simplification of underlying computing resources.  The authors describe in detail various efforts to generate approximate hardware systems, while still providing an overview of support techniques at other computing layers. The book is organized by techniques for various hardware components, from basic building blocks to general circuits and systems.



    • Presents an overview of the approximate arithmetic building blocks that can be used for designing power/performance efficient computing units;
    • Discusses effective memory approximation techniques to employ in conventional, i.e., DRAM and SRAM, as well as emerging, i.e., PCM and STT-RAM, memory technologies, for improving performance, power, and/or energy efficiency of the memory for error resilient applications;
    • Includes an overview of hardware or software/hardware approximation techniques that operate across entire computing devices, including processors, graphical processors, and accelerators that can form a SoC with processors.
      



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