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Artikel-Nr. 19648713


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Autor(en): 
  • Swarup Bhunia
  • Somnath Paul
  • Computing with Memory for Energy-Efficient Robust Systems 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2016  
    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:  9781493948192 
    EAN-Code: 
    9781493948192 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  472 gr 
    Seiten:  210 
    Illustration:  XIII, 210 p. 73 illus., 41 illus. in color., farbige Illustrationen, schwarz-weiss 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 analyzes energy and reliability as major challenges faced by designers of computing frameworks in the nanometer technology regime.  The authors describe the existing solutions to address these challenges and then reveal a new reconfigurable computing platform, which leverages high-density nanoscale memory for both data storage and computation to maximize the energy-efficiency and reliability. The energy and reliability benefits of this new paradigm are illustrated and the design challenges are discussed. Various hardware and software aspects of this exciting computing paradigm are described, particularly with respect to hardware-software co-designed frameworks, where the hardware unit can be reconfigured to mimic diverse application behavior.  Finally, the energy-efficiency of the paradigm described is compared with other, well-known reconfigurable computing platforms. ·         Introduces new paradigm for hardware reconfigurable frameworks, which leverages dense memory array as a malleable resource, which can be used for information storage as well as computation;·         Merges spatial and temporal computing to minimize interconnect overhead and achieve better scalability compared to state-of-the-art reconfigurable computing platforms;·         Enables efficient mapping of diverse data-intensive applications from domains of signal processing, multimedia and security applications.
      



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