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Herausgeber: 
  • Albert Y. Zomaya
  • Jesus Carretero
  • Emmanuel Jeannot
  • Ultrascale Computing Systems 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  März 2019  
    Genre:  EDV / Informatik 
     
    Computers - General Information / COMPUTERS / Systems Architecture / Distributed Systems & Computing
    ISBN:  9781785618338 
    EAN-Code: 
    9781785618338 
    Verlag:  Institution of Engineering & Technology 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Computing and Networks  
    Dimensionen:  H 240 mm / B 161 mm / D 21 mm 
    Gewicht:  651 gr 
    Seiten:  320 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The needs of future digital data and computer systems are expected to be two to three orders of magnitude larger than for today's systems, to take account of unprecedented amounts of heterogeneous hardware, lines of source code, numbers of users, and volumes of data. Ultrascale computing systems (UCS) are a solution. Envisioned as large-scale complex systems joining parallel and distributed computing systems, which can be located at multiple sites and cooperate to provide the required resources and performance to the users, these technologies will extend individual systems to provide the resources that are very much needed.
    Based on the research work in the COST Action IC 1305 Network for Sustainable Ultrascale Computing (NESUS) this book presents important results and methods towards achieving sustainable UCS. The authors present a wide range of emerging programming models that facilitate the task of scaling and extracting performance on continuously evolving platforms, while providing resilience and fault-tolerant mechanisms to tackle the increasing probability of failures throughout the entire software stack. These methods are needed to achieve scale handling, better programmability and adaptation to rapidly changing underlying computing architecture, data centric programming models, resilience, and energy-efficiency.

      



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