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Herausgeber: 
  • Omer F. Rana
  • Yi Pan
  • Haj Jin
  • Victor K. Prasanna
  • Algorithms and Architectures for Parallel Processing: 7th International Conference, ICA3PP 2007, Hangzhou, China, June 11-14, 2007, Proceedings 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2007  
    Genre:  EDV / Informatik 
     
    Algorithm Analysis and Problem Complexity / Algorithmen und Datenstrukturen / Algorithms / Algorithms & data structures / Architecture, Computer / C / Computation by Abstract Devices / Computer Engineering and Networks
    ISBN:  9783540729044 
    EAN-Code: 
    9783540729044 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #4494 - Lecture Notes in Computer Science
    Theoretical Computer Science and General Issues  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  801 gr 
    Seiten:  514 
    Illustration:  XIV, 514 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Parallel and distributed computing in the 1980s and 1990s had great in?uence onapplication developmentin science, engineering andbusiness computing. The improvements in computation and communication capabilities have enabled the creation of demanding applications in critical domains such as the environment, health, aerospace, and other areas of science and technology. Similarly, new classesofapplicationsareenabledbytheavailabilityofheterogeneouslarge-scale distributed systems which are becoming available nowadays (based on techno- giessuchasgridandpeer-to-peersystems).Parallelcomputingsystemsexploita large diversity of computer architectures, from supercomputers, shared-memory or distributed-memory multi processors, to local networks and clusters of p- sonal computers. With the recent emergence of multi core architectures, parallel computing is now set to achieve "mainstream" status. Approaches that have been advocated by parallelcomputing researchersin the past are now being utilized in a number of software libraries and hardware systems that are available for everyday use. Parallel computing ideas have also come to dominate areas such as multi user gaming (especially in the development of gaming engines based on "cell" arc- tectures) - often ignored by many "serious" researchers in the past, but which now are set to have a growing user base of tens of millions across the world. In recent years, focus has also shifted to support energy e?ciency in com- tation, with some researchers proposing a new metric of performance based on Flops/Watt.
      



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