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Autor(en): 
  • Thomas Rauber
  • Gudula Rünger
  • Parallel Programming: for Multicore and Cluster Systems 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2015  
    Genre:  EDV / Informatik 
     
    B / Communications engineering / telecommunications / Communications Engineering, Networks / Computational Science and Engineering / Computer architecture & logic design / Computer Communication Networks / Computer communication systems / Computer mathematics / Computer programming / computer science / Computer system failures / Electrical Engineering / Maths for scientists / Microprocessors / Network hardware / Processor Architectures / Programming Techniques / System Performance and Evaluation / Systems analysis & design
    ISBN:  9783642438066 
    EAN-Code: 
    9783642438066 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 32 mm 
    Gewicht:  744 gr 
    Seiten:  516 
    Illustration:  XIII, 516 p. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing.

    Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added.

    The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The material presented has been used for courses in parallel programming at different universities for manyyears.

      



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