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Herausgeber: 
  • Janusz S. Kowalik
  • Parallel MIMD Computation: HEP Supercomputer and Its Applications 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Juni 1985  
    Genre:  Ratgeber 
    ISBN:  9780262611893 
    EAN-Code: 
    9780262611893 
    Verlag:  MIT Press 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 280 mm / B 216 mm / D 24 mm 
    Gewicht:  1085 gr 
    Seiten:  434 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    Fifteen original contributions from experts in high-speed computation on multi-processor architectures, concurrent programming and parallel algorithms.

    Experts in high-speed computation agree that the rapidly growing demand for more powerful computers can only be met by a radical change in computer architecture, a change from a single serial processor to an aggregation of many processors working in parallel. At present, our knowledge about multi-processor architectures, concurrent programming or parallel algorithms is very limited. This book discusses all three subjects in relation to the HEP supercomputer that can handle multiple instruction streams and multiple data streams (MIMD). The HEP multiprocessor is an innovative general purpose computer, easy to use by anybody familiar with FORTRAN. Following a preface by the editor, the book's fifteen original contributions are divided into four sections: The HEP Architecture and Systems Software; The HEP Performance; Programming and Languages; and Applications of the HEP Computer. An appendix describes the use of monitors in FORTRAN, providing a tutorial on the barrier, self-scheduling DO loop, and Askfor monitors.

    J. S. Kowalik, who has contributed a chapter with S. P. Kumar on Parallel Algorithms for Recurrence and Tridiagonal Linear Equations, is a manager in Boeing Computer Services' Artificial Intelligence Center in Seattle.MIMD Computation is included in the Scientific Computation Series, edited by Dennis Cannon.

      



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