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Autor(en): 
  • Markus Müller-Olm
  • Variations on Constants: Flow Analysis of Sequential and Parallel Programs 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Oktober 2006  
    Genre:  EDV / Informatik 
     
    Algorithm / Algorithms / Algorithmus / Automat / Compiler / complexity / complexitytheory / Processing
    ISBN:  9783540453857 
    EAN-Code: 
    9783540453857 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #3800 - Lecture Notes in Computer Science
    Programming and Software Engineering  
    Dimensionen:  H 235 mm / B 155 mm / D 11 mm 
    Gewicht:  306 gr 
    Seiten:  196 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Program analysis is concerned with techniques that automatically determine run-time properties of given programs prior to run-time. It is used for validation in order to ensure that programs serve their intended purpose and in further processing for efficient execution such as in optimizing compilers. Optimal program analysis provides a guarantee about the precision of the computed results.

    This monograph, a revised version of the author's habilitation thesis, focusses on optimal flow analysis of sequential and parallel programs. It studies algorithmic properties of various versions of the well-known constant-propagation problem. In order to come to grips with the variants considered, it combines techniques from different areas such as linear algebra, computable ring theory, abstract interpretation, program verification, complexity theory, etc. Combination of techniques is the key to further progress in automatic analysis and constant-propagation allows us to illustrate this point in a theoretical study.

    After a general overview, the monograph consists of three essentially self-contained parts that can be read independently of each other. These parts study: a hierarchy of constants in sequential programs, inherent limits of flow analysis of parallel programs, and how to overcome these limits by abandoning a classic atomic execution assumption.

      



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