Loop Parallelization

  • Utpal Banerjee

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Utpal Banerjee
    Pages 1-28
  3. Utpal Banerjee
    Pages 29-65
  4. Utpal Banerjee
    Pages 67-112
  5. Utpal Banerjee
    Pages 113-146
  6. Utpal Banerjee
    Pages 147-165
  7. Back Matter
    Pages 167-174

About this book


Automatic transformation of a sequential program into a parallel form is a subject that presents a great intellectual challenge and promises a great practical award. There is a tremendous investment in existing sequential programs, and scientists and engineers continue to write their application programs in sequential languages (primarily in Fortran). The demand for higher speedups increases. The job of a restructuring compiler is to discover the dependence structure and the characteristics of the given machine. Much attention has been focused on the Fortran do loop. This is where one expects to find major chunks of computation that need to be performed repeatedly for different values of the index variable. Many loop transformations have been designed over the years, and several of them can be found in any parallelizing compiler currently in use in industry or at a university research facility.
The book series on KappaLoop Transformations for Restructuring Compilerskappa provides a rigorous theory of loop transformations and dependence analysis. We want to develop the transformations in a consistent mathematical framework using objects like directed graphs, matrices, and linear equations. Then, the algorithms that implement the transformations can be precisely described in terms of certain abstract mathematical algorithms. The first volume, Loop Transformations for Restructuring Compilers: The Foundations, provided the general mathematical background needed for loop transformations (including those basic mathematical algorithms), discussed data dependence, and introduced the major transformations. The current volume, Loop Parallelization, builds a detailed theory of iteration-level loop transformations based on the material developed in the previous book.


DEX Fortran Permutation Turing Volume algorithms character compiler equation graphs matrices mutation object university variable

Authors and affiliations

  • Utpal Banerjee
    • 1
  1. 1.Intel CorporationUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag US 1994
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-5141-0
  • Online ISBN 978-1-4757-5676-0
  • Buy this book on publisher's site