© 1991

A Code Mapping Scheme for Dataflow Software Pipelining


Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 125)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Guang R. Gao
    Pages 1-16
  3. Guang R. Gao
    Pages 17-39
  4. Guang R. Gao
    Pages 61-75
  5. Guang R. Gao
    Pages 77-87
  6. Guang R. Gao
    Pages 171-191
  7. Guang R. Gao
    Pages 211-229
  8. Guang R. Gao
    Pages 231-234
  9. Back Matter
    Pages 235-249

About this book


This monograph evolved from my Ph. D dissertation completed at the Laboratory of Computer Science, MIT, during the Summer of 1986. In my dissertation I proposed a pipelined code mapping scheme for array operations on static dataflow architectures. The main addition to this work is found in Chapter 12, reflecting new research results developed during the last three years since I joined McGill University-results based upon the principles in my dissertation. The terminology dataflow soft­ ware pipelining has been consistently used since publication of our 1988 paper on the argument-fetching dataflow architecture model at McGill University [43]. In the first part of this book we describe the static data flow graph model as an operational model for concurrent computation. We look at timing considerations for program graph execution on an ideal static dataflow computer, examine the notion of pipe lining, and characterize its performance. We discuss balancing techniques used to transform certain graphs into fully pipelined data flow graphs. In particular, we show how optimal balancing of an acyclic data flow graph can be formulated as a linear programming problem for which an optimal solution exists. As a major result, we show the optimal balancing problem of acyclic data flow graphs is reduceable to a class of linear programming problem, the net­ work flow problem, for which well-known efficient algorithms exist. This result disproves the conjecture that such problems are computationally hard.


Scheme addition algorithms character code computer data flow design form graph mathematical programming optimization pipelining programming software

Authors and affiliations

  1. 1.School of Computer ScienceMcGill UniversityUSA

Bibliographic information

  • Book Title A Code Mapping Scheme for Dataflow Software Pipelining
  • Authors Guang R. Gao
  • Series Title The Kluwer International Series in Engineering and Computer Science
  • DOI
  • Copyright Information Kluwer Academic Publishers 1991
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-7923-9130-2
  • Softcover ISBN 978-1-4613-6782-6
  • eBook ISBN 978-1-4615-3988-9
  • Series ISSN 0893-3405
  • Edition Number 1
  • Number of Pages XXI, 249
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Processor Architectures
  • Buy this book on publisher's site