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Symbolic Parallelization of Nested Loop Programs

  • Alexandru-Petru Tanase
  • Frank Hannig
  • Jürgen Teich

Table of contents

  1. Front Matter
    Pages i-xii
  2. Alexandru-Petru Tanase, Frank Hannig, Jürgen Teich
    Pages 1-7
  3. Alexandru-Petru Tanase, Frank Hannig, Jürgen Teich
    Pages 9-36
  4. Alexandru-Petru Tanase, Frank Hannig, Jürgen Teich
    Pages 37-92
  5. Alexandru-Petru Tanase, Frank Hannig, Jürgen Teich
    Pages 93-122
  6. Alexandru-Petru Tanase, Frank Hannig, Jürgen Teich
    Pages 123-153
  7. Alexandru-Petru Tanase, Frank Hannig, Jürgen Teich
    Pages 155-158
  8. Back Matter
    Pages 159-176

About this book

Introduction

This book introduces new compilation techniques, using the polyhedron model for the resource-adaptive parallel execution of loop programs on massively parallel processor arrays. The authors show how to compute optimal symbolic assignments and parallel schedules of loop iterations at compile time, for cases where the number of available cores becomes known only at runtime. The compile/runtime symbolic parallelization approach the authors describe reduces significantly the runtime overhead, compared to dynamic or just‐in-time compilation. The new, on‐demand fault‐tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors. 

Keywords

Invasive Computing Heterogeneous Multiprocessor-On-A-Chip Parallel Computing Polyhedron Model Compiler Optimizations

Authors and affiliations

  • Alexandru-Petru Tanase
    • 1
  • Frank Hannig
    • 2
  • Jürgen Teich
    • 3
  1. 1.Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)ErlangenGermany
  2. 2.Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)ErlangenGermany
  3. 3.Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)ErlangenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-73909-0
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-73908-3
  • Online ISBN 978-3-319-73909-0
  • Buy this book on publisher's site
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