Load Balancing in Parallel Computers

Theory and Practice

  • Chengzhong Xu 
  • Francis C. M. Lau

Table of contents

  1. Front Matter
    Pages i-xv
  2. Pages 1-19
  3. Pages 37-51
  4. Pages 79-94
  5. Pages 95-120
  6. Pages 179-186
  7. Back Matter
    Pages 187-210

About this book

Introduction

Load Balancing in Parallel Computers: Theory and Practice is about the essential software technique of load balancing in distributed memory message-passing parallel computers, also called multicomputers. Each processor has its own address space and has to communicate with other processors by message passing. In general, a direct, point-to-point interconnection network is used for the communications. Many commercial parallel computers are of this class, including the Intel Paragon, the Thinking Machine CM-5, and the IBM SP2.
Load Balancing in Parallel Computers: Theory and Practice presents a comprehensive treatment of the subject using rigorous mathematical analyses and practical implementations. The focus is on nearest-neighbor load balancing methods in which every processor at every step is restricted to balancing its workload with its direct neighbours only. Nearest-neighbor methods are iterative in nature because a global balanced state can be reached through processors' successive local operations. Since nearest-neighbor methods have a relatively relaxed requirement for the spread of local load information across the system, they are flexible in terms of allowing one to control the balancing quality, effective for preserving communication locality, and can be easily scaled in parallel computers with a direct communication network.
Load Balancing in Parallel Computers: Theory and Practice serves as an excellent reference source and may be used as a text for advanced courses on the subject.

Keywords

algorithms computer control distributed memory load balancing optimization processor

Authors and affiliations

  • Chengzhong Xu 
    • 1
  • Francis C. M. Lau
    • 2
  1. 1.Wayne State UniversityUSA
  2. 2.The University of Hong KongChina

Bibliographic information

  • DOI https://doi.org/10.1007/b102252
  • Copyright Information Kluwer Academic Publishers 1997
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-9819-6
  • Online ISBN 978-0-585-27256-6
  • Series Print ISSN 0893-3405
  • About this book