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Job Scheduling Strategies for Parallel Processing

IPPS '95 Workshop, Santa Barbara, CA, USA, April 25, 1995. Proceedings

  • Conference proceedings
  • © 1995

Overview

Editors:
  1. Dror G. Feitelson
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  2. Larry Rudolph
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 949)

Included in the following conference series:

Conference proceedings info: JSSPP 1995.

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Table of contents (19 papers)

  1. Front Matter

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  2. Parallel job scheduling: Issues and approaches

    • Dror G. Feitelson, Larry Rudolph
    Pages 1-18

  3. Scheduling on the Tera MTA

    • Gail Alverson, Simon Kahan, Richard Korry, Cathy McCann, Burton Smith
    Pages 19-44

  4. A scalable multi-discipline, multiple-processor scheduling framework for IRIX

    • James M. Barton, Nawaf Bitar
    Pages 45-69

  5. Scheduling to reduce memory coherence overhead on coarse-grain multiprocessors

    • Christopher Connelly, Caria Schlatter Ellis
    Pages 70-91

  6. Time Space Sharing Scheduling and architectural support

    • Atsushi Hori, Takashi Yokota, Yutaka Ishikawa, Shuichi Sakai, Hiroki Konaka, Munenori Maeda et al.
    Pages 92-105

  7. Demand-based coscheduling of parallel jobs on multiprogrammed multiprocessors

    • Patrick G. Sobalvarro, William E. Weihl
    Pages 106-126

  8. Multiprocessor scheduling for high-variability service time distributions

    • Eric W. Parsons, Kenneth C. Sevcik
    Pages 127-145

  9. The interaction between memory allocation and adaptive partitioning in message-passing multicomputers

    • Sanjeev K. Setia
    Pages 146-164

  10. Analysis of non-work-conserving processor partitioning policies

    • E. Rosti, E. Smirni, G. Serazzi, L. W. Dowdy
    Pages 165-181

  11. Loop-Level Process Control: An effective processor allocation policy for multiprogrammed shared-memory multiprocessors

    • Kelvin K. Yue, David J. Lilja
    Pages 182-199

  12. A microeconomic scheduler for parallel computers

    • Ion Stoica, Hussein Abdel-Wahab, Alex Pothen
    Pages 200-218

  13. On the benefits and limitations of dynamic partitioning in parallel computer systems

    • Mark S. Squillante
    Pages 219-238

  14. Intelligent fuzzy control to augment scheduling capabilities of network queuing systems

    • Oscar Kipersztok, James C. Patterson
    Pages 239-258

  15. Parallel processing on dynamic resources with CARMI

    • Jim Pruyne, Miron Livny
    Pages 259-278

  16. Job scheduling under the Portable Batch System

    • Robert L. Henderson
    Pages 279-294

  17. The ANL/IBM SP scheduling system

    • David A. Lifka
    Pages 295-303

  18. Requirements of the Cornell Theory Center for resource management and process scheduling

    • Marcy E. Rosenkrantz, David J. Schneider, Roslyn Leibensperger, Melinda Shore, John Zollweg
    Pages 304-318

  19. Job management requirements for nas parallel systems and clusters

    • William Saphir, Leigh Ann Tanner, Bernard Traversat
    Pages 319-336

  20. Job characteristics of a production parallel scientific workload on the NASA Ames iPSC/860

    • Dror G. Feitelson, Bill Nitzberg
    Pages 337-360
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  1. Job Scheduling Strategies for Parallel Processing

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About this book

This volume contains the papers selected after a very careful refereeing process for presentation during the Workshop on Job Scheduling Stategies for Parallel Processing, held in Santa Barbara, California, as a prelude to the IPPS '95 conference in April 1995.
The 19 full papers presented demonstrate that parallel job scheduling takes on a crucial role as multi-user parallel supercomputers become more widespread. All aspects of job scheduling for parallel systems are covered, from the perspectives of academic research, industrial design of parallel systems, as well as user needs. Of particular interest, also for nonexpert readers, is the introductory paper "Parallel Job Scheduling: Issues and Approaches" by the volume editors.

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