Job Scheduling Strategies for Parallel Processing

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

By: Dror G. Feitelson (Editor), Larry Rudolph (Editor)

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Paperback | 19 July 1995

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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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Non-Fiction Computing & I.T.Computer Science Computer Architecture & Logic Design Parallel Processing Business & Management Operational Research Operating Systems Computer Programming & Software Development Algorithms & Data Structures Systems Analysis & Design Computer Hardware

Computer Networking & Communications EDI Electronic Data Interchange Medicine Medicine in General

Parallel Job Scheduling: Issues and Approaches	p. 1
Scheduling on the Tera MTA	p. 19
A Scalable Multi-Discipline, Multiple-Processor Scheduling Framework for IRIX	p. 45
Scheduling to Reduce Memory Coherence Overhead on Coarse-Grain Multiprocessors	p. 70
Time Space Sharing Scheduling and Architectural Support	p. 92
Demand-Based Coscheduling of Parallel Jobs on Multiprogrammed Multiprocessors	p. 106
Multiprocessor Scheduling for High-Variability Service Time Distributions	p. 127
The Interaction between Memory Allocation and Adaptive Partitioning in Message-Passing Multicomputers	p. 146
Analysis of Non-Work-Conserving Processor Partitioning Policies	p. 165
Loop-Level Process Control: An Effective Processor Allocation Policy for Multiprogrammed Shared-Memory Multiprocessors	p. 182
A Microeconomic Scheduler for Parallel Computers	p. 200
On the Benefits and Limitations of Dynamic Partitioning in Parallel Computer Systems	p. 219
Intelligent Fuzzy Control to Augment Scheduling Capabilities of Network Queuing Systems	p. 239
Parallel Processing on Dynamic Resources with CARMI	p. 259
Job Scheduling Under the Portable Batch System	p. 279
The ANL/IBM SP Scheduling System	p. 295
Requirements of the Cornell Theory Center for Resource Management and Process Scheduling	p. 304
Job Management Requirements for NAS Parallel Systems and Clusters	p. 319
Job Characteristics of a Production Parallel Scientific Workload on the NASA Ames iPSC/860	p. 337
Author Index	p. 361
Table of Contents provided by Blackwell. All Rights Reserved.

Job Scheduling Strategies for Parallel Processing

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

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