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University of Illinois at Urbana-Champaign

Job scheduling on high performance computer systems: Complexity and algorithms

Abstract

dc:description

The problem of job scheduling on Partitionable Massively Parallel Processor (PMPP) Systems is studied in this dissertation. The objective of the scheduling problem is to minimize the makespan or the total completion time. Key system features include the following: (1) the number of processors K is large relative to the number of jobs n (K $\ge$ 2n), (2) the processing time of a job depends on the number of processors assigned to it, and (3) unlimited repartitioning of the processors is allowed.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Engineering, Industrial
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhang, Yi
Contributors dc:contributor
  • Palekar, Udatta S.
  • Johnson, M.A.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright 1995 Zhang, Yi
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9624547
(UMI)AAI9624547
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/23750

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Zhang, Yi. Job scheduling on high performance computer systems: Complexity and algorithms. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/23750