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Permanent link (DOI): https://doi.org/10.7939/R3F37K

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Jole: a library for dynamic job-level parallel workloads Open Access

Descriptions

Other title
Subject/Keyword
workflow
jole
placeholder
workload
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Patterson, Jordan
Supervisor and department
Lu, Paul (Computing Science)
Examining committee member and department
Carbonaro, Mike (Educational Psychology)
Nascimento, Mario (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2009-10-02T16:11:53Z
Graduation date
2009-11
Degree
Master of Science
Degree level
Master's
Abstract
Problems in scientific computing often consist of a workload of jobs with dependencies between them. Batch schedulers are job-oriented, and are not well-suited to executing these workloads with complex dependencies. We introduce Jole, a Python library created to run these workloads. Jole has three contributions that allow flexibility not possible with a batch scheduler. First, dynamic job execution allows control and monitoring of jobs as they are running. Second, dynamic workload specification allows the creation of workloads that can adjust their execution while running. Lastly, dynamic infrastructure aggregation allows workloads to take advantage of additional resources as they become available. We evaluate Jole using GAFolder, a protein structure prediction tool. We show that our contributions can be used to create GAFolder workloads that use less cluster resources, iterate on global protein structures, and take advantage of additional cluster resources to search more thoroughly.
Language
English
DOI
doi:10.7939/R3F37K
Rights
License granted by Jordan Patterson (jordan@cs.ualberta.ca) on 2009-10-01T05:12:42Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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