Jole: a library for dynamic job-level parallel workloads

Jole: a library for dynamic job-level parallel workloads

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...

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Bibliographic Details
Main Author:	Patterson, Jordan
Other Authors:	Lu, Paul (Computing Science)
Format:	Others
Language:	en
Published:	2009
Subjects:	placeholder workflow workload jole
Online Access:	http://hdl.handle.net/10048/727

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