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dc.contributor.author Islam, Sharif en
dc.contributor.author Bode, Brett en
dc.contributor.author Enos, Jeremy en
dc.date.accessioned 2016-11-14T16:28:50Z en
dc.date.available 2016-11-14T16:28:50Z en
dc.date.issued 2016-11-14 en
dc.identifier.uri http://hdl.handle.net/2022/21080 en
dc.description.abstract This paper describes resource management and job scheduling best practices learned from operating Blue Waters (a petascale Cray XE+XK supercomputer with 26,864 compute nodes) since April 2013. We will describe various aspects of such operation while focusing on the challenges experienced while maintaining a large, shared computational resource such as Blue Waters. en
dc.language.iso en_US en
dc.relation.ispartofseries HPCSYSPROS16;3 en
dc.rights This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). This license includes the following terms: You are free to share - to copy, distribute and transmit the work and to remix - to adapt the work under the following conditions: attribution - you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work. en
dc.rights.uri http://creativecommons.org/licenses/by/3.0 en
dc.subject Job scheduling, torque, moab, scheduler best practices en
dc.title Blue Waters Resource Management and Job Scheduling Best Practices en
dc.type Article en


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