Cluster Computing with OpenHPC

dc.contributor.authorSchulz, Karl W.
dc.contributor.authorBaird, C. Reese
dc.contributor.authorBrayford, David
dc.contributor.authorGeorgiou, Yiannis
dc.contributor.authorKurtzer, Gregory M.
dc.contributor.authorSimmel, Derek
dc.contributor.authorSterling, Thomas
dc.contributor.authorSundararajan, Nirmala
dc.contributor.authorVan Hensbergen, Eric
dc.date.accessioned2016-11-14T16:32:52Z
dc.date.available2016-11-14T16:32:52Z
dc.date.issued2016-11-14
dc.description.abstractOpenHPC is a newly formed, community-based project that is providing an integrated collection of HPC-centric software components that can be used to implement a full-featured reference HPC compute resource. Components span the entire HPC software ecosystem including provisioning and system administration tools, resource management, I/O services, development tools, numerical libraries, and performance analysis tools. Common clustering tools and scientific libraries are distributed as pre-built and validated binaries and are meant to seamlessly layer on top of existing Linux distributions. The architecture of OpenHPC is intentionally modular to allow end users to pick and choose from the provided components, as well as to foster a community of open contribution. This paper presents an overview of the underlying community vision, governance structure, packaging conventions, build and release infrastructure and validation methodologies.
dc.identifier.urihttps://hdl.handle.net/2022/21082
dc.language.isoen_US
dc.relation.ispartofseriesHPCSYSPROS16;4
dc.rightsThis 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.
dc.rights.urihttp://creativecommons.org/licenses/by/3.0
dc.titleCluster Computing with OpenHPC
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
HPCSYSPROS16_Paper 4_Schulz et al.pdf
Size:
292.11 KB
Format:
Adobe Portable Document Format
Description:
Can’t use the file because of accessibility barriers? Contact us