Virtualized Research Environments on the bwForCluster NEMO

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dc.contributor.author Janczyk, Michael
dc.contributor.author Wiebelt, Bernd
dc.contributor.author von Suchodoletz, Dirk
dc.date.accessioned 2018-08-22T14:00:55Z
dc.date.available 2018-08-22T14:00:55Z
dc.date.issued 2018-08-14
dc.identifier.other 510364640
dc.identifier.uri http://hdl.handle.net/10900/83815
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-838157 de_DE
dc.identifier.uri http://dx.doi.org/10.15496/publikation-25205
dc.description.abstract The bwForCluster NEMO offers high performance computing resources to three quite different scientific communities (Elementary Particle Physics, Neuroscience and Microsystems Engineering) encompassing more than 200 individual researchers. To provide a broad range of software packages and deal with the individual requirements, the NEMO operators seek novel approaches to cluster operation [1]. Virtualized Research Environments (VREs) can help to both separate different software environments as well as the responsibilities for maintaining the software stack. Research groups become more independent from the base software environment defined by the cluster operators. Operating VREs brings advantages like scientific reproducibility, but may introduce caveats like lost cycles or the need for layered job scheduling. VREs might open advanced possibilities as e.g. job migration or checkpointing. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en en
dc.subject.classification Hochleistungsrechnen de_DE
dc.subject.ddc 000 de_DE
dc.subject.ddc 004 de_DE
dc.title Virtualized Research Environments on the bwForCluster NEMO en
dc.type ConferencePaper de_DE
utue.publikation.fachbereich Zentrum für Datenverarbeitung de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE

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