000137743 001__ 137743
000137743 005__ 20210129212104.0
000137743 0247_ $$2doi$$a10.1109/ICPP.2013.92
000137743 0247_ $$2WOS$$aWOS:000330046000083
000137743 037__ $$aFZJ-2013-04069
000137743 1001_ $$0P:(DE-Juel1)132139$$aHoll, Sonja$$b0$$eCorresponding author
000137743 1112_ $$aNinth International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems$$cLyon$$d2013-10-01 - 2013-10-01$$gSRMPDS$$wFrance
000137743 245__ $$aEnhanced Resource Management enabling Standard Parameter Sweep Jobs for Scientific Applications
000137743 260__ $$bIEEE$$c2013
000137743 29510 $$aInternational Conference on Parallel Processing - The 42nd Annual Conference ICPP 2013
000137743 300__ $$a783 - 790
000137743 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1389087277_8148
000137743 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000137743 3367_ $$033$$2EndNote$$aConference Paper
000137743 3367_ $$2ORCID$$aCONFERENCE_PAPER
000137743 3367_ $$2DataCite$$aOutput Types/Conference Paper
000137743 3367_ $$2DRIVER$$aconferenceObject
000137743 3367_ $$2BibTeX$$aINPROCEEDINGS
000137743 520__ $$aParameter sweeps are used by researchers with scientific domain-specific tools or workflows to submit a large collection of computational jobs whereby each single job of it only varies in certain parts. They require a more fine-grained distribution of jobs across resources, which also raise a significant challenge for efficient resource management in middleware environments that have been not specifically designed to perform parameter sweeps. This paper offers insights into parameter sweep solutions that support multi-disciplinary science environments via abstraction from resource management complexities using middleware. The solutions are based on use case requirements, enable efficient submission, enhanced usability, and standard compliance. We also apply a use case taken from the life science domain to demonstrate usefulness and efficiency of the solutions.
000137743 536__ $$0G:(DE-HGF)POF2-412$$a412 - Grid Technologies and Infrastructures (POF2-412)$$cPOF2-412$$fPOF II$$x0
000137743 7001_ $$0P:(DE-Juel1)132190$$aMemon, Mohammad Shahbaz$$b1
000137743 7001_ $$0P:(DE-Juel1)132261$$aSchuller, Bernd$$b2
000137743 7001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b3
000137743 7001_ $$0P:(DE-HGF)0$$aMohammed, Yassene$$b4
000137743 7001_ $$0P:(DE-HGF)0$$aPalmblad, Magnus$$b5
000137743 7001_ $$0P:(DE-HGF)0$$aGrimshaw, Andrew$$b6
000137743 773__ $$a10.1109/ICPP.2013.92
000137743 8564_ $$uhttps://juser.fz-juelich.de/record/137743/files/FZJ-2013-04069.pdf$$yRestricted
000137743 909CO $$ooai:juser.fz-juelich.de:137743$$pVDB
000137743 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132139$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000137743 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132190$$aForschungszentrum Jülich GmbH$$b1$$kFZJ
000137743 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132261$$aForschungszentrum Jülich GmbH$$b2$$kFZJ
000137743 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132239$$aForschungszentrum Jülich GmbH$$b3$$kFZJ
000137743 9132_ $$0G:(DE-HGF)POF3-512$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data $$vData-Intensive Science and Federated Computing$$x0
000137743 9131_ $$0G:(DE-HGF)POF2-412$$1G:(DE-HGF)POF2-410$$2G:(DE-HGF)POF2-400$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bSchlüsseltechnologien$$lSupercomputing$$vGrid Technologies and Infrastructures$$x0
000137743 9141_ $$y2013
000137743 920__ $$lyes
000137743 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000137743 980__ $$acontrib
000137743 980__ $$aVDB
000137743 980__ $$aUNRESTRICTED
000137743 980__ $$acontb
000137743 980__ $$aI:(DE-Juel1)JSC-20090406