000837482 001__ 837482
000837482 005__ 20210129231341.0
000837482 020__ $$a978-1-61499-729-0
000837482 020__ $$a9781614997290 (print)
000837482 037__ $$aFZJ-2017-06395
000837482 041__ $$aEnglish
000837482 1001_ $$0P:(DE-HGF)0$$aClauss, Carsten$$b0$$eCorresponding author
000837482 1112_ $$aWorkshop on Co-Scheduling$$cPrague$$d2016-01-18 - 2016-01-20$$gCOSH 2016$$wCzech Republic
000837482 245__ $$aAllocation-Internal Co-Scheduling - Interaction and Orchestration of Multiple Concurrent MPI Sessions
000837482 260__ $$aAmsterdam$$bIOS Press BV$$c2017
000837482 29510 $$aCo-Scheduling of HPC Applications
000837482 300__ $$a46 - 68
000837482 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$mcontrib
000837482 3367_ $$2ORCID$$aBOOK_CHAPTER
000837482 3367_ $$07$$2EndNote$$aBook Section
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000837482 3367_ $$2BibTeX$$aINBOOK
000837482 3367_ $$2DataCite$$aOutput Types/Book chapter
000837482 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$bcontb$$mcontb$$s1505473767_21925
000837482 4900_ $$aAdvances in Parallel Computing$$v28
000837482 520__ $$aHeading towards exascale, the challenges for process management with respect to flexibility and efficiency grow accordingly. Running more than one application simultaneously on a node can be the solution for better resource utilization. However, this approach of co-scheduling can also be the way to go for gaining a degree of flexibility with respect to process management that can enable some kind of interactivity even in the domain of high-performance computing. This chapter gives an introduction into such co-scheduling policies for running multiple MPI sessions concurrently and interactively within a single user allocation. The chapter initially introduces a taxonomy for classifying the different characteristics of such a flexible process management, and discusses actual manifestations thereof during the course of the reading. In doing so, real world examples are motivated and presented by means of ParaStation MPI, a high-performance MPI library supplemented by a complete framework comprising a scalable and dynamic process manager. In particular, four scheduling policies, implemented in ParaStation MPI, are detailed and evaluated by applying a benchmarking tool that has especially been developed for measuring interactivity and dynamicity metrics of job schedulers and process managers for high-performance computing.
000837482 536__ $$0G:(DE-HGF)POF3-513$$a513 - Supercomputer Facility (POF3-513)$$cPOF3-513$$fPOF III$$x0
000837482 536__ $$0G:(EU-Grant)610476$$aDEEP-ER - DEEP Extended Reach (610476)$$c610476$$fFP7-ICT-2013-10$$x1
000837482 588__ $$aDataset connected to Library of Congress
000837482 7001_ $$0P:(DE-HGF)0$$aMoschny, Thomas$$b1
000837482 7001_ $$0P:(DE-Juel1)132090$$aEicker, Norbert$$b2
000837482 909CO $$ooai:juser.fz-juelich.de:837482$$pec_fundedresources$$pVDB$$popenaire
000837482 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132090$$aForschungszentrum Jülich$$b2$$kFZJ
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000837482 9141_ $$y2017
000837482 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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