000151081 001__ 151081
000151081 005__ 20210129213410.0
000151081 037__ $$aFZJ-2014-01111
000151081 1001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b0$$eCorresponding author$$ufzj
000151081 1112_ $$a36th International Convention on Information & Communication Technology Electronics & Microelectronics$$cOpatija$$d2013-05-20 - 2013-05-24$$gMIPRO 2013$$wCroatia
000151081 245__ $$aHigh productivity processing - Engaging in big data around distributed computing
000151081 260__ $$aRijeka, Croatia$$bCroatian Society for Information and Communication Technology, Electronics and Microelectronics$$c2013
000151081 29510 $$aInformation & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on
000151081 300__ $$a145-150
000151081 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1392805285_23253
000151081 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000151081 3367_ $$033$$2EndNote$$aConference Paper
000151081 3367_ $$2ORCID$$aCONFERENCE_PAPER
000151081 3367_ $$2DataCite$$aOutput Types/Conference Paper
000151081 3367_ $$2DRIVER$$aconferenceObject
000151081 3367_ $$2BibTeX$$aINPROCEEDINGS
000151081 520__ $$aThe steadily increasing amounts of scientific data and the analysis of `big data' is a fundamental characteristic in the context of computational simulations that are based on numerical methods or known physical laws. This represents both an opportunity and challenge on different levels for traditional distributed computing approaches, architectures, and infrastructures. On the lowest level data-intensive computing is a challenge since CPU speed has surpassed IO capabilities of HPC resources and on the higher levels complex cross-disciplinary data sharing is envisioned via data infrastructures in order to engage in the fragmented answers to societal challenges. This paper highlights how these levels share the demand for `high productivity processing' of `big data' including the sharing and analysis of `large-scale science data-sets'. The paper will describe approaches such as the high-level European data infrastructure EUDAT as well as low-level requirements arising from HPC simulations used in distributed computing. The paper aims to address the fact that big data analysis methods such as computational steering and visualization, map-reduce, R, and others are around, but a lot of research and evaluations still need to be done to achieve scientific insights with them in the context of traditional distributed computing infrastructures.
000151081 536__ $$0G:(DE-HGF)POF2-412$$a412 - Grid Technologies and Infrastructures (POF2-412)$$cPOF2-412$$fPOF II$$x0
000151081 7001_ $$0P:(DE-Juel1)132190$$aMemon, Mohammad Shahbaz$$b1$$ufzj
000151081 7001_ $$0P:(DE-Juel1)132191$$aMemon, Ahmed$$b2$$ufzj
000151081 7001_ $$0P:(DE-HGF)0$$aFiameni, G.$$b3
000151081 7001_ $$0P:(DE-HGF)0$$aCacciari, C.$$b4
000151081 7001_ $$0P:(DE-Juel1)132179$$aLippert, Thomas$$b5$$ufzj
000151081 770__ $$z978-953-233-076-2
000151081 8564_ $$uhttp://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6596241
000151081 909__ $$ooai:juser.fz-juelich.de:151081$$pVDB
000151081 909CO $$ooai:juser.fz-juelich.de:151081$$pVDB
000151081 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132239$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000151081 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132190$$aForschungszentrum Jülich GmbH$$b1$$kFZJ
000151081 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132191$$aForschungszentrum Jülich GmbH$$b2$$kFZJ
000151081 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132179$$aForschungszentrum Jülich GmbH$$b5$$kFZJ
000151081 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
000151081 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
000151081 9141_ $$y2013
000151081 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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000151081 980__ $$aI:(DE-Juel1)JSC-20090406