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001     860125
005     20210130000442.0
037 _ _ |a FZJ-2019-00911
100 1 _ |a Riedel, Morris
|0 P:(DE-Juel1)132239
|b 0
|e Corresponding author
111 2 _ |a PRACE training course
|c Jülich
|d 2018-01-15 - 2018-01-17
|w Germany
245 _ _ |a Parallel and Scalable Machine Learning
260 _ _ |c 2018
336 7 _ |a lecture
|2 DRIVER
336 7 _ |a Generic
|0 31
|2 EndNote
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Lecture
|b lecture
|m lecture
|0 PUB:(DE-HGF)17
|s 1548773509_8840
|2 PUB:(DE-HGF)
|x Other
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Text
|2 DataCite
536 _ _ |a 512 - Data-Intensive Science and Federated Computing (POF3-512)
|0 G:(DE-HGF)POF3-512
|c POF3-512
|f POF III
|x 0
536 _ _ |a PRACE-5IP - PRACE 5th Implementation Phase Project (730913)
|0 G:(EU-Grant)730913
|c 730913
|f H2020-EINFRA-2016-1
|x 1
700 1 _ |a Cavallaro, Gabriele
|0 P:(DE-Juel1)171343
|b 1
700 1 _ |a Erlingsson, E.
|0 P:(DE-HGF)0
|b 2
909 C O |o oai:juser.fz-juelich.de:860125
|p openaire
|p VDB
|p ec_fundedresources
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
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|6 P:(DE-Juel1)132239
910 1 _ |a Forschungszentrum Jülich
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|6 P:(DE-Juel1)171343
913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-512
|2 G:(DE-HGF)POF3-500
|v Data-Intensive Science and Federated Computing
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
914 1 _ |y 2018
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a lecture
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED

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