001     859926
005     20210130000419.0
024 7 _ |a 2128/21395
|2 Handle
037 _ _ |a FZJ-2019-00741
041 _ _ |a English
100 1 _ |a Herten, Andreas
|0 P:(DE-Juel1)145478
|b 0
|e Corresponding author
|u fzj
111 2 _ |a GridKa School 2018
|c Karlsruhe
|d 2018-08-30 - 2018-08-30
|w Germany
245 _ _ |a GPU Programming 101
260 _ _ |c 2018
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
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336 7 _ |a conferenceObject
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
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502 _ _ |c Karlsruhe Institute of Technology
520 _ _ |a GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform for massively parallel computing. They have the ability to greatly increase the performance of scientific applications on a single workstation computer; and they also power the fastest supercomputers in the world. This talk will give an overview about the specifics of GPU computing and the underlying techniques and will introduce different programming models (mainly CUDA and OpenACC).
536 _ _ |a 513 - Supercomputer Facility (POF3-513)
|0 G:(DE-HGF)POF3-513
|c POF3-513
|f POF III
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536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|l Supercomputing & Big Data
913 1 _ |a DE-HGF
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914 1 _ |y 2018
915 _ _ |a OpenAccess
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