001     902889
005     20250822121304.0
020 _ _ |a 978-3-030-90538-5 (print)
020 _ _ |a 978-3-030-90539-2 (electronic)
024 7 _ |a 10.1007/978-3-030-90539-2_31
|2 doi
024 7 _ |a 0302-9743
|2 ISSN
024 7 _ |a 1611-3349
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024 7 _ |a 2128/29225
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024 7 _ |a WOS:000763168300034
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037 _ _ |a FZJ-2021-04644
041 _ _ |a English
100 1 _ |a Kesselheim, Stefan
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|e Corresponding author
111 2 _ |a ISC High Performance 2021
|g ISC21
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|d 2021-06-24 - 2021-07-02
|w Germany
245 _ _ |a JUWELS Booster – A Supercomputer for Large-Scale AI Research
260 _ _ |c 2021
295 1 0 |a High Performance Computing / Jagode, Heike (Editor)
300 _ _ |a 453 - 468
336 7 _ |a CONFERENCE_PAPER
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490 0 _ |a Lecture Notes in Computer Science
|v 12761
520 _ _ |a In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the Jülich Supercomputing Center. With its system architecture, most importantly its large number of powerful Graphics Processing Units (GPUs) and its fast interconnect via InfiniBand, it is an ideal machine for large-scale Artificial Intelligence (AI) research and applications. We detail its system architecture, parallel, distributed model training, and benchmarks indicating its outstanding performance. We exemplify its potential for research application by presenting large-scale AI research highlights from various scientific fields that require such a facility.
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700 1 _ |a Krajsek, Kai
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700 1 _ |a Ebert, Jan
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700 1 _ |a Jitsev, Jenia
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700 1 _ |a Cherti, Mehdi
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700 1 _ |a Langguth, Michael
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700 1 _ |a Gong, Bing
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700 1 _ |a Stadtler, Scarlet
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700 1 _ |a Mozaffari, Amirpasha
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700 1 _ |a Cavallaro, Gabriele
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700 1 _ |a Sedona, Rocco
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700 1 _ |a Schultz, Martin G.
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773 _ _ |a 10.1007/978-3-030-90539-2_31
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LibraryCollectionCLSMajorCLSMinorLanguageAuthor
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