TY  - CONF
AU  - Kesselheim, Stefan
AU  - Herten, Andreas
AU  - Krajsek, Kai
AU  - Ebert, Jan
AU  - Jitsev, Jenia
AU  - Cherti, Mehdi
AU  - Langguth, Michael
AU  - Gong, Bing
AU  - Stadtler, Scarlet
AU  - Mozaffari, Amirpasha
AU  - Cavallaro, Gabriele
AU  - Sedona, Rocco
AU  - Schug, Alexander
AU  - Strube, Alexandre
AU  - Kamath, Roshni
AU  - Schultz, Martin G.
AU  - Riedel, Morris
AU  - Lippert, Thomas
TI  - JUWELS Booster – A Supercomputer for Large-Scale AI Research
VL  - 12761
M1  - FZJ-2021-04644
SN  - 978-3-030-90538-5 (print)
T2  - Lecture Notes in Computer Science
SP  - 453 - 468
PY  - 2021
AB  - 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.
T2  - ISC High Performance 2021
CY  - 24 Jun 2021 - 2 Jul 2021, Digital (Germany)
Y2  - 24 Jun 2021 - 2 Jul 2021
M2  - Digital, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:000763168300034
DO  - DOI:10.1007/978-3-030-90539-2_31
UR  - https://juser.fz-juelich.de/record/902889
ER  -