Details

Autor(en) / Beteiligte

• Kesselheim, Stefan
• Herten, Andreas
• Krajsek, Kai
• Ebert, Jan
• Jitsev, Jenia
• Cherti, Mehdi
• Langguth, Michael
• Gong, Bing
• Stadtler, Scarlet
• Mozaffari, Amirpasha
• Cavallaro, Gabriele
• Sedona, Rocco
• Schug, Alexander
• Strube, Alexandre
• Kamath, Roshni
• Schultz, Martin G.
• Riedel, Morris
• Lippert, Thomas

Titel

JUWELS Booster – A Supercomputer for Large-Scale AI Research

Ist Teil von

• High Performance Computing, p.453-468

Ort / Verlag

Cham: Springer International Publishing

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.