• Media type: Electronic Conference Proceeding
  • Title: JUWELS Booster – A Supercomputer for Large-Scale AI Research
  • Contributor: Kesselheim, Stefan [Author]; Herten, Andreas [Author]; Cavallaro, Gabriele [Author]; Sedona, Rocco [Author]; Schug, Alexander [Author]; Strube, Alexandre [Author]; Kamath, Roshni [Author]; Schultz, Martin G. [Author]; Riedel, Morris [Author]; Lippert, Thomas [Author]; Krajsek, Kai [Author]; Ebert, Jan [Author]; Jitsev, Jenia [Author]; Cherti, Mehdi [Author]; Langguth, Michael [Author]; Gong, Bing [Author]; Stadtler, Scarlet [Author]; Mozaffari, Amirpasha [Author]
  • Published: Forschungszentrum Jülich: JuSER (Juelich Shared Electronic Resources), 2021
  • Published in: Lecture Notes in Computer Science 12761, 453 - 468 (2021). doi:10.1007/978-3-030-90539-2_31 ; High Performance Computing / Jagode, Heike (Editor) ; High Performance Computing / Jagode, Heike (Editor) ISC High Performance 2021, ISC21, Digital, Germany, 2021-06-24 - 2021-07-02
  • Language: English
  • DOI: https://doi.org/10.1007/978-3-030-90539-2_31
  • ISBN: 978-3-030-90538-5
  • ISSN: 1611-3349; 0302-9743
  • Origination:
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  • Description: 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.
  • Access State: Open Access