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@CONFERENCE{Herten:916420,
      author       = {Herten, Andreas},
      title        = {{JUWELS} {B}ooster {T}uning and {S}caling {W}orkshop 2022},
      reportid     = {FZJ-2022-06220},
      year         = {2022},
      note         = {Indico:
                      https://indico-jsc.fz-juelich.de/event/266/other-view?view=standard},
      abstract     = {The Booster module of the JUWELS supercomputer at JSC
                      consists of 936 compute nodes, each equipped with 4 NVIDIA
                      A100 GPUs and providing a peak performance of over 70
                      PFLOP/s. Per node, 4 InfiniBand HDR200 adapters are
                      installed, providing 800 GBit/s of network bandwidth per
                      node. The system is in production since end of 2020 and used
                      by many researchers for advanced simulations at large
                      scales.This workshop will focus on applications already
                      enabled for a few GPUs, with the goal to improve scaling and
                      performance on many GPUs.Dedicated lectures will present
                      state-of-the-art tools and techniques for efficient
                      multi-GPU computing; while the main focus is on interactive
                      hands-on sessions together with mentors, in which the
                      applications of the participants will be analyzed and
                      optimized.},
      month         = {Mar},
      date          = {2022-03-07},
      organization  = {JUWELS Booster Tuning and Scaling
                       Workshop 2022, online (Germany), 7 Mar
                       2022 - 11 Mar 2022},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / 5122 - Future Computing
                      $\&$ Big Data Systems (POF4-512) / 5121 - Supercomputing
                      $\&$ Big Data Facilities (POF4-512) / ATML-X-DEV - ATML
                      Accelerating Devices (ATML-X-DEV)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-5122 /
                      G:(DE-HGF)POF4-5121 / G:(DE-Juel-1)ATML-X-DEV},
      typ          = {PUB:(DE-HGF)5},
      url          = {https://juser.fz-juelich.de/record/916420},
}