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@MISC{Strube:1038639,
      author       = {Strube, Alexandre},
      title        = {{B}ringing {D}eep {L}earning {W}orkloads to {JSC}
                      supercomputers},
      reportid     = {FZJ-2025-01610},
      year         = {2024},
      abstract     = {This course will take place as an online event. The link to
                      the online platform will be provided to the accepted
                      registrants only.Fancy using High Performance Computing
                      machines for AI? Fancy learning how to run your code one of
                      Europe's fastest computers JUWELS Booster at FZJ?In this
                      workshop, we will guide you through the first steps of using
                      the supercomputer machines for your own AI application. This
                      workshop should be tailored to your needs - and our team
                      will guide you through questions like:How do I get access to
                      the machines? How do I use the pre-installed, optimized
                      software?How can I run my own code?How can I store data so I
                      can access it fast in training?How can parallelize my
                      training and use more than one GPU?In this workshop, we will
                      try to get your code and your workflow running and would
                      like to make the start on a supercomputer as smooth as
                      possible. After this course, you are not only ready to use
                      not only HAICORE but you have made your first step into
                      unlocking compute resources even on the largest scale with a
                      compute time application at the Gauss Supercomputing
                      Center.},
      month         = {Jun},
      date          = {2024-06-25},
      organization  = {JSC - as part of the Training
                       Programme of Forschungszentrum Jülich,
                       Jülich (Germany), 25 Jun 2024 - 26 Jun
                       2024},
      subtyp        = {Other},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / Helmholtz AI Consultant
                      Team FB Information (E54.303.11)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-Juel-1)E54.303.11},
      typ          = {PUB:(DE-HGF)17},
      url          = {https://juser.fz-juelich.de/record/1038639},
}