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DTSTART;TZID=Europe/Stockholm:20230626T150000
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UID:submissions.pasc-conference.org_PASC23_sess158_msa238@linklings.com
SUMMARY:Developing Services for Scientific Communities: Experiences from t
 he National High Performance Computing Program in Germany
DESCRIPTION:Minisymposium\n\nThorsten Reimann and Christian Bischof (TU Da
 rmstadt)\n\nThe academic HPC landscape in Germany has become much more ser
 vice-oriented over the last decade. Based on the insight that scientists r
 equire more than purely technical support to successfully and efficiently 
 work on HPC clusters, state and federal programs have been instituted that
  provide consulting, training activities, and more. In particular, the lau
 nch of the initially 10-year National HPC project (Nationales Hochleistung
 srechnen, NHR) in 2021 has provided more opportunities to address the need
 s of researchers in a fashion targeted to their respective scientific comm
 unities, thus making these services more focussed and effective. However, 
 identifying and approaching different communities regarding HPC support, a
 nd finally providing the right services for them are not self-evident task
 s at all. We find these groups to be amorphous, heterogeneous, and often q
 uite inexplicit in their requirements. Using several communities in the co
 mputational engineering sciences as example, we reflect on measures that h
 ave and can be taken to facilitate the development of services for scienti
 fic communities in HPC. Examples for such measures are tailored events, co
 mmunication strategies and information offerings. We stress the importance
  of the continuity and sustainability of these efforts, and the availabili
 ty and training of a dedicated and service-oriented scientific staff.\n\nD
 omain: Computer Science, Machine Learning, and Applied Mathematics 
\n\nSe
 ssion Chairs: Rinku Gupta (Argonne National Laboratory) and Elaine M. Rayb
 ourn (Sandia National Laboratories)
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