Software engineering (SWE) for modeling, simulation, and data analytics for computational science and engineering (CSE) is challenging, with ever-more sophisticated, higher fidelity simulation of ever-larger, more complex problems involving larger data volumes,more domains, and more researchers. Targeting both commodity and custom high-end computers multiplies these challenges. We invest significantly in creating these codes, but rarely talk about that experience; we just focus on the results.

We seek to raise awareness of SWE for CSE on supercomputers as a major challenge, and develop an international “community of practice” to continue these important discussions outside of workshops and other “traditional” venues.

Presenters

• Neil Chue Hong (Software Sustainability Institute, EPCC, University of Edinburgh)
• Ian Cosden (Princeton University)
• Nathan Goldbaum (Quansight)
• Carina Haupt (German Aerospace Center (DLR))
• Michael A. Heroux (Sandia National Laboratories)
• Axel Huebl (Lawrence Berkeley National Laboratory (LBNL))
• Catherine Jones (UKRI: Science and Technology Facilities Council)
• Daniel S. Katz (University of Illinois at Urbana-Champaign)
• Scott Lathrop (Shodor Education Foundation, and NCSA at the University of Illinois)

Organizers

• David E. Bernholdt (Oak Ridge National Laboratory)
• Jeffrey Carver (University of Alabama)
• Neil Chue Hong (University of Edinburgh, Software Sustainability Institute)
• William Gropp (University of Illinois, National Center for Supercomputing Applications)
• Carina Haupt (German Aerospace Center (DLR))
• Michael A. Heroux (Sandia National Laboratories and St. John's University)
• Axel Huebl (Lawrence Berkeley National Laboratory)
• Guido Juckeland (Helmholtz-Zentrum Dresden-Rossendorf (HZDR))
• Mozhgan Kabiri Chimeh (University of Sheffield)
• Daniel S. Katz (University of Illinois, National Center for Supercomputing Applications)