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

• Benjamin Brown (Office of Advanced Scientific Computing Research, Office of Science, U.S. Dept. of Energy)
• Yo Yehudi (Wellcome Trust)
• Michael Bader (Technical University of Munich)
• Daniel S. Katz (University of Illinois at Urbana-Champaign)
• Michelle Barker (Research Software Alliance)
• Manish Parashar (University of Utah)

Organizers

• David E. Bernholdt (Oak Ridge National Laboratory)
• Anshu Dubey (Argonne National Laboratory)
• Nasir Eisty (Boise State University)
• Sandra Gesing (Discovery Partners Institute)
• Rinku Gupta (Argonne National Laboratory)
• Axel Huebl (Lawrence Berkeley National Laboratory)
• Mozhgan Kabiri Chimeh (NVIDIA)
• Marion Weinzierl (Durham University)