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

• Michael A. Heroux (Sandia National Laboratories)
• Sandra Gesing (University of Notre Dame)
• Mike Zentner (San Diego Supercomputer Center)
• Vanessa Sochat (Stanford University)
• Fouzhan Hosseini (Numerical Algorithms Group)

Organizers

• David E. Bernholdt (Oak Ridge National Laboratory)
• Neil Chue Hong (University of Edinburgh, Software Sustainability Institute)
• Anshu Dubey (Argonne National Laboratory)
• Nasir Eisty (California Polytechnic State University)
• Charles Ferenbaugh (Los Alamos National Laboratory)
• Sandra Gesing (University of Notre Dame)
• Rinku Gupta (Argonne National Laboratory)
• Carina Haupt (German Aerospace Center (DLR))
• Axel Huebl (Lawrence Berkeley National Laboratory)
• Catherine Jones (Science and Technology Facilities Council)
• Mozhgan Kabiri Chimeh (NVIDIA)