Software Engineering and Reuse in Modeling, Simulation, and Data Analytics for Science and Engineering

Abstract

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.