The computational science and engineering (CSE) community is in the midst of an extremely challenging period created by the confluence of disruptive changes in computing architectures, demand for greater scientific reproducibility, and new opportunities for greatly improved simulation capabilities, especially through coupling physics and scales. Computer architecture changes require new software design and implementation strategies, including significant refactoring of existing code. Reproducibility demands require more rigor across the entire software endeavor. Code coupling requires aggregate team interactions including integration of software processes and practices. These challenges demand large investments in scientific software development and improved practices. Focusing on improved developer productivity and software sustainability is both urgent and essential. We propose a half day tutorial that distills multi-project and multi-years experience from members of the IDEAS project, and creators of the BSSw.io community website.

This tutorial will provide information and hands-on experience with software practices, processes, and tools explicitly tailored for CSE. Goals are improving the productivity of those who develop CSE software and increasing the sustainability of software artifacts. We discuss practices that are relevant for projects of all sizes, with emphasis on small teams, and on aggregate teams composed of small teams. Topics include reasons and motivation for caring about software productivity in science teams, effective models, tools, and processes for small teams (including agile workflow management), reproducibility, and scientific software testing and verification (including automated testing and continuous integration), and refactoring.

Presenters

• David E. Bernholdt (Oak Ridge National Laboratory)
• Anshu Dubey (Argonne National Laboratory)
• Jared O'Neal (Argonne National Laboratory)