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

Our goal is to raise awareness of SWE for CSE on supercomputers as a major challenge and to begin the development of an international “community of practice” to continue these important discussions outside of annual workshops and other “traditional” venues.

Presenters

• Daniel S. Katz (University of Illinois)
• James Hetherington (University College London)
• Aleksandra Pawlik (New Zealand e-Science Infrastructure)
• Aleksandra Pawlik (New Zealand e-Science Infrastructure)
• Jason Maassen (Netherland e-Science Center)
• Toni Collis (EPCC)
• Rajiv Ramnath (National Science Foundation (US))
• Nancy Wilkins-Diehr (SDSC/UCSD)
• Mike Heroux (Sandia National Laboratories)

Organizers

• David E. Bernholdt (Oak Ridge National Laboratory)
• Jeffrey Carver (University of Alabama)
• Neil Chue Hong (University of Edinburgh)
• Mike Heroux (Sandia National Laboratories)
• Daniel S. Katz (University of Illinois Urbana-Champaign)
• James Lin (Shanghai Jiao Tong University)
• Kengo Nakajima (University of Tokyo)