International Workshop on Software Engineering for High Performance Computing in Science

• the demanding characteristics of research software that affect its development choices;
• the appropriate context dimensions to describe research software;
• the major software quality goals for research software to run on HPC architectures;
• crossing the communication chasm between SE and Science when experiments are software or data-intensive;
• effectively involving scientists in software development and training;
• measuring the impact of SE on scientific productivity;
• SE tools and methods needed by the scientific community; and
• how to effectively test scientific HPC software.

For more information, please contact Prof. Jeffrey Carver.