Better Scientific Software
DescriptionProducing scientific software is a challenge. The high-performance modeling and simulation community, in particular, faces the confluence of disruptive changes in computing architectures and new opportunities (and demands) for greatly improved simulation capabilities, especially through coupling physics and scales. Simultaneously, computational science and engineering (CSE), as well as other areas of science, are experiencing an increasing focus on scientific reproducibility and software quality.

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.

This tutorial will provide information about software practices, processes, and tools explicitly tailored for CSE and HPC. Goals are improving the productivity of those who develop CSE software, increasing the sustainability of software artifacts, and trustworthiness in their use. Topics include the software processes for (small) teams, including agile processes, collaboration via version control workflows, reproducibility, and scientific software design, refactoring, and testing (including test design strategies and continuous integration).
Event Type
Tutorial
TimeSunday, 13 November 20221:30pm - 5pm CST
LocationD167
Registration Categories
TUT
Tags
Applications
Computational Science
Productivity Tools
Software Engineering
Session Formats
Recorded
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