Software Productivity and Sustainability

a track presented at

Argonne Training Program on Extreme-Scale Computing

on 8:30 am - 9:30 pm CDT (UTC-5) Friday 4 August 2023

Presenters: Anshu Dubey (Argonne National Laboratory), David E. Bernholdt (Oak Ridge National Laboratory), Greg Becker (Lawrence Livermore National Laboratory), and Jared O'Neal (Argonne National Laboratory)

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The BSSw tutorial focuses on issues of developer productivity, software sustainability, and reproducibility in scientific research software, particularly targeting high-performance computers.


Time (CDT)TitlePresenter
8:30 AMIntroduction David E. Bernholdt (ORNL)
8:35 AMMotivation and Overview of Best Practices in HPC Software Development David E. Bernholdt (ORNL)
9:15 AMScientific Software Design Anshu Dubey (ANL)
10:00 AMBreak
10:30 AMSpack: Package Management for HPC Greg Becker (LLNL)
11:30 AMSpack Hands-On Greg Becker (LLNL)
12:30 PMLunch
1:30 PMSoftware Testing and Verification Anshu Dubey (ANL)
2:30 PMRefactoring Scientific Software Anshu Dubey (ANL)
3:00 PMBreak
3:30 PMLab Notebooks for Computational Mathematics, Sciences, & Engineering Jared O'Neal (ANL)
4:30 PMManaging Computational Experiments Anshu Dubey (ANL)
4:45 PMImproving Reproducibility Through Better Software Practices David E. Bernholdt (ORNL)
5:45 PMSummary David E. Bernholdt (ORNL)
6:00 PMQ&A, including your software experiences and challengesAll
6:30 PMAdjourn

Presentation Slides

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Requested Citation

The requested citation the overall tutorial is:

Anshu Dubey, David E. Bernholdt, Greg Becker, and Jared O’Neal, Software Productivity and Sustainability track, in Argonne Training Program on Extreme-Scale Computing, St. Charles, Illinois, 2023. DOI: 10.6084/m9.figshare.23823822.

Individual modules may be cited as Speaker, Module Title, in Software Productivity and Sustainability track…


This tutorial is produced by the IDEAS Productivity project.

This work was supported by the U.S. Department of Energy Office of Science, Office of Advanced Scientific Computing Research (ASCR), and by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration.