Journal of Computational Science Education: Orchestrating Cloud-supported Workspaces for a Computational Biochemistry Course at Large Scale

Orchestrating Cloud-supported Workspaces for a Computational Biochemistry Course at Large Scale

Gil Speyer, Neal Woodbury, Arun Neelicattu, Aaron Peterson, Greg Schwimer, and George Slessman

Volume 14, Issue 2 (November 2023), pp. 34–37

https://doi.org/10.22369/issn.2153-4136/14/2/7

BibTeX

@article{jocse-14-2-7,
  author={Gil Speyer and Neal Woodbury and Arun Neelicattu and Aaron Peterson and Greg Schwimer and George Slessman},
  title={Orchestrating Cloud-supported Workspaces for a Computational Biochemistry Course at Large Scale},
  journal={The Journal of Computational Science Education},
  year=2023,
  month=nov,
  volume=14,
  issue=2,
  pages={34--37},
  doi={https://doi.org/10.22369/issn.2153-4136/14/2/7}
}

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A joint proof-of-concept project between Arizona State University and CR8DL, Inc., deployed a Jupyter-notebook based interface to datacenter resources for a computationally intensive, semesterlength biochemistry course project. Facilitated for undergraduate biochemistry students with limited high-performance computing experience, the straightforward interface allowed for large scale computations. As the project progressed, various enhancements were identified and implemented.