Reproducible and Portable Workflows for Scientific Computing and HPC in the Cloud

@article{Vaillancourt2020ReproducibleAP,
  title={Reproducible and Portable Workflows for Scientific Computing and HPC in the Cloud},
  author={Peter Vaillancourt and Bennett Wineholt and Brandon Barker and Plato Deliyannis and Jackie Zheng and A. Suresh and Adam Brazier and R. Knepper and R. Wolski},
  journal={Practice and Experience in Advanced Research Computing},
  year={2020}
}
The increasing availability of cloud computing services for science has changed the way scientific code can be developed, deployed, and run. Many modern scientific workflows are capable of running on cloud computing resources. Consequently, there is an increasing interest in the scientific computing community in methods, tools, and implementations that enable moving an application to the cloud and simplifying the process, and decreasing the time to meaningful scientific results. In this paper… Expand
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Self-Scaling Clusters and Reproducible Containers to Enable Scientific Computing

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The purely functional software deployment model