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Minisymposium Presentation
The Mixed Impacts of Clouds for Reproducible Research
Presenter
Jay Lofstead is a Principal Member of Technical Staff at Sandia National Laboratories. His research interests focus around large scale data management and trusting scientific computing. In particular, he works on storage, IO, metadata, workflows, reproducibility, software engineering, machine learning, and operating system-level support for any of these topics. Broadly across these topics, he is also deeply interested in ethics related to these topics and computing in general and how to drive inclusivity across the computation-related science domains. Dr. Lofstead received his Ph.D. in Computer Science from the Georgia Institute of Technology in 2010.
Description
Cloud environments have democratized access to large compute centers with easy to use interfaces and straightforward cost models. While this has lowered the barriers to many scientific disciplines to make reproducible computational experiments and data analysis, many of these enabling technologies can hurt reproducibility efforts inadvertently. This talk will explore some of the common interfaces, such as Jupyter notebooks and containers, to explore how these tools both support and hurt reproducibility efforts and offer ideas on some ways to mitigate these challenges.