Video: Reproducibility in High Performance Computing

Ensuring reliability and reproducibility in computational research raises unique challenges in the supercomputing context. Specialized architectures, extensive and customized software, and complex workflows all raise barriers to transparency, while established concepts such as validation, verification, and uncertainty quantification point ways forward. The topic has attracted national attention: President Obama's July 2015 Executive Order, "Creating a National Strategic Computing Initiative," includes accessibility and workflow capture as objectives; an XSEDE14 workshop released a report, "Standing Together for Reproducibility in Large-Scale Computing"; on May 5, 2015, ACM Transactions in Mathematical Software began the Replicated Computational Results Initiative; and this conference is host to a new workshop, "Numerical Reproducibility at Exascale," to name but a few examples. In this context, I will outline a research agenda to establish reproducibility and reliability as a cornerstone of scientific computing.

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