2 papers
cs.DC2018
Use Cases of Computational Reproducibility for Scientific Workflows at Exascale
Line Pouchard, Sterling Baldwin, Todd Elsethagen +6
We propose an approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics, in a hybrid queriable system, the ProvE…
cs.DC2018
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows
Alok Singh, Eric Stephan, Malachi Schram +1
Distributed computing platforms provide a robust mechanism to perform large-scale computations by splitting the task and data among multiple locations, possibly located thousands o…