15 citations · 30 across the 6 of their papers we have counts for
7 papers
Workflows Community Summit 2022: A Roadmap Revolution
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
Line Pouchard, Kristofer G. Reyes, Francis J. Alexander +1
The ability to replicate predictions by machine learning (ML) or artificial intelligence (AI) models and results in scientific workflows that incorporate such ML/AI predictions is…
Figure Descriptive Text Extraction using Ontological Representation
Gilchan Park, Julia Rayz, Line Pouchard
Experimental research publications provide figure form resources including graphs, charts, and any type of images to effectively support and convey methods and results. To describe…
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool
Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi +11
Because of the limits input/output systems currently impose on high-performance computing systems, a new generation of workflows that include online data reduction and analysis is…
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…
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE
Doug James, Nancy Wilkins-Diehr, Victoria Stodden +52
This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Envir…