Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression Conference Paper March, 2022
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics Conference Paper March, 2022
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2... Conference Paper March, 2022
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition Conference Paper November, 2021
A Community Roadmap for Scientific Workflows Research and Development Conference Paper November, 2021
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression Conference Paper November, 2021
DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers Conference Paper August, 2021
