Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications Conference Paper March, 2024
DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets Conference Paper November, 2023
Julia as a unifying end-to-end workflow language on the Frontier exascale system Conference Paper November, 2023
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation – A Case Study on Simulation Data with Extreme Climate Events Analysis Conference Paper October, 2023
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest Conference Paper October, 2023
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data Conference Paper August, 2023
