Julia as a unifying end-to-end workflow language on the Frontier exascale system... Conference Paper November, 2023
DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets 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... October, 2023
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data Conference Paper August, 2023
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network Conference Paper April, 2023
Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models... Conference Paper December, 2022