Ana Gainaru Computer Scientist Contact 865.765.5240 | GAINARUA@ORNL.GOV All Publications To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation High-Throughput Computing: Case Study of Medical Image Processing Applications Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring Julia as a unifying end-to-end workflow language on the Frontier exascale system Driving Next-Generation Workflows from the Data Plane... RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data 2022 Review of Data-Driven Plasma Science Adaptive Generation of Training Data for ML Reduced Model Creation Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers Understanding the Impact of Data Staging for Coupled Scientific Workflows... Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2... Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics Profiles of upcoming HPC Applications and their Impact on Reservation Strategies Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression Key Links Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Workflow Systems Group
