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... Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2... Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression Profiles of upcoming HPC Applications and their Impact on Reservation Strategies Key Links Curriculum Vitae Personal webpage