Norbert Podhorszki Distinguished Researcher Scientist Contact pnb@ornl.gov | 865.574.7159 All Publications Global Adjoint Tomographt: First-Generation Model... Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. ... Simulation of Fusion Plasmas: Current Status and Future Directions... Optimizing Metadata Exchange: Leveraging DAOS for ADIOS Metadata I/O MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring... Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation – A Case Study on Simulation Data with Extreme Climate Events Analysis Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network 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 Organizing Large Data Sets for Efficient Analyses on HPC Systems... 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... Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition... Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression... The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science... Spatial coupling of gyrokinetic simulations, a generalized scheme based on first-principles... Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing... Processing Full-Scale Square Kilometre Array Data on the Summit Supercomputer... Global adjoint tomography—model GLAD-M25... Visualization as a Service for Scientific Data... A terminology for in situ visualization and analysis systems... ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management... Opportunities for Cost Savings with In-Transit Visualization... Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale... Estimating Lossy Compressibility of Scientific Data Using Deep Neural Networks... Pagination Current page 1 Page 2 Page 3 … Next page ›› Last page Last » Key Links Google Scholar ORCID
