Scott Klasky Group Leader for Workflow Systems Group Contact 865.241.9980 | KLASKY@ORNL.GOV All Publications Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models Lifting MGARD: Construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order... Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control... A Framework for Compressing Unstructured Scientific Data via Serialization Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest AI Surrogate Model for Distributed Computing Workloads To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation FunM2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy Science A Personalized AI Assistant for Intuition-Driven Visual Explorations A General Framework for Error-controlled Unstructured Scientific Data Compression... Optimizing Metadata Exchange: Leveraging DAOS for ADIOS Metadata I/O Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations Scaling Ensembles of Data-Intensive Quantum Chemical Calculations for Millions of Molecules Role of turbulent separatrix tangle in the improvement of the integrated pedestal and heat exhaust issue for stationary-operation tokamak fusion reactors Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications Fast Algorithms for Scientific Data Compression 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 Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest 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 Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network Pagination Current page 1 Page 2 Page 3 … Next page ›â¶Äº Last page Last » Key Links
