Norbert Podhorszki Distinguished Researcher Scientist Contact 865.574.7159 | PNB@ORNL.GOV All Publications Canopus: Enabling Extreme-Scale Data Analytics on Big {HPC} Storage via Progressive Refactoring Exacution: Enhancing Scientific Data Management for Exascale Output Performance Study on a Production Petascale Filesystem Global adjoint tomography: first-generation model Exascale Storage Systems the SIRIUS Way An Adaptable Seismic Data Format Performance characterization of irregular I/O at the extreme scale Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing... Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation... ADIOS Scaling up Parallel I/O in S3D to 100K cores with ADIOS... Transparent In Situ Data Transformations in ADIOS... Active workflow system for near real-time extreme-scale science A Data Centric View of Large-Scale Seismic Imaging Workflows A Data Centric View of Large-Scale Seismic Imaging Workflows... ADIOS Visualization Schema: A First Step towards Improving Interdisciplinary Collaboration in High Performance Computing Runtime I/O Re-Routing + Throttling on HPC Storage... PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Pattern PARLO: PArallel Run-time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns... Contemporary High Performance Computing From Petascale toward Exascale... A scalable messaging system for accelerating discovery from large scale scientific simulations Quality-Aware Data Management for Large Scale Scientific Applications Characterizing output bottlenecks in a supercomputer... Characterizing output bottlenecks in a supercomputer... Pagination First page « First Previous page ‹‹ … Page 2 Current page 3 Page 4 Next page ›› Last page Last » Key Links Google Scholar ORCID Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Workflow Systems Group
