George Ostrouchov Contact ostrouchovg@ornl.gov | 865.574.3137 All Publications Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes... Understanding GPU Memory Corruption at Extreme Scale: The Summit Case Study Two methods to study inelastic neutron-scattering measurements based on ωn(q) versus S(q, ω) applied to the magnetic open h... Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record ... GPU Lifetimes on Titan Supercomputer: Survival Analysis and Reliability... ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management... JSONize: A Scalable Machine Learning Pipeline to Model Medical Notes as Semi-structured Documents... Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale... Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems?... A View from ORNL: Scientific Data Research Opportunities in the Big Data Age Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer... An evaluation of the state of time synchronization on leadership class supercomputers... TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping... Parallel Statistical Computing with R: An Illustration on Two Architectures... Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System... Exacution: Enhancing Scientific Data Management for Exascale... Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes Introducing a New Client/Server Framework for Big Data Analytics with the R Language... Uncertainty Analysis of a Heavily Instrumented Building at Different Scales of Simulation... High-Level Analytics with R and pbdR on Cray Systems... A Parallel EM Algorithm for Model-Based Clustering Applied to the Exploration of Large Spatio-Temporal Data... Combining R with Scalable Libraries to Get the Best of Both for Big Data... Contrasting Climate Ensembles: A Model-Based Visualization Approach for Analyzing Extreme Events... A Call for Participation in XSEDE Computing: Statisticians Needed for Big Data... Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data... Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links Curriculum Vitae ORCID Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Systems and Decision Sciences Group