George Ostrouchov

Orcid: 0000-0002-2043-6026

According to our database1, George Ostrouchov authored at least 35 papers between 1999 and 2023.

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Bibliography

2023
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data.
CoRR, 2023

2021
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data.
npj Digit. Medicine, 2021

2020
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX, 2020

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull., 2020

Towards 1ULP evaluation of Daubechies Wavelets.
CoRR, 2020

GPU lifetimes on titan supercomputer: survival analysis and reliability.
Proceedings of the International Conference for High Performance Computing, 2020

2019
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems?
IEEE Trans. Computers, 2019

2018
An evaluation of the state of time synchronization on leadership class supercomputers.
Concurr. Comput. Pract. Exp., 2018

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017
Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes.
Big Data Res., 2017

Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Exacution: Enhancing Scientific Data Management for Exascale.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Extending Skel to Support the Development and Optimization of Next Generation I/O Systems.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Introducing a New Client/Server Framework for Big Data Analytics with the R Language.
Proceedings of the XSEDE16 Conference on Diversity, 2016

2013
A Parallel EM Algorithm for Model-Based Clustering Applied to the Exploration of Large Spatio-Temporal Data.
Technometrics, 2013

Contrasting Climate Ensembles: A Model-Based Visualization Approach for Analyzing Extreme Events.
Proceedings of the International Conference on Computational Science, 2013

2012
Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

OpenMP-style parallelism in data-centered multicore computing with R.
Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012

Understanding I/O Performance Using I/O Skeletal Applications.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

2011
Visualizing Life Zone Boundary Sensitivities Across Climate Models and Temporal Spans.
Proceedings of the International Conference on Computational Science, 2011

2009
A Matrix Computation View of FastMap and RobustMap Dimension Reduction Algorithms.
SIAM J. Matrix Anal. Appl., 2009

A tunable holistic resiliency approach for high-performance computing systems.
Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2009

Blue Gene/L Log Analysis and Time to Interrupt Estimation.
Proceedings of the The Forth International Conference on Availability, 2009

2007
Sampling streaming data with replacement.
Comput. Stat. Data Anal., 2007

2005
On FastMap and the Convex Hull of Multivariate Data: Toward Fast and Robust Dimension Reduction.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

2004
Reservoir-Based Random Sampling with Replacement from Data Stream.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

2003
Inference of Protein-Protein Interactions by Unlikely Profile Pair.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

An SVM-based Algorithm for Identification of Photosynthesis-specific Genome Features.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

2002
RACHET: An Efficient Cover-Based Merging of Clustering Hierarchies from Distributed Datasets.
Distributed Parallel Databases, 2002

Distributed Dimension Reduction Algorithms for Widely Dispersed Data.
Proceedings of the International Conference on Parallel and Distributed Computing Systems, 2002

Parallel Out-of-Core Algorithm for Genome-Scale Enumeration of Metabolic Systemic Pathways.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

1999
Mining consumer product data via latent semantic indexing.
Intell. Data Anal., 1999


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