James Kress

Orcid: 0000-0002-9706-6182

According to our database1, James Kress authored at least 26 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Inshimtu - A Lightweight In Situ Visualization "Shim".
Proceedings of the High Performance Computing, 2023

Visualization Environment for Analyzing Extreme Rainfall Events: A Case Study.
Proceedings of the 11th Workshop on Visualisation in Environmental Sciences, 2023

2022
Understanding the Impact of Data Staging for Coupled Scientific Workflows.
IEEE Trans. Parallel Distributed Syst., 2022

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.
IEEE Trans. Computers, 2022

2021
Fides: A General Purpose Data Model Library for Streaming Data.
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

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

A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl., 2020

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

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR, 2020

Opportunities for Cost Savings with In-Transit Visualization.
Proceedings of the High Performance Computing - 35th International Conference, 2020

Visualization as a Service for Scientific Data.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale.
Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization, 2020

Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization.
Proceedings of the 20th Eurographics Symposium on Parallel Graphics and Visualization, 2020

2019
Comparing the Efficiency of In Situ Visualization Paradigms at Scale.
Proceedings of the High Performance Computing - 34th International Conference, 2019

2018
Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation.
Proceedings of the High Performance Computing, 2018

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.
Proceedings of the High Performance Computing, 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

Performance-Portable Particle Advection with VTK-m.
Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018


2016
Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers.
Supercomput. Front. Innov., 2016

VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures.
IEEE Computer Graphics and Applications, 2016

Performance modeling of in situ rendering.
Proceedings of the International Conference for High Performance Computing, 2016

Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code.
Proceedings of the Second Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2016

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015
Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay.
Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

A visualization pipeline for large-scale tractography data.
Proceedings of the 5th IEEE Symposium on Large Data Analysis and Visualization, 2015


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