Eugen Betke

According to our database, Eugen Betke authored at least 14 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis.

Julian M. Kunkel, Eugen Betke

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

2020

State of the Art and Future Trends in Data Reduction for High-Performance Computing.

Kira Duwe, Jakob Lüttgau, Georgiana Mania, Jannek Squar, Anna Fuchs, Michael Kuhn, Eugen Betke, Thomas Ludwig

Supercomput. Front. Innov., 2020

The Importance of Temporal Behavior When Classifying Job IO Patterns Using Machine Learning Techniques.

Eugen Betke, Julian M. Kunkel

Proceedings of the High Performance Computing, 2020

Semi-automatic Assessment of I/O Behavior by Inspecting the Individual Client-Node Timelines - An Explorative Study on 10⁶ Jobs.

Eugen Betke, Julian M. Kunkel

Proceedings of the High Performance Computing - 35th International Conference, 2020

2019

Tracking User-Perceived I/O Slowdown via Probing.

Julian M. Kunkel, Eugen Betke

Proceedings of the High Performance Computing, 2019

Footprinting Parallel I/O - Machine Learning to Classify Application's I/O Behavior.

Eugen Betke, Julian M. Kunkel

Proceedings of the High Performance Computing, 2019

2018

Survey of Storage Systems for High-Performance Computing.

Jakob Lüttgau, Michael Kuhn, Kira Duwe, Yevhen Alforov, Eugen Betke, Julian M. Kunkel, Thomas Ludwig

Supercomput. Front. Innov., 2018

Tools for Analyzing Parallel I/O.

Julian Martin Kunkel, Eugen Betke, Matt Bryson, Philip H. Carns, Rosemary Francis, Wolfgang Frings, Roland Laifer, Sandra Méndez

Proceedings of the High Performance Computing, 2018

Benefit of DDN's IME-FUSE for I/O Intensive HPC Applications.

Eugen Betke, Julian M. Kunkel

Proceedings of the High Performance Computing, 2018

2017

Towards Decoupling the Selection of Compression Algorithms from Quality Constraints - An Investigation of Lossy Compression Efficiency.

Julian Martin Kunkel, Anastasiia Novikova, Eugen Betke

Supercomput. Front. Innov., 2017

Toward Decoupling the Selection of Compression Algorithms from Quality Constraints.

Julian M. Kunkel, Anastasiia Novikova, Eugen Betke, Armin Schaare

Proceedings of the High Performance Computing, 2017

An MPI-IO In-Memory Driver for Non-volatile Pooled Memory of the Kove XPD.

Julian M. Kunkel, Eugen Betke

Proceedings of the High Performance Computing, 2017

Real-Time I/O-Monitoring of HPC Applications with SIOX, Elasticsearch, Grafana and FUSE.

Eugen Betke, Julian M. Kunkel

Proceedings of the High Performance Computing, 2017

2015

Predicting Performance of Non-contiguous I/O with Machine Learning.

Julian M. Kunkel, Michaela Zimmer, Eugen Betke

Proceedings of the High Performance Computing - 30th International Conference, 2015