Eugen Betke

Bull I/O Cooperation

Projekt „Big Data“ (Contact: Dr. Julian Kunkel)

Seminar „Neueste Trends in Big Data Analytics“ (Contact: Dr. Julian Kunkel)

Proseminar „Programmierung in R“ (Contact: Dr. Julian Kunkel)

Automatisches Lernen der Leistungscharakteristika von Paralleler Ein-/Ausgabe, Eugen Betke (Master's Thesis), Advisors: Dr. Julian Kunkel, 2015-06-27, Thesis Presentation BibTeX

Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis (Julian Kunkel, Eugen Betke), In High Performance Computing: ISC High Performance 2021 International Workshops, Revised Selected Papers, Lecture Notes in Computer Science (12761), pp. 161–173, Springer, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-90539-2, 2021-11-13 BibTeX DOI PDF

A Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis (Julian Kunkel, Eugen Betke), In The Journal of High-Performance Storage, Series: 2, VI4IO, ISSN: 2748-7814, 2021-08-09 BibTeX URL DOI PDF

Classifying Temporal Characteristics of Job I/O Using Machine Learning Techniques (Eugen Betke, Julian Kunkel), In The Journal of High-Performance Storage, Series: 1, VI4IO, ISSN: 2748-7814, 2021-01-29 BibTeX URL DOI PDF

The Importance of Temporal Behavior when Classifying Job IO Patterns Using Machine Learning Techniques (Eugen Betke, Julian Kunkel), In High Performance Computing: ISC High Performance 2020 International Workshops, Revised Selected Papers, Lecture Notes in Computer Science (12321), pp. 191-205, (Editors: Heike Jagode, Hartwig Anzt, Guido Juckeland, Hatem Ltaief), Springer, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-59851-8, ISSN: 1611-3349, 2020-10-20 BibTeX DOI PDF

Semi-automatic Assessment of I/O Behavior by Inspecting the Individual Client-Node Timelines – An Explorative Study on 10^6 Jobs (Eugen Betke, Julian Kunkel), In High Performance Computing: ISC High Performance 2020, Lecture Notes in Computer Science, Springer, ISC HPC, Frankfurt, Germany, 2020-06 BibTeX PDF

Tracking User-Perceived I/O Slowdown via Probing (Julian Kunkel, Eugen Betke), In High Performance Computing: ISC High Performance 2019 International Workshops, Frankfurt/Main, Germany, June 16-20, 2019, Revised Selected Papers, Lecture Notes in Computer Science (11887), pp. 169–182, (Editors: Michèle Weiland, Guido Juckeland, Sadaf Alam, Heike Jagode), Springer, HPC-IODC workshop, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-34356-9, ISSN: 1611-3349, 2019-12-03 BibTeX URL DOI PDF

Footprinting Parallel I/O – Machine Learning to Classify Application’s I/O Behavior (Eugen Betke, Julian Kunkel), In High Performance Computing: ISC High Performance 2019 International Workshops, Frankfurt/Main, Germany, June 16-20, 2019, Revised Selected Papers, Lecture Notes in Computer Science (11887), pp. 214–226, (Editors: Michèle Weiland, Guido Juckeland, Sadaf Alam, Heike Jagode), Springer, HPC IODC workshop, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-34356-9, ISSN: 1611-3349, 2019-12-03 BibTeX URL DOI PDF

Benefit of DDN's IME-Fuse and IME-Lustre File Systems for I/O Intensive HPC Applications (Eugen Betke, Julian Kunkel), In High Performance Computing: ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers, Lecture Notes in Computer Science (11203), pp. 131–144, (Editors: Rio Yokota, Michele Weiland, John Shalf, Sadaf Alam), Springer, ISC Team, WOPSSS workshop, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-02465-9, ISSN: 1611-3349, 2019-01-25 BibTeX DOI PDF

Tools for Analyzing Parallel I/O (Julian Kunkel, Eugen Betke, Matt Bryson, Philip Carns, Rosemary Francis, Wolfgang Frings, Roland Laifer, Sandra Mendez), In High Performance Computing: ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers, Lecture Notes in Computer Science (11203), pp. 49–70, (Editors: Rio Yokota, Michele Weiland, John Shalf, Sadaf Alam), Springer, ISC Team, HPC-IODC workshop, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-02465-9, ISSN: 1611-3349, 2019-01-25 BibTeX DOI PDF

A Survey of Storage Systems for High-Performance Computing (Jakob Lüttgau, Michael Kuhn, Kira Duwe, Yevhen Alforov, Eugen Betke, Julian Kunkel, Thomas Ludwig), In Supercomputing Frontiers and Innovations, Series: Volume 5, Number 1, pp. 31–58, (Editors: Jack Dongarra, Vladimir Voevodin), Publishing Center of South Ural State University (454080, Lenin prospekt, 76, Chelyabinsk, Russia), 2018-04 BibTeX URL DOI PDF

Towards Decoupling the Selection of Compression Algorithms from Quality Constraints – an Investigation of Lossy Compression Efficiency (Julian Kunkel, Anastasiia Novikova, Eugen Betke), In Supercomputing Frontiers and Innovations, Series: Volume 4, Number 4, pp. 17–33, (Editors: Jack Dongarra, Vladimir Voevodin), 2017-12 BibTeX URL DOI PDF

Poster: Adaptive Tier Selection for NetCDF and HDF5 (Jakob Lüttgau, Eugen Betke, Olga Perevalova, Julian Kunkel, Michael Kuhn), SC17, Denver, CO, USA, 2017-11-14 BibTeX PDF

Poster: Toward Decoupling the Selection of Compression Algorithms from Quality Constraints (Julian Kunkel, Anastasia Novikova, Eugen Betke), SC17, Denver, CO, USA, 2017-11-14 BibTeX PDF

Real-Time I/O-Monitoring of HPC Applications with SIOX, Elasticsearch, Grafana and FUSE (Eugen Betke, Julian Kunkel), In High Performance Computing: ISC High Performance 2017 International Workshops, DRBSD, ExaComm, HCPM, HPC-IODC, IWOPH, IXPUG, P^3MA, VHPC, Visualization at Scale, WOPSSS, Lecture Notes in Computer Science (10524), pp. 158–170, (Editors: Julian Kunkel, Rio Yokota, Michaela Taufer, John Shalf), Springer, ISC High Performance, Frankfurt, Germany, ISBN: 978-3-319-67629-6, 2017-10-20 BibTeX DOI PDF

An MPI-IO In-Memory Driver for Non-Volatile Pooled Memory of the Kove XPD (Julian Kunkel, Eugen Betke), In High Performance Computing: ISC High Performance 2017 International Workshops, DRBSD, ExaComm, HCPM, HPC-IODC, IWOPH, IXPUG, P^3MA, VHPC, Visualization at Scale, WOPSSS, Lecture Notes in Computer Science (10524), pp. 644–655, (Editors: Julian Kunkel, Rio Yokota, Michaela Taufer, John Shalf), Springer, ISC High Performance, Frankfurt, Germany, ISBN: 978-3-319-67629-6, 2017-10-20 BibTeX DOI PDF

Wissenschaftliches Rechnen - Scientific Computing - 2016 (Yevhen Alforov, Eugen Betke, Konstantinos Chasapis, Anna Fuchs, Fabian Große, Nabeeh Jumah, Michael Kuhn, Julian Kunkel, Hermann Lenhart, Jakob Lüttgau, Philipp Neumann, Anastasiia Novikova, Jannek Squar, Thomas Ludwig), Research Group: Scientific Computing, University of Hamburg (Deutsches Klimarechenzentrum GmbH, Bundesstraße 45a, D-20146 Hamburg), 2017-06-19 BibTeX PDF

Toward Decoupling the Selection of Compression Algorithms from Quality Constraints (Julian Kunkel, Anastasiia Novikova, Eugen Betke, Armin Schaare), In High Performance Computing: ISC High Performance 2017 International Workshops, DRBSD, ExaComm, HCPM, HPC-IODC, IWOPH, IXPUG, P^3MA, VHPC, Visualization at Scale, WOPSSS, Lecture Notes in Computer Science (10524), pp. 1–12, (Editors: Julian Kunkel, Rio Yokota, Michaela Taufer, John Shalf), Springer, ISC High Performance, Frankfurt, Germany, ISBN: 978-3-319-67629-6, 2017 BibTeX DOI PDF

Poster: Utilizing In-Memory Storage for MPI-IO (Julian Kunkel, Eugen Betke), SC16, Salt Lake City, Utah, USA, 2016-11-15 BibTeX URL PDF

Poster: Using Machine Learning to Predict the Performance of Non-Contiguous I/O (Julian Kunkel, Michaela Zimmer, Eugen Betke), Frankfurt, Germany, 2015-07-13 BibTeX URL

Predicting Performance of Non-Contiguous I/O with Machine Learning (Julian Kunkel, Eugen Betke, Michaela Zimmer), In High Performance Computing, 30th International Conference, ISC High Performance 2015, Lecture Notes in Computer Science (9137), pp. 257–273, (Editors: Julian Martin Kunkel, Thomas Ludwig), ISC High Performance, Frankfurt, ISSN: 0302-9743, 2015 BibTeX DOI PDF

Predicting Performance of Non-Contiguous I/O with Machine Learning (Julian Kunkel, Eugen Betke, Michaela Zimmer), In Parallel Data Storage Workshop (PDSW), Work in progress session, pp. 43–48, SC14, New Orleans, 2014 BibTeX URL