Eugen Betke

eugenbetke.jpg

E-mailbetke@dkrz.de
AddressDKRZ Innovation Lab, room 408
Telephone+49 40 460094-422
External websitehttps://wr.informatik.uni-hamburg.de/people/eugen_betke

Projects

Teaching

Wintersemester 2017/2018

Sommersemester 2016

Open Thesis Topics

Theses

Publications

2021

  • 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

2020

  • 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

2019

  • 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
  • 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
  • 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

2018

  • 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

2017

  • 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

2016

2015

  • 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

2014

All publications as BibTex