people:alumni:eugen_betke
Table of Contents
Eugen Betke
betke@dkrz.de | |
Address | Innovation Lab, room 408 |
Telephone | +49 40 460094-422 |
Projects
Theses
- Automatisches Lernen der Leistungscharakteristika von Paralleler Ein-/Ausgabe (Eugen Betke), Master's Thesis, Advisors: Julian Kunkel, 2015-06-27, Thesis – Presentation – Publication details
Publications
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), In Supercomputing Frontiers and Innovations, Series: Volume 7, Number 1, pp. 4–36, (Editors: Jack Dongarra, Vladimir Voevodin), Publishing Center of South Ural State University (454080, Lenin prospekt, 76, Chelyabinsk, Russia), 2020-04
Publication details – URL – DOI
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
Publication details – URL – DOI
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), Publishing Center of South Ural State University (454080, Lenin prospekt, 76, Chelyabinsk, Russia), 2017-12
Publication details – URL – DOI
- 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
Publication details – Publication
- 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
Publication details – DOI
- 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
Publication details – DOI
- 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
Publication details
2015
- 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
Publication details
2014
- 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
Publication details – URL
Posters
2017
- Adaptive Tier Selection for NetCDF and HDF5 (Jakob Lüttgau, Eugen Betke, Olga Perevalova, Julian Kunkel, Michael Kuhn), Denver, CO, USA, SC17, 2017-11-14
Publication details – Publication
- Toward Decoupling the Selection of Compression Algorithms from Quality Constraints (Julian Kunkel, Anastasia Novikova, Eugen Betke), Denver, CO, USA, SC17, 2017-11-14
Publication details – Publication
2016
- Utilizing In-Memory Storage for MPI-IO (Julian Kunkel, Eugen Betke), Salt Lake City, Utah, USA, SC16, 2016-11-15
Publication details – URL – Publication
2015
- Using Machine Learning to Predict the Performance of Non-Contiguous I/O (Julian Kunkel, Michaela Zimmer, Eugen Betke), Frankfurt, Germany, 2015-07-13
Publication details – URL
Talks
Supervised Theses
2017
- Database VOL-plugin for HDF5 (Olga Perevalova), Bachelor's Thesis, Advisors: Michael Kuhn, Eugen Betke, 2017-07-05, Thesis – Publication details
Teaching
Wintersemester 2019/2020
- Praktikum „C-Programmierung“ (Ansprechpartner: Jun.-Prof. Dr. Michael Kuhn)
Wintersemester 2018/2019
- Praktikum „C-Programmierung“ (Ansprechpartner: Jun.-Prof. Dr. Michael Kuhn)
- Seminar „Effiziente Programmierung“ (Ansprechpartner: Jun.-Prof. Dr. Michael Kuhn)
- Proseminar „Speicher- und Dateisysteme“ (Ansprechpartner: Jun.-Prof. Dr. Michael Kuhn)
Wintersemester 2017/2018
- Projekt „Big Data“ (Ansprechpartner: Prof. Dr. Julian Kunkel)
- Seminar „Neueste Trends in Big Data Analytics“ (Ansprechpartner: Prof. Dr. Julian Kunkel)
Sommersemester 2016
- Proseminar „Programmierung in R“ (Ansprechpartner: Prof. Dr. Julian Kunkel)
people/alumni/eugen_betke.txt · Last modified: 2021-07-05 00:51 by 127.0.0.1