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
- 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: Prof. Dr. Michael Kuhn)
Wintersemester 2018/2019
- Praktikum „C-Programmierung“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
- Seminar „Effiziente Programmierung“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
- Proseminar „Speicher- und Dateisysteme“ (Ansprechpartner: 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