Eugen Betke
betke@dkrz.de | |
Address | DKRZ Innovation Lab, room 408 |
Telephone | +49 40 460094-422 |
External website | https://wr.informatik.uni-hamburg.de/people/eugen_betke |
Projects
Teaching
Wintersemester 2017/2018
- Projekt „Big Data“ (Contact: Dr. Julian Kunkel)
Sommersemester 2016
Open Thesis Topics
Theses
- Automatisches Lernen der Leistungscharakteristika von Paralleler Ein-/Ausgabe, Eugen Betke (Master's Thesis), Advisors: Dr. Julian Kunkel, 2015-06-27, Thesis Presentation BibTeX
Publications
- \myPub{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}
- \myPub{}{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}
- \myPub{}{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}
- \myPub{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, Springer, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-59851-8, ISSN: 1611-3349}
- \myPub{}{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}
- \myPub{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, Springer, HPC IODC workshop, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-34356-9, ISSN: 1611-3349}
- \myPub{}{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, Springer, HPC-IODC workshop, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-34356-9, ISSN: 1611-3349}
- \myPub{}{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, Springer, WOPSSS workshop, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-02465-9, ISSN: 1611-3349}
- \myPub{}{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, Springer, HPC-IODC workshop, ISC HPC, Frankfurt, Germany, ISBN: 978-3-030-02465-9, ISSN: 1611-3349}
- \myPub{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, Publishing Center of South Ural State University}
- \myPub{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}
- \myPub{}{Adaptive Tier Selection for NetCDF and HDF5}{Jakob Lüttgau, Eugen Betke, Olga Perevalova, Julian Kunkel, Michael Kuhn}{Poster, SC17, Denver, CO, USA}
- \myPub{}{Toward Decoupling the Selection of Compression Algorithms from Quality Constraints}{Julian Kunkel, Anastasia Novikova, Eugen Betke}{Poster, SC17, Denver, CO, USA}
- \myPub{}{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, Springer, ISC High Performance, Frankfurt, Germany, ISBN: 978-3-319-67629-6}
- \myPub{}{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, Springer, ISC High Performance, Frankfurt, Germany, ISBN: 978-3-319-67629-6}
- \myPub{}{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}
- \myPub{}{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, Springer, ISC High Performance, Frankfurt, Germany, ISBN: 978-3-319-67629-6}
- \myPub{2016}{Utilizing In-Memory Storage for MPI-IO}{Julian Kunkel, Eugen Betke}{Poster, SC16, Salt Lake City, Utah, USA}
- \myPub{2015}{Using Machine Learning to Predict the Performance of Non-Contiguous I/O}{Julian Kunkel, Michaela Zimmer, Eugen Betke}{Poster, Frankfurt, Germany}
- \myPub{}{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, ISC High Performance, Frankfurt, ISSN: 0302-9743}
- \myPub{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}
All publications as BibTex