Bull I/O Cooperation

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

Praktikum „C-Programmierung“ (Ansprechpartner: Dr. Michael Kuhn)

Seminar „Effiziente Programmierung“ (Ansprechpartner: Dr. Michael Kuhn)

Proseminar „Speicher- und Dateisysteme“ (Ansprechpartner: Dr. Michael Kuhn)

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

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

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

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
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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
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Poster: Adaptive Tier Selection for NetCDF and HDF5 (Jakob Lüttgau, Eugen Betke, Olga Perevalova, Julian Kunkel, Michael Kuhn), Denver, CO, USA, SC17, 2017-11-14
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Poster: Toward Decoupling the Selection of Compression Algorithms from Quality Constraints (Julian Kunkel, Anastasia Novikova, Eugen Betke), Denver, CO, USA, SC17, 2017-11-14
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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
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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
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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
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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
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Poster: Utilizing In-Memory Storage for MPI-IO (Julian Kunkel, Eugen Betke), Salt Lake City, Utah, USA, SC16, 2016-11-15
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Poster: Using Machine Learning to Predict the Performance of Non-Contiguous I/O (Julian Kunkel, Michaela Zimmer, Eugen Betke), Frankfurt, Germany, 2015-07-13
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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
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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
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Database VOL-plugin for HDF5 (Olga Perevalova), Bachelor's Thesis, Advisors: Michael Kuhn, Eugen Betke, 2017-07-05, Thesis – Publication details