Jakob Lüttgau

ESiWACE

Modeling and Simulation of Tape Libraries for Hierarchical Storage Management Systems (Jakob Lüttgau), Master's Thesis, Advisors: Julian Kunkel, 2016-04-09, Thesis – Presentation – Publication details

Flexible Event Imitation Engine for Parallel Workloads (Jakob Lüttgau), Bachelor's Thesis, Advisors: Julian Kunkel, 2014-03-18, Thesis – Publication details

Data-Aware Compression for HPC using Machine Learning (Julius Plehn, Anna Fuchs, Michael Kuhn, Jakob Lüttgau, Thomas Ludwig), In ACM SIGOPS Operating Systems Review (56), pp. 62–69, 2022-06-14
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Data-Aware Compression for HPC using Machine Learning (Julius Plehn, Anna Fuchs, Michael Kuhn, Jakob Lüttgau, Thomas Ludwig), In Proceedings of the Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, pp. 8–15, ACM, CHEOPS2022, Rennes, France, 2022
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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
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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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Interaktiver C-Programmierkurs, ICP (Julian Kunkel, Jakob Lüttgau), In HOOU Content Projekte der Vorprojektphase 2015/16 – Sonderband zum Fachmagazin Synergie (Kerstin Mayrberger), pp. 182–186, Universität Hamburg (Universität Hamburg, Mittelweg 177, 20148 Hamburg), ISBN: 978-3-924330-57-6, 2017-04-10
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Simulation of Hierarchical Storage Systems for TCO and QoS (Jakob Lüttgau, 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. 116–128, (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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Interaktiver C-Programmierkurs, ICP (Julian Kunkel, Jakob Lüttgau), In Synergie, Fachmagazin für Digitalisierung in der Lehre (2), pp. 74–75, 2016-11-16
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Feign: In-Silico Laboratory for Researching I/O Strategies (Jakob Lüttgau, Julian Kunkel), In Parallel Data Storage Workshop (PDSW), 2014 9th, pp. 43–48, SC14, New Orleans, 2014
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The SIOX Architecture – Coupling Automatic Monitoring and Optimization of Parallel I/O (Julian Kunkel, Michaela Zimmer, Nathanael Hübbe, Alvaro Aguilera, Holger Mickler, Xuan Wang, Andrij Chut, Thomas Bönisch, Jakob Lüttgau, Roman Michel, Johann Weging), In Supercomputing, Supercomputing, pp. 245–260, (Editors: Julian Kunkel, Thomas Ludwig, Hans Meuer), Springer International Publishing, ISC'14, ISC events, Leipzig, ISBN: 978-3-319-07517-4, 2014
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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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Modeling and Simulation of Tape Libraries for Hierarchical Storage Systems (Jakob Lüttgau, Julian Kunkel), Salt Lake City, Utah, USA, SC16, 2016-11-15
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Interaktiver C Kurs (ICP) (Julian Kunkel, Thomas Ludwig, Jakob Lüttgau, Dion Timmermann, Christian Kautz, Volker Skwarek), Hamburg, Campus Innovation 2015, 2015-11-27
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Structure-Aware Adaptive Data Placement (Jakob Lüttgau), HPC Workshop, Leogang, Austria, 2017-03-08

Parallel I/O and Performance Evaluation (Jakob Lüttgau), Second NESUS Winter School, Calabria, Italy, 2017-02-22

Data-Aware Compression for HPC using Machine Learning (Julius Plehn), Master's Thesis, Advisors: Michael Kuhn, Anna Fuchs, Jakob Lüttgau, Reviewers: Michael Kuhn, Thomas Ludwig, 2022-05-09, Thesis – Publication details

Scimon - Scientific Monitor for Automated Run Logging and Reproducibility (Daniel Bremer), Master's Thesis, Advisors: Jakob Lüttgau, Michael Kuhn, Reviewers: Michael Kuhn, Thomas Ludwig, 2021-06-09, Publication details

Learned Index Structures: An Evalution of their Performance in Key-Value Storage Solutions (Leonhard Reichenbach), Bachelor's Thesis, Advisors: Michael Kuhn, Jakob Lüttgau, Reviewers: Michael Kuhn, Jakob Lüttgau, 2018-09-10, Thesis – Publication details

Modeling and Performance Prediction of HDF5 data on Objectstorage (Roman Jerger), Master's Thesis, Advisors: Julian Kunkel, Jakob Lüttgau, 2018-03-15, Thesis – Publication details

Proseminar „Python im Hochleistungsrechnen“ (Ansprechpartner: Jakob Lüttgau)

Projekt mit Seminar „Paralleles Rechnen für Fortgeschrittene“ (Ansprechpartner: Prof. Dr. Michael Kuhn)

Projekt „Parallelrechnerevaluation“ (Ansprechpartner: Prof. Dr. Michael Kuhn)

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)

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

Projekt „Parallelrechnerevaluation“ (Ansprechpartner: Prof. Dr. Michael Kuhn)

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

Praktikum „Aufbau eines Clusters“ (Ansprechpartner: Prof. Dr. Michael Kuhn)

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

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

Proseminar „Neueste Trends im Hochleistungsrechnen“ (Ansprechpartner: Prof. Dr. Julian Kunkel)

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