people:anna_fuchs
Table of Contents
Anna Fuchs
anna.fuchs@informatik.uni-hamburg.de | |
Address | DKRZ, room 109 |
Telephone | +49 40 460094-217 |
Biography
Anna has received a master’s level degree and begun her work as a doctoral researcher at Universität Hamburg in June 2016. The focus of her work is parallel I/O and compression within distributed parallel filesystems. While being a student, she has worked for several years as student assistant where she mainly has been a tutor for the lecture “High Performance Computing”. During her studies she also participated in conferences and competitions related to HPC.
Projects
Theses
- Client-Side Data Transformation in Lustre (Anna Fuchs), Master's Thesis, Advisors: Michael Kuhn, 2016-05-25, Publication details
- Automated File System Correctness and Performance Regression Tests (Anna Fuchs), Bachelor's Thesis, Advisors: Michael Kuhn, 2013-09-23, Thesis – Publication details – URL
Publications
2022
- 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
Publication details – DOI
- 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
Publication details – DOI – Publication
- Automated performance analysis tools framework for HPC programs (Maximilian Keiff, Frederic Voigt, Anna Fuchs, Michael Kuhn, Jannek Squar, Thomas Ludwig), In Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES2022, Procedia Computer Science (207), pp. 1067–1076, (Editors: Matteo Cristani, Carlos Toro, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain), Elsevier, KES2022, Verona, Italy, 2022
Publication details – DOI – Publication
- Content queries and in-depth analysis on version-controlled software (Jannek Squar, Niclas Schroeter, Anna Fuchs, Michael Kuhn, Thomas Ludwig), In Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES2022, Procedia Computer Science (207), pp. 1261–1270, (Editors: Matteo Cristani, Carlos Toro, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain), Elsevier, KES2022, Verona, Italy, 2022
Publication details – DOI – Publication
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
Posters
2017
- Enhanced Adaptive Compression in Lustre (Anna Fuchs, Michael Kuhn, Julian Kunkel, Thomas Ludwig), Frankfurt, Germany, ISC High Performance 2017, 2017-06-20
Publication details – URL
Talks
2019
- Enhanced Adaptive Compression in Lustre (Anna Fuchs), Lustre Developer Summit 2019, Paris, France, 2019-09-25 Presentation
2016
- Enhanced Adaptive Compression in Lustre (Anna Fuchs), Lustre Developer Summit 2016, Paris, France, 2016-09-22 Presentation
Supervised Theses
2022
- System profiling and data aggregation for smart compression in Lustre (Pablo Correa Gómez), Master's Thesis, Advisors: Anna Fuchs, Michael Kuhn, Reviewers: Michael Kuhn, Thomas Ludwig, 2022-08-17, Thesis – Publication details
- 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
2019
- Efficient handling of compressed data in ZFS (Hauke Stieler), Bachelor's Thesis, Advisors: Michael Kuhn, Anna Fuchs, Reviewers: Michael Kuhn, Anna Fuchs, 2019-01-16, Thesis – Publication details
2018
- Development of a decision support system for performance tuning in Lustre (Julius Plehn), Bachelor's Thesis, Advisors: Michael Kuhn, Anna Fuchs, 2018-05-23, Thesis – Publication details
2017
- Efficient interaction between Lustre and ZFS for compression (Sven Schmidt), Bachelor's Thesis, Advisors: Anna Fuchs, Michael Kuhn, 2017-08-28, Thesis – Publication details
- Page-Based Compression in the Linux Kernel (Benjamin Warnke), Bachelor's Thesis, Advisors: Michael Kuhn, Anna Fuchs, 2017-08-18, Thesis – Publication details
- Dynamic decision-making for efficient compression in parallel distributed file systems (Janosch Hirsch), Master's Thesis, Advisors: Michael Kuhn, Anna Fuchs, 2017-08-12, Thesis – Publication details
- Quality of service improvement in ZFS through compression (Niklas Bunge), Master's Thesis, Advisors: Michael Kuhn, Anna Fuchs, 2017-05-31, Thesis – Publication details
- Support for external data transformation in ZFS (Niklas Behrmann), Master's Thesis, Advisors: Michael Kuhn, Anna Fuchs, 2017-04-06, Thesis – Publication details
Teaching
Wintersemester 2024/2025
- Vorlesung „Hochleistungsrechnen“ (Ansprechpartner: Anna Fuchs)
- Seminar „Supercomputer: Forschung und Innovation“ (Ansprechpartner: Anna Fuchs)
- Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)
- Projekt mit Seminar „Parallele Systeme für Fortgeschrittene“ (Ansprechpartner: Anna Fuchs)
Sommersemester 2024
- Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)
- Proseminar „Supercomputer: Konzepte und Technologien“ (Ansprechpartner: Dr. Jannek Squar)
Wintersemester 2023/2024
- Vorlesung „Hochleistungsrechnen“ (Ansprechpartner: Anna Fuchs)
- Seminar „Supercomputer: Forschung und Innovation“ (Ansprechpartner: Anna Fuchs)
- Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)
- Projekt mit Seminar „Parallele Systeme für Fortgeschrittene“ (Ansprechpartner: Anna Fuchs)
- Wettbewerb „Student Cluster Competition“ (Ansprechpartner: Anna Fuchs)
Sommersemester 2023
- Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)
Wintersemester 2022/2023
- Vorlesung „Hochleistungsrechnen“ (Ansprechpartner: Anna Fuchs)
- Seminar „Supercomputer: Forschung und Innovation“ (Ansprechpartner: Anna Fuchs)
- Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)
- Projekt mit Seminar „Parallele Systeme für Fortgeschrittene“ (Ansprechpartner: Anna Fuchs)
- Wettbewerb „Student Cluster Competition“ (Ansprechpartner: Anna Fuchs)
Sommersemester 2022
- Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)
- Proseminar „Python“ (Ansprechpartner: Dr. Jannek Squar)
- Seminar „Supercomputer: Forschung und Innovation“ (Ansprechpartner: Anna Fuchs)
Wintersemester 2021/2022
- Vorlesung „Hochleistungsrechnen“ (Ansprechpartner: Anna Fuchs)
- Seminar „Supercomputer: Forschung und Innovation“ (Ansprechpartner: Anna Fuchs)
- Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)
- Projekt mit Seminar „Parallele Systeme für Fortgeschrittene“ (Ansprechpartner: Anna Fuchs)
- Wettbewerb „Student Cluster Competition“ (Ansprechpartner: Anna Fuchs)
Sommersemester 2021
- Projekt „Parallele Systeme“ (Ansprechpartner: Anna Fuchs)
- Proseminar „Effiziente Programming in C“ (Ansprechpartner: Anna Fuchs)
Wintersemester 2020/2021
- Vorlesung „Hochleistungsrechnen“ (Ansprechpartner: Anna Fuchs)
- Projekt mit Seminar „Paralleles Rechnen für Fortgeschrittene“ (Ansprechpartner: Anna Fuchs)
- Projekt „Parallelrechnerevaluation“ (Ansprechpartner: Anna Fuchs)
- Seminar „Effiziente Programmierung“ (Ansprechpartner: Anna Fuchs)
Wintersemester 2019/2020
- Seminar „Effiziente Programmierung“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
Sommersemester 2019
- Projekt „Parallelrechnerevaluation“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
Wintersemester 2017/2018
- Seminar „Effiziente Programmierung“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
- Projekt „Parallelrechnerevaluation“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
- Proseminar „Speicher- und Dateisysteme“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
Sommersemester 2017
- Wettbewerb „Student Cluster Competition“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
Wintersemester 2016/2017
- Seminar „Effiziente Programmierung“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
- Projekt „Parallelrechnerevaluation“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
Sommersemester 2016
- Wettbewerb „Student Cluster Competition“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
Sommersemester 2015
- Wettbewerb „Student Cluster Competition“ (Ansprechpartner: Prof. Dr. Michael Kuhn)
people/anna_fuchs.txt · Last modified: 2021-08-18 14:01 by 127.0.0.1