Team Member: Tobias Fuchs

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Profiles: DBLP | GitHub | LinkedIn

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What's Happening?

• Prof. Dr. Kranzlmüller's Talk on Super Computing and SuperMUC NG at the CCC 35th. Chaos Convention Congress (35C3)

Research

Research interests:

• Distributed Data Structures with Support for Hierarchical Locality for HPC and Data-Driven Science (DASH Project)
• High-Performance Computing
• Wait-free and Lock-free Progress Properties, and formal verification of their implementation
• Parallel Programming Models
• Embedded- and Real-time Application Development, especially
  Digital Signal Processing

Talks

For livestream recordings and more talks:

• YouTube search: fuchs hpc
• YouTube search: fuchs c++

• The Point of Views: Multidimensional Index Sets for Data Locality in HPC Applications,
  CppCon 2017. Bellevue/Washington, USA. September 2017
  [Talk on event website]
  
• Multidimensional Ranges for HPC,
  MUC++. Munich, Germany. October 2017.
  
• An Information System for Hierarchical Locality - DASH Locality Hierarchies,
  Third Workshop on Programming Abstractions for Data Locality (PADAL 2016). Kobe, Japan. December 2016

Student Works

Feel free to contact me if you are interested in working on one of the topics listed above.

I offer topics for

• Practical courses
• Bachelor- and Master theses

in fields related to my research interests.

Concerning your thesis, my personal advice is to read "The Butterfly's Struggle".

Theses in Progress

• Marius Herget Decomposition of Sparse Multidimensional Arrays in Partitioned Global Address Space,
  Master Thesis, Ludwig-Maximilians-Universität München

Completed Works

• Alexander Isenko, SLAM with Kalman-Filtered Odometry in O(1),
  Master Thesis, Ludwig-Maximilians-Universität München, June 2019
• Felix Mößbauer, High Performance Dynamic Threading Analysis for Hybrid Applications,
  Master Thesis, Ludwig-Maximilians-Universität München, January 2019
• Stefan Effenberger, C++ Graph Concepts for Partitioned Global Address Space,
  Master Thesis, Ludwig-Maximilians-Universität München, May 2018
• Felix Mößbauer, DASH Benchmarking and Performance Assessment,
  Bachelor Thesis, Ludwig-Maximilians-Universität München, March 2016
• Josef Schäffer, Python Bindings for the DASH C++ Template Library,
  Bachelor Thesis, Ludwig-Maximilians-Universität München, June 2016

Publications

• Kowalewski R., Fuchs T., Fürlinger K., Utilizing Heterogeneous Memory Hierarchies in the PGAS Model, Proceedings of the 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2018)
• Fürlinger K., Fuchs T., Kowalewski R., Lehmann B., Investigating the performance and productivity of DASH using the Cowichan problems Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2018
• Moessbauer F., Kowalewsi R., Fuchs T., Fürlinger K., A Portable Multidimensional Coarray for C++, Proceedings of the 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2018)
• Fuchs T., Fürlinger K., Runtime Support for Distributed Dynamic Locality, COLOC Workshop on Data Locality In conjunction with Euro-Par 2017, Santiago de Compostela. Euro-Par 2017 Parallel Processing Workshops, Springer Lecture Notes in Computational Science and Engineering.
• Fuchs T., Fürlinger K., A Multi-Dimensional Distributed Array Abstraction for PGAS, Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications (HPCC) 2016, December, 2016, IEEE CS.
• Fürlinger K., Fuchs T., Kowalewski R., DASH: A C++ PGAS Library for Distributed Data Structures and Parallel Algorithms, Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications (HPCC) 2016, December, 2016, IEEE CS.
• Idrees K., Fuchs T., Glass C. W., Effective use of the PGAS Paradigm: Driving Transformations and Self-Adaptive Behavior in DASH-Applications, in Program Transformation for Programmability in Heterogeneous Architectures (PROHA) Workshop, International Symposium on Code Generation and Optimization (CGO) 2016, March, 2016.
• Fuchs T., Fürlinger K., Expressing and Exploiting Multidimensional Locality in DASH, Software for Exascale Computing - SPPEXA 2013-2015 , pp 341-359. Springer Lecture Notes in Computational Science and Engineering. January, 2016.

My Own Theses

• Master Thesis:
  Evaluation of Task Scheduling Algorithms and Wait-Free Data Structures for Embedded Multi-Core Systems
• Bachelor Thesis:
  Admittance Control of an Omnidirectional Robot Platform (german)

Teaching

Summer Term 2018

• Advanced Software Development with Modern C++
  Prof. Dr. D. Kranzlmüller, T. Fuchs M.Sc.

Winter Term 2017/2018

• Parallel Computing: Grundlagen und Anwendungen
  Prof. Dr. D. Kranzlmüller, Dr. K. Fürlinger, T. Fuchs M.Sc.
• Hauptseminar: Hochleistungsrechner - Aktuelle Trends und Entwicklungen
  Prof. Dr. D. Kranzlmüller, Dr. K. Fürlinger, T. Fuchs M.Sc., Dr.-Ing. C. Trinitis, Dr. J. Weidendorfer,

Summer Term 2017

• Haupt- und Proseminar Rechnernetze: Embedded Communication Systems
  Betreute Themen:
  • Programmiersprachen für Embedded Systems und deren Besonderheiten
  • Realtime Betriebssysteme und deren Anwendungen
  Prof. Dr. D. Kranzlmüller, Prof. Dr. H.-G. Hegering (em.), Tobias Guggemos M.Sc.
• Vorlesung Rechnernetze und verteilte Systeme (U)
  Prof. Dr. D. Kranzlmüller, T. Fuchs M.Sc., Roger Kowalewski M.Sc.

Winter Term 2016

• Advanced Software Development with Modern C++
  Prof. Dr. D. Kranzlmüller, T. Fuchs M.Sc.
• Hauptseminar: Data Science and Ethics
  Prof. Dr. D. Kranzlmüller, Prof. Dr. H.-G. Hegering (em.), Dr. Nils gentschen Felde

Summer Term 2016

• Hauptseminar: Challenges in Parallel Computing
  Prof. Dr. D. Kranzlmüller, Prof. Dr. H.-G. Hegering (em.), T. Fuchs M.Sc.
• Seminar zu ausgewählten Themen der Informatik:
  Challenges in Parallel Computing
  Prof. Dr. D. Kranzlmüller, Prof. Dr. H.-G. Hegering (em.), T. Fuchs M.Sc.

Winter Term 2015/2016

• Parallel Computing: Grundlagen und Anwendungen
  Prof. Dr. D. Kranzlmüller, Dr. K. Fürlinger, T. Fuchs M.Sc.
• Rechnernetze Praktikum
  Prof. Dr. D. Kranzlmüller, PD Dr. V. Danciu, T. Fuchs M.Sc.
• Hauptseminar: Hochleistungsrechner - Aktuelle Trends und Entwicklungen
  Prof. Dr. D. Kranzlmüller, Dr. K. Fürlinger, M. Maiterth M.Sc., T. Fuchs M.Sc. Dr.-Ing. C. Trinitis, Dr. J. Weidendorfer, Dr. J. Breitbart

Summer Term 2015

• Seminar zu ausgewählten Themen der Informatik: Technische Aspekte des Datenschutzes
  Prof. Dr. D. Kranzlmüller, PD Dr. V. Danciu, T. Fuchs M.Sc.

Memberships

• Forum InformatikerInnen für Frieden und Gesellschaftliche Verantwortung

Student Work

Work Completed:

Orlowski, J., Hardware Topology Awareness Through a Graph Query API, Bachelorarbeit, Ludwig-Maximilians-Universität München, September, 2021. Herget, M., Index Set Mappings for Multidimensional Views on PGAS Data Domains, Diplomarbeit, Ludwig-Maximilians-Universität München, August, 2020. Visintini, V., Evaluation of Real-Time Music Feature Extraction for Reharmonization, Diplomarbeit, Ludwig-Maximilians-Universität München, August, 2020. Isenko, A., SLAM with Kalman-Filtered Odometry in O(1), Diplomarbeit, Ludwig-Maximilians-Universität München, März, 2019. Mößbauer, F., High Performance Dynamic Threading Analysis for Hybrid Applications, Diplomarbeit, Ludwig-Maximilians-Universität München, Januar, 2019. Effenberger, S., C++ Graph Concepts for Partitioned Global Address Space, Diplomarbeit, Ludwig-Maximilians-Universität München, Mai, 2018. Schäffer, J., Python-Bindings for the DASH C++ Template Library, Bachelorarbeit, Ludwig-Maximilians-Universität München, Juni, 2017. Mößbauer, F., DASH Benchmarking and Performance Assessment, Bachelorarbeit, Ludwig-Maximilians-Universität München, März, 2016.

Publications

• Fuchs, T., Fuerlinger, K., A Multidimensional Distributed Array Abstraction for PGAS, In Proceedings of the 18th {IEEE} International Conference on High Performance Computing and Communications (HPCC 2016), 2016, 1061-1068, IEEE CS CPS, Sydney, Australia, Dezember, 2016.
• Fuchs, T., Fuerlinger, K., Expressing and Exploiting Multidimensional Locality in DASH, In Software for Exascale Computing - SPPEXA 2013-2015, 2016, 341-359, Springer, Garching, Germany, Januar, 2016.