Thomas Gruber
Thomas Gruber
Erlangen National High Performance Computing Center
Software & Tools Division
Martensstraße 1
91058 Erlangen
Germany
- Phone number: +49 9131 85-28911
- Fax number: +49 9131 302941
- Email: thomas.gruber@fau.de
Short Bio
During his apprenticeship at the Erlangen Regional Computing Center (RRZE), the IT service provider for the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Thomas Gruber collected experience with all kinds of clustering approaches. Afterwards, he studied Computer Science at RWTH Aachen University with emphasis on parallel programming and operating system kernel development. At the same time, he worked as a research assistant for the HPC group of the RWTH IT center. After receiving his M. Sc. degree, he went back to RRZE to work for the HPC group. Since 2021, he works in the Software & Tools division at Erlangen National High Performance Computing Center (NHR@FAU). Thomas Gruber leads the development of the performance tool suite LIKWID, which comprises easy-to-use tools for hardware performance monitoring, affinity control and micro-benchmarking. He also works on projects involving monitoring and analysis of hardware performance data. He is actively involved in tutorials and lectures about performance analysis and optimization, where he presents the LIKWID tools and leads hands-on exercises.
List of publications extracted from CRIS
2021
- , , , , , , :
Execution-Cache-Memory modeling and performance tuning of sparse matrix-vector multiplication and Lattice quantum chromodynamics on A64FX
In: Concurrency and Computation-Practice & Experience (2021)
ISSN: 1532-0626
DOI: 10.1002/cpe.6512
URL: https://onlinelibrary.wiley.com/doi/full/10.1002/cpe.6512
2020
- , , , , , , :
Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX
2020 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, PMBS 2020 (, 2020-11-12)
In: Proceedings of PMBS 2020: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems 2020
DOI: 10.1109/PMBS51919.2020.00006
2019
- , , , , :
ClusterCockpit-A web application for job-specific performance monitoring
2019 IEEE International Conference on Cluster Computing, CLUSTER 2019 (Albuquerque, NM, 2019-09-23 - 2019-09-26)
In: Proceedings - IEEE International Conference on Cluster Computing, ICCC 2019
DOI: 10.1109/CLUSTER.2019.8891017 - , , , , :
Collecting and presenting reproducible intranode stencil performance: INSPECT
In: Supercomputing Frontiers and Innovations 6 (2019), p. 4-25
ISSN: 2409-6008
DOI: 10.14529/js?190301
2017
- , , , :
LIKWID monitoring stack: A flexible framework enabling job specific performance monitoring for the masses
2017 IEEE International Conference on Cluster Computing, CLUSTER 2017
DOI: 10.1109/CLUSTER.2017.115
2015
- , , , :
Overhead Analysis of Performance Counter Measurements
43rd International Conference on Parallel Processing Workshops, ICPPW 2014
DOI: 10.1109/ICPPW.2014.34
List of activities extracted from CRIS
2022
- Improving the hardware-software-mapping on EoCoE-II applications
(Speech / Talk)
2022-06-21, Event: EoCoE-II, Final Meeting, URL: https://sites.google.com/view/eocoe2/programme - PRACE Course: HPC Code Optimisation Workshop 2022 - LIKWID
(Speech / Talk)
2022-06-29, Event: PRACE Course: HPC Code Optimisation Workshop 2022, URL: https://doku.lrz.de/display/PUBLIC/PRACE+Course:+HPC+Code+Optimisation+Workshop+2022 - Using the LIKWID tool suite
(Speech / Talk)
2022-11-03, Event: RSE Seminar, University of Cambridge, UK, URL: https://talks.cam.ac.uk/talk/index/180320
2021
- OOKAMI A64FX Webinar: LIKWID, OSACA, SpMV
(Speech / Talk)
2021-07-27, Event: OOKAMI Hackathon, URL: https://moodle.nhr.fau.de/course/view.php?id=8 - PRACE Course: HPC Code Optimisation Workshop 2021 - LIKWID
(Speech / Talk)
2021-11-04, Event: PRACE Course: HPC Code Optimisation Workshop 2021, URL: https://doku.lrz.de/display/PUBLIC/PRACE+Course:+HPC+Code+Optimisation+Workshop+2021