Viktor Rosenfeld

Research associate at the Database Systems and Information Management group at the Technische Universität Berlin.

My research interests are data management on modern hardware, focusing on heterogeneous CPU/GPU systems; data processing with user-defined functions, focusing on integrating JVM-based and native programming languages; adaptive query execution and auto-tuning techniques.

Recently, I successfully defended my PhD thesis at TU Berlin under the supervision of Volker Markl, where I also collaborated with Sebastian Breß, Steffen Zeuch, and Tilmann Rabl. During my PhD studies, I was fortunate to work at IBM Research Almaden as a student intern, under the mentorship of Pınar Tözün, Rene Mueller, and Fatma Özcan. Before, I received my Diplom-Informatik degree from Humboldt University Berlin, under the supervision of Ulf Leser.


Viktor Rosenfeld

Contact

viktor.rosenfeld@tu-berlin.de
Technische Universität Berlin
Building EN, Room 721
Einsteinufer 17
10587 Berlin, Germany

Publications

PhD thesis
 PDF  Slides
Query Processing on Heterogeneous Systems (draft). Viktor Rosenfeld. 2023. Technische Universität Berlin.

ACM CSUR 2022
 PDF  BibTeX
Query Processing on Heterogeneous CPU/GPU Systems. Viktor Rosenfeld, Sebastian Breß, and Volker Markl. 2022. In ACM Comput. Surv. 55, 1, Article 11 (January 2023).

DATE 2020
 PDF  BibTeX
Efficient Compilation and Execution of JVM-Based Data Processing Frameworks on Heterogeneous Co-Processors. C. Kotselidis, I. Komnios, O. Akrivopoulos, S. Bress, K. Doka, H. Mohammed, G. Mylonas, V. Spitadakis, D. Strimpel, J. Fumero, F. S. Zakkak, M. Papadimitriou, M. Xekalaki, N. Foutris, A. Stratikopoulos, N. Koziris, I. Konstantinou, I. Mytilinis, C. Bitsakos, C. Tsalidis, C. Tselios, N. Kanakis, C. Lutz, V. Rosenfeld, and V. Markl. 2020. 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), Grenoble, France, 2020, pp. 175-179.

DaMoN 2019
 PDF  Poster  Slides  Git  BibTeX
Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, and Volker Markl. 2019. In Proceedings of the 15th International Workshop on Data Management on New Hardware (DaMoN'19). Association for Computing Machinery, New York, NY, USA, Article 8, 1–11.

EDBT 2018
 PDF  Poster  Git  BibTeX
Efficient SIMD Vectorization for Hashing in OpenCL. Tobias Behrens, Viktor Rosenfeld, Jonas Traub, Sebastian Breß, and Volker Markl. 2018. Proceedings of the 21st International Conference on Extending Database Technology, EDBT 2018, Vienna, Austria, March 26-29.

SoCC 2017
 PDF  Poster  Slides  BibTeX
Processing Java UDFs in a C++ environment. Viktor Rosenfeld, Rene Mueller, Pinar Tözün, and Fatma Özcan. 2017. In Proceedings of the 2017 Symposium on Cloud Computing (SoCC '17). Association for Computing Machinery, New York, NY, USA, 419–431.

ADMS 2015
 PDF  Slides  Git  BibTeX
The Operator Variant Selection Problem on Heterogeneous Hardware. Viktor Rosenfeld, Max Heimel, Christoph Viebig, and, Volker Markl. 2015. In the Proceedings of the Sixth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures.

Diplom thesis
 PDF  Slides  BibTeX
A Linguistic Query Language On Top Of A Column-Oriented Main-Memory Database. Viktor Rosenfeld. 2012. Humboldt-Universität zu Berlin.

Student project
 PDF  BibTeX
An Implementation Of The Annis 2 Query Language. Viktor Rosenfeld. 2010. Humboldt-Universität zu Berlin.

DGfS 2009
 Poster  BibTeX
Search and visualization of richly annotated corpora with ANNIS2. Christian Chiarcos, Thomas Krause, Anke Lüdeling, Julia Ritz, Viktor Rosenfeld, Manfred Stede, Amir Zeldes, and Florian Zipser. 2009. In 31. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft (Poster).

Scientific Community Service

Thesis supervision

  • Daniel Castro. Execution of User-Defined Functions Across Programming Language Boundaries in Data Processing Systems. Master thesis. 2023.
  • Christoph Schulte. Modeling Memory Contention on GPUs. Master thesis. 2021.
  • Bhavesh Kumar. Machine Learning Based Automatic Tuning of Hash Aggregation on GPUs. Master thesis. 2020.
  • Christoph Schulte. Modeling Memory Contention on GPUs. Master thesis. 2016.
  • Larissa Granowsky. Laufzeitanalyse von daten-parallelen Systemen auf Multicore-Prozessoren im Vergleich zu serieller Implementierung. Bachelor thesis. 2016.

Teaching


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