Andreas Kunft

Andreas Kunft

Office EN 734
Einsteinufer 17
10587 Berlin, Germany

+49 30 314 22799

LinkedIn Profil: Andreas Kunft :octocat:

I am a PhD student/research associate at Technische Universität Berlin in the Database Systems and Information Management Group (DIMA) led by Volker Markl. Prior to that, I received a M.Sc. degree at TU Berlin where I also worked as student assistant at the compiler group.

My research interests include massive parallel processing frameworks, databases, and compilers, with focus on integrating database and compiler techniques for holistic optimization of analytics pipelines.


ScootR: Scaling R Dataframes on Dataflow Systems
Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, and Volker Markl. Proceedings of the ACM Symposium on Cloud Computing. ACM, 2018.

BlockJoin: Efficient Matrix Partitioning Through Joins
Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, and Volker Markl. Proceedings of the VLDB Endowment 10.13 (2017): 2061-2072.

PEEL: A Framework for Benchmarking Distributed Systems and Algorithms
Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, and Volker Markl. Technology Conference on Performance Evaluation and Benchmarking. Springer, Cham, 2017.

Bridging the gap: towards optimization across linear and relational algebra
Andreas Kunft, Alexander Alexandrov, Asterios Katsifodimos, and Volker Markl. Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond. ACM, 2016.

Implicit Parallelism through Deep Language Embedding
Alexander Alexandrov, Andreas Kunft, Asterios Katsifodimos, Felix Schüler, Lauritz Thamsen, Odej Kao, Tobias Herb, Volker Markl. Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. ACM, 2015.

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