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Publications

2018

Benchmarking Distributed Data Processing Systems for Machine Learning Workloads

Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl

TPCTC 2018, 42-57. 2018

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Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl

CoRR abs/1809.06845 2018

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Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing

Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl

International Conference on Extending Database Technology (EDBT 2018). 2018, 477-480. 2018

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Efficient k-means on GPUs

Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl

Proceedings of the 14th International Workshop on Data Management on New Hardware (DAMON '18), 3:1 - 3:3. 2018

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Benchmarking Distributed Stream Data Processing Systems

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, 1507-1518. 2018

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Pipelined Query Processing in Coprocessor Environments

Henning Funke Sebastian Breß Stefan Noll Volker Markl Jens Teubner

In International Conference on Management of Data (SIGMOD 2018), 1603-1618. 2018

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ScootR: Scaling R Dataframes on Dataflow Systems

Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan Fumero, Volker Markl

SoCC'18:, 288-300. 2018

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Mosaics in Big Data, Stratosphere, Apache Flink, and Beyond

Volker Markl

ACM International Conference on Distributed and Event-based Systems (DEBS 2018):, 7-13. 2018

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2017

BlockJoin: Efficient Matrix Partitioning Through Joins.

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl

In the Proceedings of the VLDB Endowment, Vol. 10, No. 13. 2017 (to be presented in VLDB 2018) 2017

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