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Database Systems and Information Management GroupPublications

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Publications

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Henning Funke Sebastian Breß Stefan Noll Volker Markl Jens Teubner (2018). Pipelined Query Processing in Coprocessor Environments. In International Conference on Management of Data (SIGMOD 2018), 1603-1618.

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Till Rohrmann, Sebastian Schelter, Tilmann Rabl, Volker Markl (2017). Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems. Fachtagung für Business, Technologie und Web (BTW)

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Tilmann Rabl, Arne Jacobsen (2017). Query Centric Partitioning and Allocation for Partially Replicated Database Systems. In Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD '17). ACM, New York, NY, USA,, 315-330..

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Jonas Traub and Tilmann Rabl and Fabian Hueske and Till Rohrmann and Volker Markl (2015). Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und Stapeldaten. Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015., 403–408.

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Leonhard Hennig; Philippe Thomas; Renlong Ai; Johannes Kirschnick; He Wang; Jakob Pannier; Nora Zimmermann; Sven Schmeier; Feiyu Xu; Jan Ostwald; Hans Uszkoreit (2016). Real-Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large-Scale, Heterogeneous Data Streams. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL-16)

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Uwe Jugel, Volker Markl (2012). Interactive Visualization of High­Velocity Event Streams. PhD Workshop@VLDB 12, 66-71.

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Uwe Jugel, Zbigniew Jerzak, Gregor Hackenbroich, Volker Markl (2015). VDDA: automatic visualization-driven data aggregation in relational databases. The VLDB Journal (2016)

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Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl (2019). Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. DaMoN ’19: Data Management on New Hardware. ACM, new York, NY, USA.

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Marko Vrhovnik and Oliver Suhre and Stephan Ewen and Holger Schwarz (2008). PGM/F: A Framework for the Optimization of Data Processing in Business Processes. ICDE, 1584-1587.


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Wook-Shin Han, Jaehwa Kim, Byung Suk Lee, Yufei Tao, Ralf Rantzau, Volker Markl (2009). Cost-Based Predictive Spatiotemporal Join. Journal IEEE Transactions on Knowledge and Data Engineering., 220-233.

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