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TU Berlin

Inhalt des Dokuments

Publications

2018

Tobias Behrens Viktor Rosenfeld Jonas Traub Sebastian Breß Volker Markl (2018). Efficient SIMD Vectorization for Hashing in OpenCL. 21th International Conference on Extending Database Technology (EDBT). 2018

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Jonas Traub Philipp Grulich Alejandro Rodríıguez Cuéllar Sebastian Breß Asterios Katsifodimos Tilmann Rabl Volker Markl (2018). Scotty: Efficient Window Aggregation for out-of-order Stream Processing. International Conference on Data Engineering (ICDE). 2018

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Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl (2018). Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing. International Conference on Extending Database Technology (EDBT). 2018

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Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl (2018). Benchmarking Distributed Stream Data Processing Systems. International Conference on Data Engineering (ICDE). 2018

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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). ACM. 2018

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2017

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl (2017). BlockJoin: Efficient Matrix Partitioning Through Joins.. In the Proceedings of the VLDB Endowment, Vol. 10, No. 13. 2017 (to be presented in VLDB 2018)

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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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Paris Carbone, Gábor E. Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl, Seif Haridi (2017). "Large-Scale Data Stream Processing Systems. Book chapter on Large-Scale Data Stream Processing Systems, part of the Handbook of Big Data Technologies 2017 (Elsevier): 219-260.


Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba Sidló, Andras Benczur (2017). STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion. Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference

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Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl (2017). PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. in Proc. 20th International Conference on Extending Database Technology (EDBT)

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