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Publications

2018

Chen Xu, Rudi Poepsel Lemaitre, Juan Soto, Volker Markl (2018). Fault-Tolerance for Distributed Iterative Dataflows in Action. PVLDB 11(12), 1990-1993.


Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl (2018). Generating custom code for efficient query execution on heterogeneous processors. VLDB J. 27(6), 797-822.


Quoc-Cuong To, Juan Soto, Volker Markl (2018). A survey of state management in big data processing systems. VLDB J. 27(6), 847-872.


Niklas Stoehr, Johannes Meyer, Volker Markl, Qiushi Bai, Taewoo Kim, De-Yu Chen, Chen Li (2018). Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data. BigData 2018, 3723-3732.


Jeyhun Karimov, Tilmann Rabl, Volker Markl (2018). PolyBench: The First Benchmark for Polystores. TPCTC 2018, 24-41.


Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl (2018). Benchmarking Distributed Data Processing Systems for Machine Learning Workloads. TPCTC 2018, 42-57.


Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl (2018). Benchmarking Distributed Stream Processing Engines. CoRR abs/1802.08496


Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl (2018). Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows. CoRR abs/1809.06845


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, 477-480.

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Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl (2018). Efficient k-means on GPUs. Proceedings of the 14th International Workshop on Data Management on New Hardware (DAMON '18), 3:1 - 3:3.

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