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Sebastian Breß and Norbert Siegmund and Max Heimel and Michael Saecker and Tobias Lauer and Ladjel Bellatreche and Gunter Saake (2014). Load-aware inter-co-processor parallelism in database query processing. Data Knowl. Eng., 60–79.

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Sebastian Breß and Max Heimel and Michael Saecker and Bastian Kocher and Volker Markl and Gunter Saake (2014). Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware. PVLDB, 1609–1612.

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David Broneske and Sebastian Breß and Max Heimel and Gunter Saake (2014). Toward Hardware-Sensitive Database Operations. Proc. 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014., 229–234.

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Peter Buneman and Volker Markl and Beng Chin Ooi and Kenneth A. Ross (2010). Special issue: best papers of VLDB 2008. VLDB J., 1-2.


C

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

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Akbik Alan Julinda Silvia Boden Christoph (2014). Extracting a Repository of Events and Event References from News Clusters. Association for Computational Linguistics, S. 49-53.

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


Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl (2017). PEEL: A Framework for benchmarking distributed systems and algorithms. Ninth TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2017) @VLDB 2017


Christoph Boden, Andrea Spina, Tilmann Rabl, Volker Markl. (2017). Benchmarking Data Flow Systems for Scalable Machine Learning. Proceedings of the 4th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'17), Jan Hidders (Ed.). ACM, New York, NY, USA, Article 5, 10 pages., 10.

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Christoph Boden, Tilmann Rabl, Volker Markl (2017). Distributed Machine Learning - but at what COST?. ML Systems Workshop@ NIPS2017

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