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C

Benchmarking Data Flow Systems for Scalable Machine Learning

Christoph Boden, Andrea Spina, Tilmann Rabl, Volker Markl.

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. 2017

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Distributed Machine Learning - but at what COST?

Christoph Boden, Tilmann Rabl, Volker Markl

ML Systems Workshop@ NIPS2017 2017

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Extracting a Repository of Events and Event References from News Clusters

Akbik Alan Julinda Silvia Boden Christoph

Association for Computational Linguistics, S. 49-53. 2014

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Fault-Tolerance for Distributed Iterative Dataflows in Action

Chen Xu, Rudi Poepsel Lemaitre, Juan Soto, Volker Markl

PVLDB 11(12), 1990-1993. 2018

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B

Special issue: best papers of VLDB 2008

Peter Buneman and Volker Markl and Beng Chin Ooi and Kenneth A. Ross

VLDB J., 1-2. 2010

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Toward Hardware-Sensitive Database Operations

David Broneske and Sebastian Breß and Max Heimel and Gunter Saake

Proc. 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014., 229–234. 2014

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Load-aware inter-co-processor parallelism in database query processing

Sebastian Breß and Norbert Siegmund and Max Heimel and Michael Saecker and Tobias Lauer and Ladjel Bellatreche and Gunter Saake

Data Knowl. Eng., 60–79. 2014

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Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware

Sebastian Breß and Max Heimel and Michael Saecker and Bastian Kocher and Volker Markl and Gunter Saake

PVLDB, 1609–1612. 2014

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Robust Query Processing in Co-Processor-accelerated Databases

Breß, Sebastian; Funke, Henning; Teubner, Jens

Proceedings of the 2016 International Conference on Management of Data (SIGMOD 2016), 1891-1906. 2016

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Robust recognition of complex entities in text exploiting enterprise data and NLP-techniques

Falk Brauer and Marcus Schramm and Wojciech M. Barczynski and Alexander Löser and Hong-Hai Do

ICDIM, 551-558. 2008

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