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C

Efficient and Scalable k‑Means on GPUs

Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl

Datenbank-Spektrum 18(3), 157-169. 2018

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Efficient k-means on GPUs

Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl

Proceedings of the 14th International Workshop on Data Management on New Hardware (DAMON '18), 3:1 - 3:3. 2018

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Benchmarking Distributed Data Processing Systems for Machine Learning Workloads

Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl

TPCTC 2018, 42-57. 2018

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PEEL: A Framework for benchmarking distributed systems and algorithms

Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl

Ninth TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2017) @VLDB 2017 2017

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Benchmarking Distributed Data Processing Systems for Machine Learning Workloads

Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl

Performance Evaluation and Benchmarking for the Era of Artificial Intelligence - 10th TPC Technology Conference, TPCTC 2018 2018

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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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GeoBlocks: A Query-Cache Accelerated Data Structure for Spatial Aggregation over Polygons

Christian Winter, Andreas Kipf, Christoph Anneser, Eleni Tzirita Zacharatou, Thomas Neumann, Alfons Kemper

EDBT 2021

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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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