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Hardware-Oblivious Parallelism for In-Memory Column-Stores

Max Heimel and Michael Saecker and Holger Pirk and Stefan Manegold and Volker Markl

PVLDB, 709-720. 2013

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Parallelizing query optimization

Wook-Shin Han and Wooseong Kwak and Jinsoo Lee and Guy M. Lohman and Volker Markl

PVLDB, 188-200. 2008

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STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion

Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba Sidló, Andras Benczur

Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference 2017

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Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models

Martin Kiefer, Max Heimel, Sebastian Breß, Volker Markl

Proceedings of the VLDB Endowment, Volume 10, No. 13. 2017 (to be presented in VLDB 2018) 2017

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Spinning Fast Iterative Data Flows

Stephan Ewen, Kostas Tzoumas, Moritz Kaufmann, Volker Markl

Proceedings of the VLDB Endowment (PVLDB),, 1268-1279. 2012

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Analyzing Efficient Stream Processing on Modern Hardware

Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl

Proceedings of the VLDB Endowment, 516-530. 2019

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An Intermediate Representation for Optimizing Machine Learning Pipelines

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Breß, Tilmann Rabl, Volker Markl

Proceedings of the VLDB Endowment, 1553-1567. 2019

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Myriad: Scalable and Expressive Data Generation.

Alexander Alexandrov, Kostas Tzoumas, Volker Markl

Proceedings of the VLDB Endowment, 1890-1893. 2012

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AJoin: Adhoc Stream Joins at Scale

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the VLDB Endowment 2020

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Efficient Migration of Very Large Distributed State for Scalable Stream Processing

Bonaventura Del Monte

Proceedings of the VLDB 2017 PhD Workshop 2017

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