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TU Berlin

Inhalt des Dokuments

Publications

E

Benchmarking in the Cloud: What It Should, Can, and Cannot Be

Enno Folkerts, Alexander Alexandrov, Kai Sachs, Alexandru Iosup, Volker Markl, Cafer Tosun

Selected Topics in Performance Evaluation and Benchmarking, Part of the Lecture Notes in Computer Science book series (LNCS), TPCTC 2012, 173-188. 2012

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Iterative parallel data processing with stratosphere: an inside look

Stephan Ewen and Sebastian Schelter and Kostas Tzoumas and Daniel Warneke and Volker Markl

SIGMOD Conference, 1053-1056. 2013

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F

Mapping enterprise entities to text segments

Falk Brauer, Alexander Löser, Hong-Hai Do

Proceedings of the 2nd PhD workshop on Information and knowledge management, 85-88. 2008

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G

Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl

CoRR abs/1809.06845 2018

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H

Discovering and Exploiting Statistical Properties for Query Optimization in Relational Databases: A Survey

Peter J. Haas and Ihab F. Ilyas and Guy M. Lohman and Volker Markl

Statistical Analysis and Data Mining, 223-250. 2009

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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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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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Demonstrating Transfer-Efficient Sample Maintenance on Graphics Cards

Max Heimel and Martin Kiefer and Volker Markl

Proceedings of the 18th International Conference on Extending Database Technology, EDBT 2015, Brussels, Belgium, March 23-27, 2015., 513–516. 2015

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Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine

Max Heimel and Filip Haase and Martin Meinke and Sebastian Breß and Michael Saecker and Volker Markl

Proc. 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014., 616–619. 2014

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Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation

Max Heimel and Martin Kiefer and Volker Markl

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015, 1477–1492. 2015

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