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TU Berlin

Inhalt des Dokuments

Publikationen

V

Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs

Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

DaMoN ’19: Data Management on New Hardware. ACM, new York, NY, USA. 2019

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Big Data Platforms for Data Analytics

Volker Markl, Vinayak R. Borkar, Matei Zaharia, Till Westmann, Alexander Alexandrov

Encyclopedia of Database Systems, Second Edition. Springer. 2018

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PGM/F: A Framework for the Optimization of Data Processing in Business Processes

Marko Vrhovnik and Oliver Suhre and Stephan Ewen and Holger Schwarz

ICDE, 1584-1587. 2008

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W

Sharing hash codes for multiple purposes

Wiktor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima

Japanese Journal of Statistics and Data Science, 215–246. 2018

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Cost-Based Predictive Spatiotemporal Join

Wook-Shin Han, Jaehwa Kim, Byung Suk Lee, Yufei Tao, Ralf Rantzau, Volker Markl

Journal IEEE Transactions on Knowledge and Data Engineering., 220-233. 2009

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X

Efficient fault-tolerance for iterative graph processing on distributed dataflow systems

Xu, Chen; Holzemer, Markus; Kaul, Manohar; Markl, Volker

2016 IEEE 32nd International Conference on Data Engineering (ICDE), 613-624. 2016

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Y


Z


HyMAC: A Hybrid Matrix Computation System

Zihao Chen, Zhizhen Xu, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou

Proc. VLDB Endow., 2699 - 2702. 2021

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Hybrid Evaluation for Distributed Iterative Matrix Computation

Zihao Chen, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou

SIGMOD 2021

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