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Publikationen

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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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Parallelizing Intra-Window Join on Multicores: An Experimental Study

Shuhao Zhang, Yancan Mao, Jiong He, Philipp Grulich, Steffen Zeuch, Bingsheng He, Richard Ma, Volker Markl

SIGMOD 2021

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Expand your Training Limits! Generating Training Data for ML-based Data Management

Francesco Ventura, Zoi Kaoudi, Jorge Arnulfo Quiane Ruiz, Volker Markl

SIGMOD 2021

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Semantification of Identifiers in Mathematics for Better Math Information Retrieval

Schubotz, Moritz; Grigorev, Alexey; Leich, Marcus; Cohl, Howard S.; Meuschke, Norman; Gipp, Bela; Youssef, Abdou S.; Markl, Volker

SIGIR '16 : Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 135-144. 2016

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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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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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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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