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Publikationen

P

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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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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S

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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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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Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines

Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl

SIGMOD 2020

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Grizzly: Efficient Stream Processing Through Adaptive Query Compilation

Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl

SIGMOD 2020

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Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects

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

SIGMOD 2020

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Optimizing Machine Learning Workloads in Collaborative Environments

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan,Tilmann Rabl, Volker Markl

SIGMOD 2020

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Parallelizing Intra-Window Join on Multicores: An Experimental Study

Zhang, Shuhao and Mao, Yancan and He, Jiong and Grulich, Philipp M. and Zeuch, Steffen and He, Bingsheng and Ma, Richard T. B. and Markl, Volker

SIGMOD 2021

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