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TU Berlin

Inhalt des Dokuments

Publikationen

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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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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Databases and Web 2.0 panel at VLDB 2007

Sihem Amer-Yahia and Volker Markl and Alon Y. Halevy and AnHai Doan and Gustavo Alonso and Donald Kossmann and Gerhard Weikum

SIGMOD Record, 49-52. 2008

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ScootR: Scaling R Dataframes on Dataflow Systems

Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan Fumero, Volker Markl

SoCC'18:, 288-300. 2018

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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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On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines

Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl and Volker Markl

Tagungsband Datenbanksysteme für Business, Technologie und Web (BTW 2019), DBIS. 2019

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