Intelligent Analytics for Massive Data

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1. Clemens Lutz; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl

   Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects

   In: SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2022), June 12-17, Philadelphia, PA, USA, Pages 1017-1032, ISBN 978-1-4503-9249-5, ACM, 2022.

2. Christos Kotselidis; Sotiris Diamantopoulos; Orestis Akrivopoulos; Viktor Rosenfeld; Katerina DOka; Hazeef Mohammed; Georgios Mylonas; Vassilis Spitadakis; Will Morgan; Juan Fumero; Foivos S. Zakkak; Michail Papadimitriou; Maria Xekalaki; Nikos Foutris; Athanasios Stratikopoulos; Nectarios Koziris; Ioannis Konstantinou; Ioannis Mytilinis; Constatinos Bitsakos; Christos Tsalidis; Christos Tselios; Nikolaos Kanakis; Clemens Lutz; Sebastian Breß; Volker Markl

   Efficient Compilation and Execution of JVM-Based Data Processing Frameworks on Heterogeneous Co-Processors

   In: Design, Automation & Test in Europe. Design, Automation & Test in Europe (DATE-2020), March 9-13, Grenoble, France, IEEE, 2020.

3. Clemens Lutz; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl

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

   In: David Maier; Rachel Pottinger (Hrsg.). Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Portland, OR, USA, Pages 1633-1649, ISBN 978-1-4503-6735-6, The Association for Computing Machinery, 2020.

4. Steffen Zeuch; Ankit Chaudhary; Bonaventura Del Monte; Haralampos Gavriilidis; Dimitrios Giouroukis; Philipp M Grulich; Sebastian Breß; Jonas Traub; Volker Markl

   The NebulaStream Platform: Data and Application Management for the Internet of Things

   In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1910.07867, Pages 1-11, arXiv, 2020.

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

   Grizzly: Efficient Stream Processing Through Adaptive Query Compilation

   In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), Pages 2487-2503, ACM, 2020.

6. Jonas Traub; Philipp Grulich; Alejandro Rodríguez Cuéllar; Sebastian Breß; Asterios Katsifodimos; Tilmann Rabl; Volker Markl

   Efficient Window Aggregation with General Stream Slicing

   In: 22th International Conference on Extending Database Technology (EDBT). International Conference on Extending Database Technology (EDBT-2019), 22th, March 26-29, Lisbon, Portugal, OpenProceedings, 2019.

7. Steffen Zeuch; Bonaventura Del Monte; Jeyhun Karimov; Clemens Lutz; Manuel Renz; Jonas Traub; Sebastian Breß; Tilmann Rabl; Volker Markl

   Analyzing Efficient Stream Processing on Modern Hardware

   In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 5, Pages 516-530, VLDB Endowment, 2019.

8. Philipp Grulich; Jonas Traub; Asterios Katsifodimos; Tilmann Rabl; Sebastian Breß; Volker Markl

   Generating Reproducible Out-of-Order Data Streams

   In: Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2019), June 24-28, Darmstadt, Germany, Pages 256-257, ISBN 978-1-4503-6794-3/19/06, ACM, 2019.

9. Viktor Rosenfeld; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl

   Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs

   In: Proceedings of the International Workshop on Data Management on New Hardware. International Workshop on Data Management on New Hardware (DaMoN-2019), located at ACM SIGMOD/PODS 2019, July 1, Amsterdam, Netherlands, ACM, 2019.

10. Jonas Traub; Julius Hülsmann; Sebastian Breß; Tilmann Rabl; Volker Markl

    SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1912.04648, Page 4648, arXiv, 2019.

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