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Cognitive Assistants

Publications

Page 1 of 3.

  1. Wang Yue; Rafael Moczalla; Manisha Luthra; Tilmann Rabl

    Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications

    In: Proceedings 27th International Conference on Extending Database Technology ( EDBT 2024 ). International Conference on Extending Database Technology (EDBT-2024), 27th International Conference on Extending Database Technology, March 25-28, Italy, ISBN 978-3-89318-091-2, OpenProceeedings.org, 2024.

  2. Lawrence Benson; Carsten Binnig; Jan-Micha Bodensohn; Federico Lorenzi; Jigao Luo; Danica Porobic; Tilmann Rabl; Anupam Sanghi; Russell Sears; Pinar Tözün; Tobias Ziegler

    Surprise Benchmarking: The Why, What, and How

    In: Proceedings of the Tenth International Workshop on Testing Database Systems, DBTest 2024, Santiago, Chile, 9 June 2024. International Workshop on Testing Database Systems (DBTest), Pages 1-8, ACM, 2024.

  3. Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Zoi Kaoudi; Tilmann Rabl; Volker Markl

    Materialization and Reuse Optimizations for Production Data Science Pipelines

    In: SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD), June 12-17, Philadelphia, USA, The ACM Special Interest Group on Management of Data, 2022.

  4. 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.

  5. Bonaventura Del Monte; Steffen Zeuch; Tilmann Rabl; Volker Markl

    Rethinking Stateful Stream Processing with RDMA

    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 1078-1092, ISBN 978-1-4503-9249-5, ACM, 2022.

  6. 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.

  7. Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Ziawasch Abedjan; Tilmann Rabl; Volker Markl

    Optimizing Machine Learning Workloads in Collaborative Environments

    In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD), New York, NY, USA, SIGMOD ’20, ISBN 9781450367356, Association for Computing Machinery, 2020.

  8. 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.

  9. Tilmann Rabl Jeyhun Karimov; Tilmann Rabl; Volker Markl

    AStream: Ad-hoc Shared Stream Processing

    In: SIGMOD '19: Proceedings of the 2019 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2019), June 30 - July 5, Amsterdam, Netherlands, Pages 607-622, ISBN 978-1-4503-5643-5, ACM, New York, NY, 6/2019.

  10. Adrian Bartnik; Bonaventura Del Monte; Tilmann Rabl; Volker Markl

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

    In: Datenbanksysteme für Business, Technologie und Web (BTW 2019). GI-Fachtagungen (BTW), Fachtagung für Datenbanksysteme für Business, Technologie und Web (BTW), March 4-8, Rostock, Germany, Gesellschaft für Informatik, Bonn, 2019.

Contact

Secretary:
Gundula Kleiner
Phone: +49 681 85775 5290

Iris Lambrecht
Phone: +49 681 85775 5006

Team Assistant:
Sylvia Krüger
Phone: +49 681 85775 5152

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
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