Research Areas

BIFOLD, research into the scientific foundations of Big Data and Machine Learning
DAPHNE, open and extensible systems support for integrated data analysis pipelines that combine Data Management, High Performance Computing and Machine Learning
FONDA, methods for increasing productivity in the development, execution, and maintenance of Data Analysis Workflows

Research Projects

Please check out our project page on GitHub for more information on current and recent projects.

InferDB : a framework for approximating end-to-end inference pipelines using indexes
Stork : a system for automated pipeline analysis, transformation, and data migration
MMlib : a library for managing deep learning models
Skyrise : a distributed, elastic query engine, built on serverless cloud infrastructure
Hyrise : a relational in-memory database system for lecturing and research
PerMA-Bench : a benchmark framework for persistent memory access
Viper : a hybrid PMem-DRAM key-value store
Desis/Deco/Dema : a decentralized stream processing system to push down computations from center nodes to edge devices

Chair

Prof. Dr. Tilmann Rabl
Data Engineering Systems
Room: F-1.03
E-Mail: tilmann.rabl(at)hpi.de

Administrative Assistant: Diana Stephan
Office: Campus II, Building F, Room F-2.01
Tel.: +49-(0)331 5509-280
Fax: +49-(0)331 5509-287
E-Mail: office-rabl(at)hpi.de

News

09.08.2024 | Paper on Query Compilation for GPUs accepted at LWDA '24

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18.07.2024 | Stork paper accepted at DATAI '24

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08.03.2024 | CXL Buffer Management Paper Accepted at HardBD & Active '24

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01.02.2024 | InferDB paper accepted at VLDB '24

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01.02.2024 | POLAR paper accepted at VLDB '24

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Events

24.03.2022 | FG DB Symposium

The Spring Symposium 2022 will be hosted by the Data Engineering Systems Group and Snowflake > Go to article

Directions

Hasso Plattner Institute
Campus II, Building F, 1st Floor
August-Bebel-Str. 88
14482 Potsdam

To visit us, please see these directions.