Maximilian Langohr

Maximilian Langohr, M. Sc.


Department of Computer Science
Chair of Computer Science 6 (Data Management)

Room: Room 08.151
Martensstr. 3
91058 Erlangen

Research Projects


This project is funded by the German Research Foundation (DFG) within the Priority Program SPP 2037 “Scalable Data Management for Future Hardware”.

The goal of this project is to provide novel hardware and optimisation techniques for scalable, high-performance processing of Big Data. We particularly target huge data sets with flexible schemata (row-oriented, column-oriented, document-oriented, irregular, and/or non-indexed) as well as data streams as found in click-stream analysis, enterprise sources like emails, software logs and discussion-forum archives, as well as produced by sensors in IoT and Industrie 4.0. In this realm, the project investigates the potential of hardware-reconfigurable, FPGA-based SoCs for near-data processing where computations are pushed towards such heterogeneous data sources. Based on FPGA technology and in particular on their dynamic reconfiguration, we propose a generic architecture called ReProVide for low-cost processing of database queries.

The concepts are intended to enable the integration of FPGA-based acceleration support into available SQL, NoSQL, and in-memory database management systems (DBMSs) as well as stream-processing frameworks. Our intention is to attach volatile and non-volatile storage directly to ReProVide nodes, which will not only contain cleansed and integrated data sets, but can also be used for temporarily or persistently storing uncleaned data from new data sources and data streams.





Local publication list (CRIS)