Data Management Lab

RL@Cloud RL@Cloud is a BW-Invest funded project aiming to explore new cloud designs for the sustainable use of large datasets, containing structured high- resolution measurement data.

neoDBMS.2 is a DFG funded project that pursues architectures for larger-than-memory, NDP-capable, post-Moore DBMS on heterogeneous systems, based on cache-coherent interconnects such as CXL.

DFG neoDBMS - aims to explore new architectures, abstractions and algorithms for intelligent database storage capable of performing Near-Data Processing (NDP)and executing data- or compute-intensive DBMS operations in-situ.

HAWprom - is a project funded by the MWK, Baden-Wuerttemberg with the goal of pursuing successful dissertations in the field of near-data processing.

Graudierten Kolleg Services Computing - is funded by the MWK, Baden-Wuerttemberg with the goal of pursuing research in the field of data-intensive infrastructures for services computing.

pimDBMS - is an special purspose equipment grant from MWK, Baden-Wuerttemberg with the goal of Processing-In-Memory infrastrcutures.

BMBF PANDAS - Programmable Appliance for Near-Data Processing Accelerated Storage. Even today, transporting data between mass storage and servers is proving more problematic for many big data / cloud applications bottleneck. In PANDAS, both the computing power and the energy efficiency of these demanding applications should be realized through the implementation a novel intelligent mass storage and the development optimized on it software be increased. The technological core is to designed and manufacture a cascadable PCI Express expansion card, having a variety of parallel flash memory banks as mass storage which in turn very quickly adapts to a modern reconfigurable Multi-processor system-on-chip (MPSoC). By the Use of Programmable Logic (FPGA) on the MPSoC High throughput, low latency data processing operations are achieved directly within the mass storage devices (so-called Near-Data Processing, NDP ). The PANDAS card, whose architecture is a unique feature can then be flexible to expand commercial server in Data centers are used. Since the PANDAS platform can be used for a wide variety of applications should, a number of software components will be developed. In particular middleware and Programming tool flows, with which new NDP applications can be created by developers without in-depth Knowledge of the hardware design.

DFG Flashy-DB - Impact of Flash Solid State Disks on Performance and Architecture of Data-Intensive Software Systems.

EU DBTechNet is an initiative of European universities and IT-companies to set up a transnational collaboration scheme of higher level educational establishments, IT enterprises, and vocational training centres who will collaborate in order to achieve a three-fold goal, namely: