DATE 2021 became a virtual conference due to the worldwide COVID-19 pandemic (click here for more details)

Taking into consideration the continued erratic development of the worldwide COVID-19 pandemic and the accompanying restrictions of worldwide travelling as well as the safety and health of the DATE community, the Organizing Committees decided to host DATE 2021 as a virtual conference in early February 2021. Unfortunately, the current situation does not allow a face-to-face conference in Grenoble, France.

The Organizing Committees are working intensively to create a virtual conference that gives as much of a real conference atmosphere as possible.

DFG SPP 2037 - Scalable Data Management for Future Hardware

DFG SPP 2037 - Scalable Data Management for Future Hardware
Contact Person
Kai-Uwe Sattler

TU Ilmenau/ Department of Computer Science and Automation
PO Box 100 565
98684 Ilmenau

The priority programme 2037 „Scalable Data Management for Future Hardware“ is funded by the german research funding organisation DFG and  comprises 10 projects from german universities. The programme is based on the observation that the currently used database concepts and systems are not well prepared to support emerging application domains such as eSciences, Industry 4.0, Internet of Things or Digital Humanities: From a user’s perspective flexible domain-specific access interfaces are requires; novel data models for these application domains have to be integrated; consistency guarantees which reduce flexibility and performance should be adaptable according to the requirements; and the volume and velocity of data caused by ubiquitous sensors have to be mastered by massive scalability and online processing. At the same time current and future hardware trends such as many-core CPUs, co-processors like GPU and FPGA, novel storage technologies like NVRAM and SSD as well as high-speed networks provide new opportunities.

In order to open up the exemplarily mentioned application domains together with exploiting the potential of future hardware generations it becomes necessary now, to fundamentally rethink current database architectures. Thus, the objective of the priority programme is to answer the scientific questions related to these issues. As a result, we expect the development and evaluation of architectures and abstractions for flexible and scalable data management techniques which provide extensibility regarding new data models including processing and access mechanisms for emerging applications, and exploit the features of modern and heterogeneous hardware as well as system-level services.