Database Management Systems

Project Title: Hardware-accelerated and reusable graph processing primitives​

​Researchers:​

Tobias Götz

​Motivation:​

This project revolves around the research regarding the effect of new hardware architectures on database design and architecture, e.g.

• Auto-Tuning SAP HANA for Hardware Topologies. More specifically, looking at job stealing strategies in NUMA topologies.
• Storage layers (DRAM vs. NVM vs. Disk) and how data structures need to adjust to these storage technologies and when to use them. A broader context to this (beyond NUMA) would be self-driving databases.
• Researching the effect of different FPGA topics, e.g. building a library of reusable FPGA kernels or further relational operators.

​Project Start: 2023

Project End: 2027 (expected)​

Chair​:

Prof. Dr. Jana Giceva, Chair of Database Systems