On August 24, Muhammad El-Hindi successfully defended his Ph.D. thesis titled 'Towards Efficient Trustworthy Data Systems'. Congratulations, Dr. rer. nat. El-Hindi!

On August 22, Tobi Ziegler successfully defended his Ph.D. thesis titled 'Towards Scalable OLTP Over Fast Networks'. Congratulations, Dr. rer. nat. Ziegler!

Zero-sided RDMA: Network-driven Data Shuffling

Authors: Matthias Jasny, Lasse Thostrup, Carsten Binnig

Congratulations to Sven Langenecker and Carsten Binnig!

Sven Langenecker will present the paper “Steered Training Data Generation for Learned Semantic Type Detection” at SIGMOD 2023 in Seattle.

DiffML: End-to-end Differentiable ML Pipelines

Authors: Benjamin Hilprecht, Christian Hammacher, Eduardo dos Reis, Mohamed Abdelaal, and Carsten Binnig

Towards Merkle Trees for High-Performance Data Systems

Muhammad El-Hindi, Tobias Ziegler and Carsten Binnig will show how it is possible to build high-performance Merkle trees with orders of magnitude performance improvements.

Congratulations to Tobias Ziegler and Carsten Binnig!

Tobias Ziegler will present the paper Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA" at SIGMOD 2023 in Seattle. Authors are Tobias Ziegler (TU Darmstadt), Jacob Nelson (Lehigh University), Viktor Leis (Technische Universität München), and Carsten Binnig (TU Darmstadt).

Faeze Faghih and Long Gu will present their work at the EuroSys Conference in Rome

Their posters are titled “The Next 700 Heterogeneous OLAP Systems: A Framework to Answer What-if Design Questions” and “From Private Set Intersection to Secure Database Joins using Cross-Layer Design”.

Matthias Urban and Manisha Luthra will present their work in Seattle.

Their papers have the titles “OmniscientDB: A Large Language Model-Augmented DBMS That Knows What Other DBMSs Do Not Know” and “Zero-Shot Cost Models for Parallel Stream Processing”.

Prof Binnig talked about Learned Database Systems at the German Python Convention 2023 in Berlin.