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DIMA Researchers@SIGMOD 2018


Prof. Dr. Tilmann Rabl, Dr. Sebastian Schelter, and Clemens Lutz from TU Berlin’s Database Systems and Information Management (DIMA) Group recently presented their research at SIGMOD 2018 (the 2018 International Conference on Management of Data), which was held in Houston, TX, USA, on June 10th - June 15th, 2018. DIMA contributions included presenting a full paper, a workshop paper and organizing two workshops.

Conference Highlights

This year's SIGMOD featured 90 research papers, 15 industrial papers, 2 invited industrial papers, 35 demonstration papers, and 12 co-located workshops. Keynote talks were held by Prof. Dr. Eric Brewer, VP of Infrastructure at Google, and Prof. Dr. Pedro Domingos, professor at the University of Washington. The first keynote introduces and explained the core concepts behind Kubernetes, a technology to manage container-based applications in the cloud. The second keynote outlined how current machine learning models are based on theoretical assumptions (i.i.d.) that may not hold in practise, and gave an outlook on ML models without these assumptions.


Research highlights that we took home from the conference include:

Kraska et al., "The Case for Learned Index Structures"

Idreos et al., "The Data Calculator: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models"

Kissinger et al., "Adaptive Energy-Control for In-Memory Database Systems"

In the first paper, Kraska et al. replace traditional index structures, such as B-Trees, with trained ML models. Idreos et al. show that many more data structures are yet to be discovered, and find a systematic way to discover and describe them in the second paper. In contrast, in the third paper, Kissinger et al. highlight the importance of energy-efficiency in databases queries, and dynamically control the processor to reduce energy consumption.

At the DaMoN workshop, Andy Rudoff, Principal Engineer at Intel, held the keynote on NVRAM. His presentation demonstrated new tools to integrate NVRAM into operating systems and databases.

Full Paper


Doctoral student Henning Funke at TU Dortmund, who worked in collaboration with Dr. Sebastian Breß of the DIMA Group, presented his full research paper “Pipelined Query Processing in Coprocessor Environments”. The paper analyses the data movement of query coprocessing in existing database systems and shows ways to improve the processing efficiency using Just-in-Time compilation. This research was joint work conducted with the DBIS Group of Prof. Dr. Jens Teubner at TU Dortmund.


Henning Funke Sebastian Breß Stefan Noll Volker Markl Jens Teubner (2018). Pipelined Query Processing in Coprocessor Environments. In International Conference on Management of Data (SIGMOD). ACM. 2018.

Link to publication

Link to the original publication

DaMoN Workshop Paper


PhD student Clemens Lutz presented his paper on "Efficient k-Means on GPUs" at the Data Management on New Hardware (DaMoN) workshop, held with ACM SIGMOD/PODS 2018. In his talk, he presented a new approach to executing k-Means in a single data pass per iteration on GPUs. The work identifies two shortcomings of existing strategies, involving unnecessary data transfers from the GPU and inefficient use of memory bandwidth. He proposed to solve these problems by redesigning the k-means algorithm to taking advantage of architectural properties specific to GPUs.

CL-kmeans is available on GitHub.


Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl (2018). Efficient k-means on GPUs. Proceedings of the 14th International Workshop on Data Management on New Hardware (DAMON '18), 3:1 - 3:3.

Link to publication

Link to original publication

The 2nd International DEEM Workshop


Dr. Sebastian Schelter, applied scientist at Amazon and guest lecturer at the DIMA Group, organized the second international workshop on "Data Management for End-To-End Machine Learning" (DEEM). The Chair of the DIMA Group, Prof. Dr. Volker Markl served on the Steering Committee and Prof. Dr. Tilmann Rabl was a member of the Program Committee. The workshop was well attended with around eighty participants and featured four invited talks and ten paper presentations. Among the highlights were contributions on "If Supervised Learning is the Answer, What is the Question?" by Google and "Data Science ≠ Machine Learning: Some Thoughts on the Role of Data Management in the new AI-Tsunami" by Prof. Dr. Jens Dittrich (Saarland University). Submissions featured authors from a wide range of institutions, including Stanford, MIT, University of Washington, and Microsoft Research. Details about the workshop may be found at


The 7th International DBTEST Workshop

Prof. Dr. Tilmann Rabl organized the seventh international workshop on "Testing Database Systems" (DBTEST), and additionally served on the Steering Committee. The workshop was well attended with around fifty participants and featured two invited talks and eight paper presentations. The highlights included talks on "Machine Learning Testing and Productivity" by Google and on "Capturing Bugs in Extreme Stress Testing Improving Software Quality in SAP HANA with Undo" by Undo and SAP SE. More information can be found on the workshop's website at


Zusatzinformationen / Extras