-
Picture: Tobias TiebesPicture: Tobias Tiebes
From campus to the Arctic
2024/04/16
Results from a lab course organized by the Systems group are supporting polar research
The Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) operates aircraft to explore the Arctic and Antarctic. Students of computer science and cognitive science have developed software in the software development project as part of their bachelor's degree programme at TU Darmstadt that will make it easier to plan these flights in future.
-
Paper accepted to DASFAA 2024
2024/04/10
Parallel Processing of Temporal Anti-Joins in Memory
Authors: Ioannis Reppas, Meghdad Mirabi, Leila Fathi, Carsten Binnig, Anton Dignös, and Johann Gamper
-
Another paper accepted to ICDE 2024
2024/03/14
ZeroTune: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing
Authors: Pratyush Agnihotri, Boris Koldehofe, Paul Stiegele, Roman Heinrich, Carsten Binnig, Manisha Luthra
-
Paper accepted to ICDE 2024
2024/03/14
COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments
Authors: Roman Heinrich, Carsten Binnig, Harald Kornmayer, Manisha Luthra
-
Seminar series on the design of cooperative AI
2024/02/07
Seminar series continues
-
Picture: Katrin BinnerPicture: Katrin Binner
Prof. Carsten Binnig elected to VLDB Board of Trustees
2024/02/07
Renowned VLDB Endowment elects Prof. Carsten Binnig to the Board of Trustees
Prof. Carsten Binnig has been elected to the Board of Trustees of the US-based VLDB Endowment. He will serve in this honorary position for a six-year term beginning on Januar 1, 2024.
-
Paper accepted to EDBT 2024
2024/02/02
Pythagoras: Semantic Type Detection of Numerical Data in Enterprise Data Lakes
Authors: Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig
-
Paper accepted to CIDR 2024
2023/12/14
CAESURA: Language Models as Multi-Modal Query Planners
Authors: Matthias Urban, Carsten Binnig
-
Benjamin Hättasch is now a Doctor of Natural Sciences!
2023/12/12
On December 11, Benjamin Hättasch successfully defended his Ph.D. thesis titled Democratizing Information Access through Low Overhead Systems'. Congratulations, Dr. rer. nat. Hättasch!
-
Three more papers published by Systems Group on Temporal Joins and Privacy Preserving Computation
2023/11/29
Find our work at SSTD 2023, CloudDB 2023, TrustKDD 2023.
-
Lasse Thostrup is now a Doctor of Natural Sciences!
2023/11/16
On November 10, Lasse Thostrup successfully defended his Ph.D. thesis titled 'Towards Network-Accelerated Databases'. Congratulations, Dr. rer. nat. Thostrup!
-
New Work on Optimization Techniques on FPGAs will be presented at FPL2023 this week
2023/09/04
The paper on Optimization Techniques for Hestenes-Jacobi SVD on FPGAs was written by Lukas Stasytis and Zsolt István
-
Muhammad El-Hindi is now a Doctor of Natural Sciences!
2023/08/24
On August 24, Muhammad El-Hindi successfully defended his Ph.D. thesis titled 'Towards Efficient Trustworthy Data Systems'. Congratulations, Dr. rer. nat. El-Hindi!
-
Savian is Start-Up of August 2023 at Hub31
2023/08/23
The start-up which began as part of the Systems group under Carsten Binnig is now at home in Hub31.
-
Tobias Ziegler is now a Doctor of Natural Sciences!
2023/08/22
On August 22, Tobi Ziegler successfully defended his Ph.D. thesis titled 'Towards Scalable OLTP Over Fast Networks'. Congratulations, Dr. rer. nat. Ziegler!
-
“DiffML: End-to-end Differentiable ML Pipelines” was awarded as Best Paper Runner-Up at DEEM'23
2023/07/13
The paper was written by Benjamin Hilprecht, Christian Hammacher, Eduardo Reis and Mohamed Abdelaal under the supervision of Carsten Binnig
-
Paper accepted to the 19th International Workshop on Data Management on New Hardware (DaMoN) @ SIGMOD 2023
2023/05/24
Zero-sided RDMA: Network-driven Data Shuffling
Authors: Matthias Jasny, Lasse Thostrup, Carsten Binnig
-
Paper on Semantic Type Extraction for Data Lakes accepted to SIGMOD 2023
2023/05/15
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.
-
Paper accepted to Data Management for End-to-End Machine Learning Workshop (DEEM) @ SIGMOD 2023
2023/05/15
DiffML: End-to-end Differentiable ML Pipelines
Authors: Benjamin Hilprecht, Christian Hammacher, Eduardo dos Reis, Mohamed Abdelaal, and Carsten Binnig
-
Paper accepted to Workshop on Verifiable Database Systems @ SIGMOD 2023
2023/05/10
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.
-
Paper on Synchronization using One-Sided RDMA accepted to SIGMOD 2023
2023/05/08
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).
-
Two Posters accepted at EuroSys'23
2023/05/08
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”.
-
Two Papers accepted to aiDM @ SIGMOD 2023
2023/04/26
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”.
-
Benjamin Hilprecht receives Honourable Mention for the 2023 SIGMOD Jim Gray Dissertation Award
2023/04/25
Our alumnus Benjamin Hilprecht was awarded an Honourable Mention for the 2023 SIGMOD Jim Gray Doctoral Award for his Ph.D. thesis “Data-Efficient Learned Database Components”. The award recognizes excellent research by doctoral candidates in the database field.