| So Far and yet so Near-Accelerating Distributed Joins with CXL A Baumstark, M Paradies, KU Sattler, S Kläbe, S Baumann Proceedings of the 20th International Workshop on Data Management on New …, 2024 | | 2024 |
| Accelerating Aggregation Using a Real Processing-in-Memory System MA Jibril, H Al-Sayeh, KU Sattler 2024 IEEE 40th International Conference on Data Engineering (ICDE), 3920-3932, 2024 | | 2024 |
| Everything Everyway All at Once-Time Traveling Debugging for Stream Processing Applications T Räth, M Schlegel, KU Sattler 2024 IEEE 40th International Conference on Data Engineering (ICDE), 1606-1618, 2024 | | 2024 |
| Collaboration Management for Federated Learning M Schlegel, D Scheliga, KU Sattler, M Seeland, P Mäder 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW …, 2024 | | 2024 |
| Automated Transformation of a Domain-Specific Language for System Modeling to Stochastic Colored Petri Nets F Bedini, T Räth, R Maschotta, KU Sattler, A Zimmermann 2024 IEEE International Systems Conference (SysCon), 1-8, 2024 | | 2024 |
| Accelerating large table scan using processing-in-memory technology A Baumstark, MA Jibril, KU Sattler Datenbank-Spektrum 23 (3), 199-209, 2023 | 11 | 2023 |
| Storage of data structures R Lasch, T Legler, R Schulze, K Sattler US Patent 11,789,951, 2023 | | 2023 |
| Adaptive update handling for graph HTAP MA Jibril, A Baumstark, KU Sattler Distributed and Parallel Databases 41 (3), 331-357, 2023 | 6 | 2023 |
| Adaptive query compilation in graph databases A Baumstark, MA Jibril, KU Sattler Distributed and Parallel Databases 41 (3), 359-386, 2023 | 6 | 2023 |
| Extracting Provenance of Machine Learning Experiment Pipeline Artifacts M Schlegel, KU Sattler European Conference on Advances in Databases and Information Systems, 238-251, 2023 | 5 | 2023 |
| Temporal Graph Processing in Modern Memory Hierarchies A Baumstark, MA Jibril, KU Sattler European Conference on Advances in Databases and Information Systems, 103-116, 2023 | | 2023 |
| Interactive performance exploration of stream processing applications using colored Petri nets T Räth, F Bedini, KU Sattler, A Zimmermann Proceedings of the 17th ACM International Conference on Distributed and …, 2023 | 3 | 2023 |
| Cooperative Memory Management for Table and Temporary Data R Lasch, T Legler, N May, B Scheirle, KU Sattler Proceedings of the 1st Workshop on Simplicity in Management of Data, 1-5, 2023 | 1 | 2023 |
| Interactive data cleaning for real-time streaming applications T Räth, N Onah, KU Sattler Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-3, 2023 | 2 | 2023 |
| MLflow2PROV: extracting provenance from machine learning experiments M Schlegel, KU Sattler Proceedings of the Seventh Workshop on Data Management for End-to-End …, 2023 | 6 | 2023 |
| Processing-in-memory for databases: Query processing and data transfer A Baumstark, MA Jibril, KU Sattler Proceedings of the 19th International Workshop on Data Management on New …, 2023 | 5 | 2023 |
| Traveling Back in Time: A Visual Debugger for Stream Processing Applications T Räth, KU Sattler 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3647-3650, 2023 | 1 | 2023 |
| Adaptive query compilation with processing-in-memory A Baumstark, MA Jibril, KU Sattler 2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW …, 2023 | 7 | 2023 |
| Robustness metrics for optimization of query execution plans F Wolf, M Brendle, N May, P Willems, K Sattler US Patent 11,580,106, 2023 | | 2023 |
| Management of machine learning lifecycle artifacts: A survey M Schlegel, KU Sattler ACM SIGMOD Record 51 (4), 18-35, 2023 | 40 | 2023 |
Gunter SaakeProfessor of Computer Science, Magdeburg UniversityVerified email at ovgu.de
