| Daphne: An open and extensible system infrastructure for integrated data analysis pipelines P Damme, M Birkenbach, C Bitsakos, M Boehm, P Bonnet, F Ciorba, ... Conference on Innovative Data Systems Research, 2022 | 34 | 2022 |
| Morphstore: Analytical query engine with a holistic compression-enabled processing model P Damme, A Ungethüm, J Pietrzyk, A Krause, D Habich, W Lehner arXiv preprint arXiv:2004.09350, 2020 | 32 | 2020 |
| Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores. A Ungethüm, J Pietrzyk, P Damme, A Krause, D Habich, W Lehner, ... CIDR, 2020 | 28 | 2020 |
| Morphstore-in-memory query processing based on morphing compressed intermediates LIVE D Habich, P Damme, A Ungethüm, J Pietrzyk, A Krause, J Hildebrandt, ... Proceedings of the 2019 International Conference on Management of Data, 1917 …, 2019 | 19 | 2019 |
| To share or not to share vector registers? J Pietrzyk, D Habich, W Lehner Proceedings of the 16th International Workshop on Data Management on New …, 2020 | 10 | 2020 |
| To use or not to use the SIMD gather instruction? D Habich, J Pietrzyk, A Krause, J Hildebrandt, W Lehner Proceedings of the 18th International Workshop on Data Management on New …, 2022 | 8 | 2022 |
| Partitioning strategy selection for in-memory graph pattern matching on multiprocessor systems A Krause, T Kissinger, D Habich, H Voigt, W Lehner Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017 | 8 | 2017 |
| Working with Disaggregated Systems. What are the Challenges and Opportunities of RDMA and CXL? A Geyer, D Ritter, DH Lee, M Ahn, J Pietrzyk, A Krause, D Habich, ... Gesellschaft für Informatik eV, 2023 | 6 | 2023 |
| Pipeline Group Optimization on Disaggregated Systems. A Geyer, A Krause, D Habich, W Lehner CIDR, 2023 | 6 | 2023 |
| Balancing performance and energy for lightweight data compression algorithms A Ungethüm, P Damme, J Pietrzyk, A Krause, D Habich, W Lehner New Trends in Databases and Information Systems: ADBIS 2017 Short Papers and …, 2017 | 5 | 2017 |
| SIMD-MIMD cocktail in a hybrid memory glass: shaken, not stirred M Zarubin, P Damme, A Krause, D Habich, W Lehner Proceedings of the 14th ACM International Conference on Systems and Storage …, 2021 | 4 | 2021 |
| Nemesys-A showcase of data oriented near memory graph processing A Krause, T Kissinger, D Habich, W Lehner Proceedings of the 2019 International Conference on Management of Data, 1945 …, 2019 | 4 | 2019 |
| Asynchronous graph pattern matching on multiprocessor systems A Krause, A Ungethüm, T Kissinger, D Habich, W Lehner New Trends in Databases and Information Systems: ADBIS 2017 Short Papers and …, 2017 | 4 | 2017 |
| Near to Far: An Evaluation of Disaggregated Memory for In-Memory Data Processing A Geyer, J Pietrzyk, A Krause, D Habich, W Lehner, C Färber, T Willhalm Proceedings of the 1st Workshop on Disruptive Memory Systems, 16-22, 2023 | 3 | 2023 |
| Simplicity done right for SIMDified query processing on CPU and FPGA D Habich, A Krause, J Pietrzyk, C Faerber, W Lehner Proceedings of the 1st Workshop on Simplicity in Management of Data, 1-5, 2023 | 3 | 2023 |
| Partition-based SIMD Processing and its Application to Columnar Database Systems J Hildebrandt, J Pietrzyk, A Krause, D Habich, W Lehner Datenbank-Spektrum 23 (1), 53-63, 2023 | 3 | 2023 |
| A GraphBLAS implementation in pure Java F Dörre, A Krause, D Habich, M Junghanns Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data …, 2021 | 2 | 2021 |
| Program your (custom) SIMD instruction set on FPGA in C++. J Pietrzyk, A Krause, C Faerber, D Habich, W Lehner CIDR, 2024 | 1 | 2024 |
| Trading Memory versus Workload Overhead in Graph Pattern Matching on Multiprocessor Systems. A Krause, F Ebner, D Habich, W Lehner DATA, 400-407, 2019 | 1 | 2019 |
| NeMeSys–Energy Adaptive Graph Pattern Matching on NUMA-based Multiprocessor Systems A Krause, A Ungethüm, T Kissinger, D Habich, W Lehner BTW 2019, 537-541, 2019 | 1 | 2019 |
