| Analyzing efficient stream processing on modern hardware S Zeuch, BD Monte, J Karimov, C Lutz, M Renz, J Traub, S Breß, T Rabl, ... Proceedings of the VLDB Endowment 12 (5), 516-530, 2019 | 129 | 2019 |
| Pump up the volume: Processing large data on gpus with fast interconnects C Lutz, S Breß, S Zeuch, T Rabl, V Markl Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 121 | 2020 |
| The NebulaStream platform: data and application management for the internet of things S Zeuch, A Chaudhary, B Del Monte, H Gavriilidis, D Giouroukis, ... arXiv preprint arXiv:1910.07867, 2019 | 103 | 2019 |
| Generating custom code for efficient query execution on heterogeneous processors S Breß, B Köcher, H Funke, S Zeuch, T Rabl, V Markl The VLDB Journal 27, 797-822, 2018 | 83 | 2018 |
| Rhino: Efficient management of very large distributed state for stream processing engines B Del Monte, S Zeuch, T Rabl, V Markl Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 77 | 2020 |
| Grizzly: Efficient stream processing through adaptive query compilation PM Grulich, B Sebastian, S Zeuch, J Traub, J Bleichert, Z Chen, T Rabl, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 62 | 2020 |
| Nebulastream: Complex analytics beyond the cloud S Zeuch, ET Zacharatou, S Zhang, X Chatziliadis, A Chaudhary, ... Open Journal of Internet Of Things (OJIOT) 6 (1), 66-81, 2020 | 46 | 2020 |
| A survey of adaptive sampling and filtering algorithms for the internet of things D Giouroukis, A Dadiani, J Traub, S Zeuch, V Markl Proceedings of the 14th ACM international conference on distributed and …, 2020 | 43 | 2020 |
| Adapting Tree Structures for Processing with SIMD Instructions. S Zeuch, JC Freytag, F Huber EDBT 14, 97-108, 2014 | 35 | 2014 |
| Babelfish: Efficient execution of polyglot queries PM Grulich, S Zeuch, V Markl Proceedings of the VLDB Endowment 15 (2), 196-210, 2021 | 33 | 2021 |
| Triton join: Efficiently scaling to a large join state on gpus with fast interconnects C Lutz, S Breß, S Zeuch, T Rabl, V Markl Proceedings of the 2022 International Conference on Management of Data, 1017 …, 2022 | 32 | 2022 |
| Cache-sensitive skip list: Efficient range queries on modern cpus S Sprenger, S Zeuch, U Leser Data Management on New Hardware: 7th International Workshop on Accelerating …, 2017 | 30 | 2017 |
| Disco: Efficient Distributed Window Aggregation. L Benson, PM Grulich, S Zeuch, V Markl, T Rabl EDBT 20, 423-426, 2020 | 29 | 2020 |
| Parallelizing intra-window join on multicores: An experimental study S Zhang, Y Mao, J He, PM Grulich, S Zeuch, B He, RTB Ma, V Markl Proceedings of the 2021 International Conference on Management of Data, 2089 …, 2021 | 26 | 2021 |
| Exdra: Exploratory data science on federated raw data S Baunsgaard, M Boehm, A Chaudhary, B Derakhshan, S Geißelsöder, ... Proceedings of the 2021 International Conference on Management of Data, 2450 …, 2021 | 23 | 2021 |
| Non-invasive progressive optimization for in-memory databases S Zeuch, H Pirk, JC Freytag Proceedings of the VLDB Endowment 9 (14), 1659-1670, 2016 | 21 | 2016 |
| Efficient k-means on GPUs C Lutz, S Breß, T Rabl, S Zeuch, V Markl Proceedings of the 14th International Workshop on Data Management on New …, 2018 | 20 | 2018 |
| An energy-efficient stream join for the Internet of Things A Michalke, PM Grulich, C Lutz, S Zeuch, V Markl Proceedings of the 17th International Workshop on Data Management on New …, 2021 | 19 | 2021 |
| Dynamic parameter allocation in parameter servers A Renz-Wieland, R Gemulla, S Zeuch, V Markl arXiv preprint arXiv:2002.00655, 2020 | 19 | 2020 |
| Performance analysis and automatic tuning of hash aggregation on GPUs V Rosenfeld, S Breß, S Zeuch, T Rabl, V Markl Proceedings of the 15th International Workshop on Data Management on New …, 2019 | 19 | 2019 |
Volker MarklTechnische Universität BerlinBestätigte E-Mail-Adresse bei tu-berlin.de
