| 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 | 74 | 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 (6), 797-822, 2018 | 46 | 2018 |
| 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 | 40 | 2019 |
| Adapting tree structures for processing with SIMD instructions S Zeuch, F Huber, J Freytag | 30 | 2014 |
| 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 | 29 | 2020 |
| 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 | 26 | 2020 |
| Cache-sensitive skip list: Efficient range queries on modern cpus S Sprenger, S Zeuch, U Leser Data Management on New Hardware, 1-17, 2016 | 19 | 2016 |
| 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 | 18 | 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 | 16 | 2020 |
| Non-invasive progressive optimization for in-memory databases S Zeuch, H Pirk, JC Freytag Proceedings of the VLDB Endowment 9 (14), 1659-1670, 2016 | 15 | 2016 |
| Disco: Efficient Distributed Window Aggregation. L Benson, PM Grulich, S Zeuch, V Markl, T Rabl EDBT 20, 423-426, 2020 | 13 | 2020 |
| Dynamic parameter allocation in parameter servers A Renz-Wieland, R Gemulla, S Zeuch, V Markl arXiv preprint arXiv:2002.00655, 2020 | 11 | 2020 |
| Selection on modern cpus S Zeuch, JC Freytag Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and …, 2015 | 10 | 2015 |
| QTM: modelling query execution with tasks S Zeuch, JC Freytag Proceedings of the VLDB Endowment 7 (14), 2014 | 10 | 2014 |
| 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 | 8 | 2018 |
| 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 | 7 | 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 | 6 | 2019 |
| Scaling a Public Transport Monitoring System to Internet of Things Infrastructures. H Gavriilidis, A Michalke, L Mons, S Zeuch, V Markl EDBT, 627-630, 2020 | 5 | 2020 |
| Efficient and Scalable k‑Means on GPUs C Lutz, S Breß, T Rabl, S Zeuch, V Markl Datenbank-Spektrum 18 (3), 157-169, 2018 | 5 | 2018 |
| Governor: Operator Placement for a Unified Fog-Cloud Environment. A Chaudhary, S Zeuch, V Markl EDBT, 631-634, 2020 | 4 | 2020 |
Volker MarklTechnische Universität BerlinBestätigte E-Mail-Adresse bei tu-berlin.de
