| 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 | 38 | 2019 |
| 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 | 17 | 2019 |
| Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines B Del Monte, S Zeuch, T Rabl, V Markl SIGMOD '20: Proceedings of the 2020 ACM SIGMOD International Conference on …, 2020 | 7 | 2020 |
| Efficient Migration of Very Large Distributed State for Scalable Stream Processing B Del Monte Proceedings of the VLDB 2017 PhD Workshop co-located with the 43rd …, 2017 | 4 | 2017 |
| 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 | 3 | 2020 |
| A scalable GPU-enabled framework for training deep neural networks B Del Monte, R Prodan 2016 2nd International Conference on Green High Performance Computing …, 2016 | 3 | 2016 |
| On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines A Bartnik, B Del Monte, T Rabl, V Markl Datenbanksysteme für Business, Technologie und Web (BTW 2019), 2018 | 2 | 2018 |
| PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization B Del Monte, J Karimov, A Rezaei Mahdiraji, T Rabl, V Markl | 1 | 2017 |
