Steffen Zeuch
Steffen Zeuch
Email verificata su dfki.de - Home page
Titolo
Citata da
Citata da
Anno
Analyzing efficient stream processing on modern hardware
S Zeuch, BD Monte, J Karimov, C Lutz, M Renz, J Traub, S Bre, T Rabl, ...
Proceedings of the VLDB Endowment 12 (5), 516-530, 2019
372019
Generating custom code for efficient query execution on heterogeneous processors
S Bre, B Kcher, H Funke, S Zeuch, T Rabl, V Markl
The VLDB Journal 27 (6), 797-822, 2018
272018
Adapting tree structures for processing with SIMD instructions
S Zeuch, F Huber, J Freytag
222014
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
142019
Cache-sensitive skip list: Efficient range queries on modern cpus
S Sprenger, S Zeuch, U Leser
Data Management on New Hardware, 1-17, 2016
142016
Non-invasive progressive optimization for in-memory databases
S Zeuch, H Pirk, JC Freytag
Proceedings of the VLDB Endowment 9 (14), 1659-1670, 2016
112016
Selection on modern cpus
S Zeuch, JC Freytag
Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and…, 2015
82015
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
72020
Disco: Efficient Distributed Window Aggregation.
L Benson, PM Grulich, S Zeuch, V Markl, T Rabl
EDBT 20, 423-426, 2020
72020
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
62020
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects
C Lutz, S Bre, S Zeuch, T Rabl, V Markl
Proceedings of the 2020 ACM SIGMOD International Conference on Management of…, 2020
62020
Efficient k-means on GPUs
C Lutz, S Bre, T Rabl, S Zeuch, V Markl
Proceedings of the 14th International Workshop on Data Management on New…, 2018
62018
QTM: modelling query execution with tasks
S Zeuch, JC Freytag
Proceedings of the VLDB Endowment 7 (14), 2014
62014
Efficient and Scalable k‑Means on GPUs
C Lutz, S Bre, T Rabl, S Zeuch, V Markl
Datenbank-Spektrum 18 (3), 157-169, 2018
32018
Exploiting automatic vectorization to employ SPMD on SIMD registers
S Sprenger, S Zeuch, U Leser
2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW…, 2018
32018
A Survey of Adaptive Sampling and Filtering Algorithms for the Internet of Things
D Giouroukis, A Dadiani, J Traub, S Zeuch, V Markl
DEBS'20: 14th ACM International Conference on Distributed and Event-Based…, 2020
22020
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
22020
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
22020
Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs
V Rosenfeld, S Bre, S Zeuch, T Rabl, V Markl
Proceedings of the 15th International Workshop on Data Management on New…, 2019
22019
Governor: Operator Placement for a Unified Fog-Cloud Environment
A Chaudhary, S Zeuch, V Markl
Fog 6 (F5), F7, 2020
12020
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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