Folgen
Sebastian Breß
Titel
Zitiert von
Zitiert von
Jahr
GPU-accelerated Database Systems: Survey and Open Challenges
S Breß, M Heimel, N Siegmund, L Bellatreche, G Saake
Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS), 2014
1392014
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
1272019
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
1192020
Pipelined query processing in coprocessor environments
H Funke, S Breß, S Noll, V Markl, J Teubner
Proceedings of the 2018 International Conference on Management of Data, 1603 …, 2018
1102018
Robust query processing in co-processor-accelerated databases
S Breß, H Funke, J Teubner
Proceedings of the 2016 International Conference on Management of Data, 1891 …, 2016
1062016
Why it is time for a HyPE: A hybrid query processing engine for efficient GPU coprocessing in DBMS
S Breß, G Saake
Proceedings of the VLDB Endowment 6 (12), 1398-1403, 2013
1042013
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
1002019
Estimating join selectivities using bandwidth-optimized kernel density models
M Kiefer, M Heimel, S Breß, V Markl
Proceedings of the VLDB Endowment 10 (13), 2085-2096, 2017
922017
The design and implementation of CoGaDB: A column-oriented GPU-accelerated DBMS
S Breß
Datenbank-Spektrum 14, 199-209, 2014
912014
Efficient Co-Processor Utilization in Database Query Processing
S Breß, F Beier, H Rauhe, KU Sattler, E Schallehn, G Saake
Information Systems, 2013
862013
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
832018
Efficient Window Aggregation with General Stream Slicing.
J Traub, PM Grulich, AR Cuéllar, S Breß, A Katsifodimos, T Rabl, V Markl
EDBT 19, 97-108, 2019
792019
An intermediate representation for optimizing machine learning pipelines
A Kunft, A Katsifodimos, S Schelter, S Breß, T Rabl, V Markl
Proceedings of the VLDB Endowment 12 (11), 1553-1567, 2019
692019
Scotty: Efficient window aggregation for out-of-order stream processing
J Traub, PM Grulich, AR Cuellar, S Breß, A Katsifodimos, T Rabl, V Markl
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1300-1303, 2018
622018
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
612020
A Framework for Cost based Optimization of Hybrid CPU/GPU Query Plans in Database Systems
S Breß, I Geist, E Schallehn, M Mory, G Saake
Control and Cybernetics 41 (4), 715–742, 2012
53*2012
Query processing on heterogeneous CPU/GPU systems
V Rosenfeld, S Breß, V Markl
ACM Computing Surveys (CSUR) 55 (1), 1-38, 2022
512022
Ocelot/hype: Optimized data processing on heterogeneous hardware
S Breß, B Köcher, M Heimel, V Markl, M Saecker, G Saake
Proceedings of the VLDB Endowment 7 (13), 1609-1612, 2014
492014
Toward Hardware-Sensitive Database Operations.
D Broneske, S Breß, M Heimel, G Saake
EDBT, 229-234, 2014
472014
Optimized on-demand data streaming from sensor nodes
J Traub, S Breß, T Rabl, A Katsifodimos, V Markl
Proceedings of the 2017 Symposium on Cloud Computing, 586-597, 2017
442017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20