Sebastian Breß
Title
Cited by
Cited by
Year
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
642014
Efficient Co-Processor Utilization in Database Query Processing
S Breß, F Beier, H Rauhe, KU Sattler, E Schallehn, G Saake
Information Systems, 2013
632013
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
622013
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
512016
The design and implementation of CoGaDB: A column-oriented GPU-accelerated DBMS
S Breß
Datenbank-Spektrum 14 (3), 199-209, 2014
482014
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
37*2012
Toward Hardware-Sensitive Database Operations.
D Broneske, S Breß, M Heimel, G Saake
EDBT, 229-234, 2014
302014
Automatic Selection of Processing Units for Coprocessing in Databases
S Breß, F Beier, H Rauhe, E Schallehn, KU Sattler, G Saake
Advances in Databases and Information Systems, 57-70, 2012
292012
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
272018
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
252019
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
242018
Database scan variants on modern CPUs: A performance study
D Broneske, S Breß, G Saake
In Memory Data Management and Analysis, 97-111, 2013
242013
Towards Optimization of Hybrid CPU/GPU Query Plans in Database Systems
S Breß, E Schallehn, I Geist
New Trends in Databases and Information Systems, 27-35, 2012
242012
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
232014
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
212017
Load-aware inter-co-processor parallelism in database query processing
S Breß, N Siegmund, M Heimel, M Saecker, T Lauer, L Bellatreche, ...
Data & Knowledge Engineering 93, 60-79, 2014
212014
Cloud Data Management: A Short Overview and Comparison of Current Approaches
S Mohammad, S Breß, E Schallehn
212012
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
172018
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
172017
Self-Tuning Distribution of DB-Operations on Hybrid CPU/GPU Platforms
S Breß, S Mohammad, E Schallehn
Grundlagen von Datenbanken, 89-94, 2012
152012
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Articles 1–20