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Sebastian Breß
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2020 – today
- 2023
- [j18]Viktor Rosenfeld, Sebastian Breß, Volker Markl:
Query Processing on Heterogeneous CPU/GPU Systems. ACM Comput. Surv. 55(2): 11:1-11:38 (2023) - 2022
- [j17]Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds? SIGMOD Rec. 51(1): 60-67 (2022) - [c37]Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects. SIGMOD Conference 2022: 1017-1032 - 2021
- [j16]Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems. ACM Trans. Database Syst. 46(1): 1:1-1:46 (2021) - [c36]Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance. ICDE 2021: 1428-1439 - 2020
- [j15]Martin Kiefer, Ilias Poulakis, Sebastian Breß, Volker Markl:
Scotch: Generating FPGA-Accelerators for Sketching at Line Rate. Proc. VLDB Endow. 14(3): 281-293 (2020) - [c35]Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform for Data and Application Management in the Internet of Things. CIDR 2020 - [c34]Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. SIGMOD Conference 2020: 1633-1649 - [c33]Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl:
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation. SIGMOD Conference 2020: 2487-2503
2010 – 2019
- 2019
- [j14]Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl:
Analyzing Efficient Stream Processing on Modern Hardware. Proc. VLDB Endow. 12(5): 516-530 (2019) - [j13]Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Breß, Tilmann Rabl, Volker Markl:
An Intermediate Representation for Optimizing Machine Learning Pipelines. Proc. VLDB Endow. 12(11): 1553-1567 (2019) - [c32]Sebastian Breß, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl:
An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age. BTW (Workshops) 2019: 87-90 - [c31]Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. DaMoN 2019: 8:1-8:11 - [c30]Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl:
Generating Reproducible Out-of-Order Data Streams. DEBS 2019: 256-257 - [c29]Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Efficient Window Aggregation with General Stream Slicing. EDBT 2019: 97-108 - [i4]Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform: Data and Application Management for the Internet of Things. CoRR abs/1910.07867 (2019) - [i3]Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl:
SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence. CoRR abs/1912.04648 (2019) - 2018
- [j12]Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl:
Efficient and Scalable k‑Means on GPUs. Datenbank-Spektrum 18(3): 157-169 (2018) - [j11]Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Generating custom code for efficient query execution on heterogeneous processors. VLDB J. 27(6): 797-822 (2018) - [c28]Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan José Fumero, Volker Markl:
ScootR: Scaling R Dataframes on Dataflow Systems. SoCC 2018: 288-300 - [c27]Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl:
Efficient k-means on GPUs. DaMoN 2018: 3:1-3:3 - [c26]Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl:
Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing. EDBT 2018: 477-480 - [c25]Tobias Behrens, Viktor Rosenfeld, Jonas Traub, Sebastian Breß, Volker Markl:
Efficient SIMD Vectorization for Hashing in OpenCL. EDBT 2018: 489-492 - [c24]Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing. ICDE 2018: 1300-1303 - [c23]Henning Funke, Sebastian Breß, Stefan Noll, Volker Markl, Jens Teubner:
Pipelined Query Processing in Coprocessor Environments. SIGMOD Conference 2018: 1603-1618 - [i2]Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl:
Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows. CoRR abs/1809.06845 (2018) - 2017
- [j10]Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple, Gunter Saake, Volker Markl:
Efficiently Storing and Analyzing Genome Data in Database Systems. Datenbank-Spektrum 17(2): 139-154 (2017) - [j9]Martin Kiefer, Max Heimel, Sebastian Breß, Volker Markl:
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models. Proc. VLDB Endow. 10(13): 2085-2096 (2017) - [c22]Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple, Gunter Saake, Volker Markl:
Efficient Storage and Analysis of Genome Data in Databases. BTW 2017: 423-442 - [c21]Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl:
Optimized on-demand data streaming from sensor nodes. SoCC 2017: 586-597 - [e1]Volker Markl, Salvatore Orlando, Bernhard Mitschang, Periklis Andritsos, Kai-Uwe Sattler, Sebastian Breß:
Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21-24, 2017. OpenProceedings.org 2017, ISBN 978-3-89318-073-8 [contents] - [i1]Sebastian Breß, Bastian Köcher, Henning Funke, Tilmann Rabl, Volker Markl:
Generating Custom Code for Efficient Query Execution on Heterogeneous Processors. CoRR abs/1709.00700 (2017) - 2016
- [c20]Sebastian Breß, Henning Funke, Jens Teubner:
Robust Query Processing in Co-Processor-accelerated Databases. SIGMOD Conference 2016: 1891-1906 - 2015
- [b1]Sebastian Breß:
Efficient query processing in co-processor-accelerated databases. Otto von Guericke University Magdeburg, 2015 - [j8]Andreas Meister, Sebastian Breß, Gunter Saake:
Toward GPU-accelerated Database Optimization. Datenbank-Spektrum 15(2): 131-140 (2015) - [c19]Kai-Uwe Sattler, Jens Teubner, Felix Beier, Sebastian Breß:
Many-Core-Architekturen zur Datenbankbeschleunigung. BTW Workshops 2015: 269-270 - [c18]Sebastian Dorok, Sebastian Breß, Jens Teubner, Gunter Saake:
Flexible Analysis of Plant Genomes in a Database Management System. EDBT 2015: 509-512 - 2014
- [j7]Sebastian Breß:
The Design and Implementation of CoGaDB: A Column-oriented GPU-accelerated DBMS. Datenbank-Spektrum 14(3): 199-209 (2014) - [j6]Sebastian Breß, Norbert Siegmund, Max Heimel, Michael Saecker, Tobias Lauer, Ladjel Bellatreche, Gunter Saake:
Load-aware inter-co-processor parallelism in database query processing. Data Knowl. Eng. 93: 60-79 (2014) - [j5]Rima Bouchakri, Ladjel Bellatreche, Zoé Faget, Sebastian Breß:
A coding template for handling static and incremental horizontal partitioning in data warehouses. J. Decis. Syst. 23(4): 481-498 (2014) - [j4]Sebastian Breß, Max Heimel, Michael Saecker, Bastian Köcher, Volker Markl, Gunter Saake:
Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware. Proc. VLDB Endow. 7(13): 1609-1612 (2014) - [j3]Sebastian Breß, Max Heimel, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake:
GPU-Accelerated Database Systems: Survey and Open Challenges. Trans. Large Scale Data Knowl. Centered Syst. 15: 1-35 (2014) - [c17]Sebastian Dorok, Sebastian Breß, Gunter Saake:
Toward Efficient Variant Calling Inside Main-Memory Database Systems. DEXA Workshops 2014: 41-45 - [c16]David Broneske, Sebastian Breß, Max Heimel, Gunter Saake:
Toward Hardware-Sensitive Database Operations. EDBT 2014: 229-234 - [c15]Max Heimel, Filip Haase, Martin Meinke, Sebastian Breß, Michael Saecker, Volker Markl:
Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine. EDBT 2014: 616-619 - [c14]Andreas Meister, Sebastian Breß, Gunter Saake:
Cost-Aware Query Optimization during Cloud-Based Complex Event Processing. GI-Jahrestagung 2014: 705-716 - [c13]Sebastian Dorok, Sebastian Breß, Horstfried Läpple, Gunter Saake:
Toward efficient and reliable genome analysis using main-memory database systems. SSDBM 2014: 34:1-34:4 - [c12]David Broneske, Sebastian Breß, Gunter Saake:
Database Scan Variants on Modern CPUs: A Performance Study. IMDM@VLDB 2014: 1-15 - [c11]David Broneske, Sebastian Breß, Gunter Saake:
Database Scan Variants on Modern CPUs: A Performance Study. IMDM@VLDB (Revised Selected Papers) 2014: 97-111 - 2013
- [j2]Sebastian Breß, Felix Beier, Hannes Rauhe, Kai-Uwe Sattler, Eike Schallehn, Gunter Saake:
Efficient co-processor utilization in database query processing. Inf. Syst. 38(8): 1084-1096 (2013) - [j1]Sebastian Breß:
Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS. Proc. VLDB Endow. 6(12): 1398-1403 (2013) - [c10]Sebastian Breß, Max Heimel, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake:
Exploring the Design Space of a GPU-Aware Database Architecture. ADBIS (2) 2013: 225-234 - [c9]Sebastian Breß, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake:
An Operator-Stream-Based Scheduling Engine for Effective GPU Coprocessing. ADBIS 2013: 288-301 - [c8]Sebastian Breß, Stefan Kiltz, Martin Schäler:
Forensics on GPU Coprocessing in Databases - Research Challenges, First Experiments, and Countermeasures. BTW Workshops 2013: 115-129 - [c7]Siba Mohammad, Eike Schallehn, Sebastian Breß:
Clustering the Cloud - A Model for (Self-)Tuning of Cloud Data Management Systems. CLOSER 2013: 520-524 - [c6]Ladjel Bellatreche, Salmi Cheikh, Sebastian Breß, Amira Kerkad, Ahcène Boukorca, Jalil Boukhobza:
How to exploit the device diversity and database interaction to propose a generic cost model? IDEAS 2013: 142-147 - [c5]Ladjel Bellatreche, Amira Kerkad, Sebastian Breß, Dominique Geniet:
RouPar: Routinely and Mixed Query-Driven Approach for Data Partitioning. OTM Conferences 2013: 309-326 - 2012
- [c4]Sebastian Breß, Eike Schallehn, Ingolf Geist:
Towards Optimization of Hybrid CPU/GPU Query Plans in Database Systems. ADBIS Workshops 2012: 27-35 - [c3]Sebastian Breß, Felix Beier, Hannes Rauhe, Eike Schallehn, Kai-Uwe Sattler, Gunter Saake:
Automatic Selection of Processing Units for Coprocessing in Databases. ADBIS 2012: 57-70 - [c2]Siba Mohammad, Sebastian Breß, Eike Schallehn:
Cloud Data Management: A Short Overview and Comparison of Current Approaches. Grundlagen von Datenbanken 2012: 41-46 - [c1]Sebastian Breß, Siba Mohammad, Eike Schallehn:
Self-Tuning Distribution of DB-Operations on Hybrid CPU/GPU Platforms. Grundlagen von Datenbanken 2012: 89-94
Coauthor Index
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