Sebastian Breß

According to our database1, Sebastian Breß authored at least 58 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Query Processing on Heterogeneous CPU/GPU Systems.
ACM Comput. Surv., 2023

2022
Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?
SIGMOD Rec., 2022

Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021
Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems.
ACM Trans. Database Syst., 2021

Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Scotch: Generating FPGA-Accelerators for Sketching at Line Rate.
Proc. VLDB Endow., 2020

Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects.
Proceedings of the 2020 International Conference on Management of Data, 2020

Grizzly: Efficient Stream Processing Through Adaptive Query Compilation.
Proceedings of the 2020 International Conference on Management of Data, 2020

The NebulaStream Platform for Data and Application Management in the Internet of Things.
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019
Analyzing Efficient Stream Processing on Modern Hardware.
Proc. VLDB Endow., 2019

An Intermediate Representation for Optimizing Machine Learning Pipelines.
Proc. VLDB Endow., 2019

SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence.
CoRR, 2019

Efficient Window Aggregation with General Stream Slicing.
Proceedings of the Advances in Database Technology, 2019

Generating Reproducible Out-of-Order Data Streams.
Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019

Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs.
Proceedings of the 15th International Workshop on Data Management on New Hardware, 2019

An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age.
Proceedings of the Datenbanksysteme für Business, 2019

2018
Generating custom code for efficient query execution on heterogeneous processors.
VLDB J., 2018

Efficient and Scalable k‑Means on GPUs.
Datenbank-Spektrum, 2018

Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows.
CoRR, 2018

Pipelined Query Processing in Coprocessor Environments.
Proceedings of the 2018 International Conference on Management of Data, 2018

Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

Efficient SIMD Vectorization for Hashing in OpenCL.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

Efficient k-means on GPUs.
Proceedings of the 14th International Workshop on Data Management on New Hardware, 2018

ScootR: Scaling R Dataframes on Dataflow Systems.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models.
Proc. VLDB Endow., 2017

Efficiently Storing and Analyzing Genome Data in Database Systems.
Datenbank-Spektrum, 2017

Generating Custom Code for Efficient Query Execution on Heterogeneous Processors.
CoRR, 2017

Optimized on-demand data streaming from sensor nodes.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Efficient Storage and Analysis of Genome Data in Databases.
Proceedings of the Datenbanksysteme für Business, 2017

2016
Robust Query Processing in Co-Processor-accelerated Databases.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Efficient query processing in co-processor-accelerated databases.
PhD thesis, 2015

Toward GPU-accelerated Database Optimization.
Datenbank-Spektrum, 2015

Flexible Analysis of Plant Genomes in a Database Management System.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Many-Core-Architekturen zur Datenbankbeschleunigung.
Proceedings of the Datenbanksysteme für Business, Technologie und Web (BTW 2015), 2015

2014
GPU-Accelerated Database Systems: Survey and Open Challenges.
Trans. Large Scale Data Knowl. Centered Syst., 2014

Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware.
Proc. VLDB Endow., 2014

A coding template for handling static and incremental horizontal partitioning in data warehouses.
J. Decis. Syst., 2014

Load-aware inter-co-processor parallelism in database query processing.
Data Knowl. Eng., 2014

The Design and Implementation of CoGaDB: A Column-oriented GPU-accelerated DBMS.
Datenbank-Spektrum, 2014

Database Scan Variants on Modern CPUs: A Performance Study.
Proceedings of the 2nd International Workshop on In Memory Data Management and Analytics, 2014

Toward efficient and reliable genome analysis using main-memory database systems.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Cost-Aware Query Optimization during Cloud-Based Complex Event Processing.
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014

Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Toward Hardware-Sensitive Database Operations.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Toward Efficient Variant Calling Inside Main-Memory Database Systems.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

2013
Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS.
Proc. VLDB Endow., 2013

Efficient co-processor utilization in database query processing.
Inf. Syst., 2013

RouPar: Routinely and Mixed Query-Driven Approach for Data Partitioning.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013

How to exploit the device diversity and database interaction to propose a generic cost model?
Proceedings of the 17th International Database Engineering & Applications Symposium, 2013

Clustering the Cloud - A Model for (Self-)Tuning of Cloud Data Management Systems.
Proceedings of the CLOSER 2013, 2013

Forensics on GPU Coprocessing in Databases - Research Challenges, First Experiments, and Countermeasures.
Proceedings of the Datenbanksysteme für Business, Technologie und Web (BTW),, 2013

An Operator-Stream-Based Scheduling Engine for Effective GPU Coprocessing.
Proceedings of the Advances in Databases and Information Systems, 2013

Exploring the Design Space of a GPU-Aware Database Architecture.
Proceedings of the New Trends in Databases and Information Systems, 2013

2012
Cloud Data Management: A Short Overview and Comparison of Current Approaches.
Proceedings of the 24th GI-Workshop "Grundlagen von Datenbanken 2012", Lübbenau, 2012

Self-Tuning Distribution of DB-Operations on Hybrid CPU/GPU Platforms.
Proceedings of the 24th GI-Workshop "Grundlagen von Datenbanken 2012", Lübbenau, 2012

Towards Optimization of Hybrid CPU/GPU Query Plans in Database Systems.
Proceedings of the New Trends in Databases and Information Systems, 2012

Automatic Selection of Processing Units for Coprocessing in Databases.
Proceedings of the Advances in Databases and Information Systems, 2012


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