Dr. David Broneske
Dr. David Broneske
Acting Chair at German Center for Higher Education Research and Science Studies
Verified email at - Homepage
Cited by
Cited by
Toward Hardware-Sensitive Database Operations
D Broneske, S Breß, M Heimel, G Saake
EDBT, 229-234, 2014
GridFormation: towards self-driven online data partitioning using reinforcement learning
GC Durand, M Pinnecke, R Piriyev, M Mohsen, D Broneske, G Saake, ...
Proceedings of the First International Workshop on Exploiting Artificial …, 2018
Database scan variants on modern CPUs: A performance study
D Broneske, S Breß, G Saake
In Memory Data Management and Analysis: First and Second International …, 2015
Accelerating multi-column selection predicates in main-memory-the Elf approach
D Broneske, V Köppen, G Saake, M Schäler
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 647-658, 2017
Toward GPU Accelerated Data Stream Processing.
M Pinnecke, D Broneske, G Saake
GvD, 78-83, 2015
Integration of FPGAs in database management systems: challenges and opportunities
A Becher, L BG, D Broneske, T Drewes, B Gurumurthy, K Meyer-Wegener, ...
Datenbank-Spektrum 18, 145-156, 2018
Hardware-sensitive scan operator variants for compiled selection pipelines
D Broneske, A Meister, G Saake
Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017
Memory management strategies in CPU/GPU database systems: A survey
I Arefyeva, D Broneske, G Campero, M Pinnecke, G Saake
Beyond Databases, Architectures and Structures. Facing the Challenges of …, 2018
SQLValidator–An Online Student Playground to Learn SQL
V Obionwu, D Broneske, A Hawlitschek, V Köppen, G Saake
Datenbank-Spektrum 21, 73-81, 2021
An eight-dimensional systematic evaluation of optimized search algorithms on modern processors
LC Schulz, D Broneske, G Saake
Proceedings of the VLDB Endowment 11 (11), 1550-1562, 2018
Are databases fit for hybrid workloads on GPUs? A storage engine's perspective
M Pinnecke, D Broneske, GC Durand, G Saake
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1599-1606, 2017
Automated Vertical Partitioning with Deep Reinforcement Learning.
GC Durand, R Piriyev, M Pinnecke, D Broneske, B Gurumurthy, G Saake
ADBIS (Short Papers and Workshops), 126-134, 2019
Heterogeneous committee-based active learning for entity resolution (HeALER)
X Chen, Y Xu, D Broneske, GC Durand, R Zoun, G Saake
Advances in Databases and Information Systems: 23rd European Conference …, 2019
Interactive chord visualization for metaproteomics
R Zoun, K Schallert, D Broneske, R Heyer, D Benndorf, G Saake
2017 28th International Workshop on Database and Expert Systems Applications …, 2017
Modern applications and challenges for rare itemset mining
S Darrab, D Broneske, G Saake
Int J Mach Learn Comput 11 (3), 208-218, 2021
Challenges in Finding an Appropriate Multi-Dimensional Index Structure with Respect to Specific Use Cases.
A Grebhahn, D Broneske, M Schäler, R Schröter, V Köppen, G Saake
Grundlagen von Datenbanken, 77-82, 2012
Column vs. Row Stores for Data Manipulation in Hardware Oblivious CPU/GPU Database Systems.
I Arefyeva, D Broneske, M Pinnecke, M Bhatnagar, G Saake
Grundlagen von Datenbanken, 24-29, 2017
SIMD vectorized hashing for grouped aggregation
B Gurumurthy, D Broneske, M Pinnecke, G Campero, G Saake
Advances in Databases and Information Systems: 22nd European Conference …, 2018
Backlogs and Interval Timestamps: Building Blocks for Supporting Temporal Queries in Graph Databases.
GC Durand, M Pinnecke, D Broneske, G Saake
EDBT/ICDT Workshops, 2017
Fpga-accelerated compression of integer vectors
M Mohsen, N May, C Färber, D Broneske
Proceedings of the 16th International Workshop on Data Management on New …, 2020
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