Harald Lang
Harald Lang
Verified email at in.tum.de - Homepage
TitleCited byYear
Data blocks: Hybrid OLTP and OLAP on compressed storage using both vectorization and compilation
H Lang, T Mühlbauer, F Funke, PA Boncz, T Neumann, A Kemper
Proceedings of the 2016 International Conference on Management of Data, 311-326, 2016
712016
Massively parallel NUMA-aware hash joins
H Lang, V Leis, MC Albutiu, T Neumann, A Kemper
In Memory Data Management and Analysis, 3-14, 2013
442013
SQL-and Operator-centric Data Analytics in Relational Main-Memory Databases.
L Passing, M Then, N Hubig, H Lang, M Schreier, S Günnemann, ...
EDBT, 84-95, 2017
252017
Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines [Extended Version]
H Lang, L Passing, A Kipf, P Boncz, T Neumann, A Kemper
The VLDB Journal, 2019
52019
Performance-optimal filtering: Bloom overtakes cuckoo at high throughput
H Lang, T Neumann, A Kemper, P Boncz
Proceedings of the VLDB Endowment 12 (5), 502-515, 2019
52019
Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines
H Lang, A Kipf, L Passing, P Boncz, T Neumann, A Kemper
Proceedings of the 14th International Workshop on Data Management on New …, 2018
52018
Approximate geospatial joins with precision guarantees
A Kipf, H Lang, V Pandey, RA Persa, P Boncz, T Neumann, A Kemper
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1360-1363, 2018
32018
Adaptive geospatial joins for modern hardware
A Kipf, H Lang, V Pandey, RA Persa, P Boncz, T Neumann, A Kemper
arXiv preprint arXiv:1802.09488, 2018
32018
Fluid Co-processing: GPU Bloom-filters for CPU Joins
T Gubner, D Tomé, H Lang, P Boncz
Proceedings of the 15th International Workshop on Data Management on New …, 2019
2019
The Power of SQL Lambda Functions
ME Schüle, H Lang, A Kemper, S Günnemann, T Neumann
2019
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Articles 1–10