| 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 | 202 | 2016 |
| Massively parallel NUMA-aware hash joins H Lang, V Leis, MC Albutiu, T Neumann, A Kemper In Memory Data Management and Analysis: First and Second International …, 2015 | 75 | 2015 |
| SQL-and Operator-centric Data Analytics in Relational Main-Memory Databases. L Passing, M Then, NC Hubig, H Lang, M Schreier, S Günnemann, ... EDBT, 84-95, 2017 | 65 | 2017 |
| 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 | 56 | 2019 |
| In-database machine learning with SQL on GPUs M Schule, H Lang, M Springer, A Kemper, T Neumann, S Gunnemann Proceedings of the 33rd International Conference on Scientific and …, 2021 | 42 | 2021 |
| 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 | 36 | 2018 |
| Adaptive Main-Memory Indexing for High-Performance Point-Polygon Joins. A Kipf, H Lang, V Pandey, RA Persa, C Anneser, ET Zacharatou, ... EDBT, 347-358, 2020 | 28 | 2020 |
| 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 | 17 | 2018 |
| Tree-encoded bitmaps H Lang, A Beischl, V Leis, P Boncz, T Neumann, A Kemper Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 16 | 2020 |
| 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 | 13 | 2019 |
| The Power of SQL Lambda Functions ME Schüle, H Lang, A Kemper, S Günnemann, T Neumann | 13 | 2019 |
| Recursive SQL and GPU-support for in-database machine learning ME Schüle, H Lang, M Springer, A Kemper, T Neumann, S Günnemann Distributed and Parallel Databases 40 (2), 205-259, 2022 | 9 | 2022 |
| 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 | 8 | 2018 |
| The case for hybrid succinct data structures CAAKH Lang, T Neumann, A Kemper | 6 | 2020 |
| 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 | | 2019 |
| Counter Control Flow Divergence in Compiled Query Pipelines H Lang, A Kipf, L Passing, P Boncz, T Neumann, A Kemper | | |
Thomas NeumannProfessor, Technische Universität MünchenE-mail megerősítve itt: in.tum.de
