Tim Gubner

Full Name

T.K. Gubner

Email

T.K.Gubner@cwi.nl

Department(s)

Database Architectures

Function(s)

Project member - Geen werkgever

Tim Gubner

Gubner, T. (2024, October 4). Adaptively generating heterogeneous execution strategies using the VOILA framework. SIKS Dissertation Series. Retrieved from http://dx.doi.org/10.5463/thesis.727
Gubner, T., & Boncz, P. (2021). Charting the design space of query execution using VOILA. In Proceedings of the VLDB Endowment (pp. 1067–1097). doi:10.14778/3447689.3447709
Gubner, T., & Boncz, P. (2021). Highlighting the performance diversity of analytical queries using VOILA. In Proceedings of the International Workshop on Accelerating Analytics and Data management Systems Using Modern Processor and Storage Architectures (pp. 47–54).
Gubner, T., Leis, V., & Boncz, P. (2021). Optimistically compressed Hash Tables & Strings in the USSR. ACM SIGMOD Record, 50(1), 60–67.
Gubner, T., Leis, V., & Boncz, P. (2020). Efficient query processing with Optimistically Compressed Hash Tables & Strings in the USSR. In Proceedings of the IEEE International Conference on Data Engineering (ICDE) (pp. 301–312). doi:10.1109/ICDE48307.2020.00033
Gubner, T., Gomes Tomé, D., Lang, H., & Boncz, P. (2019). Fluid co-processing: GPU Bloom-filters for CPU joins. In Proceedings of the 15th International Workshop on Data Management on New Hardware (pp. 9:1–9:10). doi:10.1145/3329785.3329934
Gomes Tomé, D., Gubner, T., Raasveldt, M., Rozenberg, E., & Boncz, P. (2018). Optimizing group-by and aggregation using GPU-CPU co-processing. In Proceedings of the International Workshop on Accelerating Analytics and Data management Systems Using Modern Processor and Storage Architectures (pp. 1–10).
Raasveldt, M., Holanda, P., Gubner, T., & Mühleisen, H. (2018). Fair benchmarking considered difficult: Common pitfalls in database performance testing. In Workshop on Testing Database Systems (pp. 1–6). doi:10.1145/3209950.3209955
Gubner, T. (2018). Designing an adaptive VM that combines vectorized and JIT execution on heterogeneous hardware. In 2018 IEEE 34th International Conference on Data Engineering, ICDE 2018 (pp. 1684–1688). doi:10.1109/ICDE.2018.00215
Gubner, T., & Boncz, P. (2017). Exploring query execution strategies for JIT vectorization and SIMD. In Proceedings of the International Workshop on Accelerating Analytics and Data management Systems Using Modern Processor and Storage Architectures (pp. 9–17).

Best Paper Award at the International Conference on Data Engineering (ICDE) (2020)