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Mark Raasveldt

Full Name: M. Raasveldt
Function(s): PhD student

Email: M.Raasveldt@cwi.nl
Telephone: +31 20 592 4169
Room: L313
Department(s): Database Architectures

Publications

Tomé, D.G, Gubner, T.K, Raasveldt, M, Rozenberg, E, & Boncz, P.A. (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. (2018). Integrating analytics with relational databases. In Proceedings of the VLDB 2018 PhD Workshop co-located with the 44th International Conference on Very Large Databases (VLDB 2018).
Raasveldt, M, Holanda, P.T.T, Gubner, T.K, & Mühleisen, H.F. (2018). Fair benchmarking considered difficult: Common pitfalls in database performance testing. In Workshop on Testing Database Systems. doi:10.1145/3209950.3209955
Raasveldt, M. (2018). MonetDBLite: An embedded analytical database. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 1837–1838). doi:10.1145/3183713.3183722
Raasveldt, M, Holanda, P.T.T, Mühleisen, H.F, & Manegold, S. (2018). Deep integration of machine learning Into column stores. In Advances in Database Technology - EDBT 2018 (pp. 473–476). doi:10.5441/002/edbt.2018.50
Holanda, P.T.T, Raasveldt, M, & Kersten, M.L. (2017). Don’t Keep My UDFs Hostage - Exporting UDFs For Debugging Purposes. In Proceedings Brazilian Symposium on Databases.
Raasveldt, M, & Mühleisen, H.F. (2017). Don't hold my data hostage - A case for client protocol redesign. In Proceedings of the VLDB Endowment (pp. 1022–1033).
Raasveldt, M, & Mühleisen, H.F. (2016). Vectorized UDFs in column-stores. In Proceedings of the 28th International Conference on Scientific and Statistical Database Management. doi:https://doi.org/10.1145/2949689.2949703

Current projects with external funding

Process mining for multi-objective online control (PROMIMOOC)

Awards

MonetDBLite: An Embedded Analytical Database (2018)