Diego Gomes Tomé
- Full Name
- D. Gomes Tomé
- Function(s)
- PhD student
- Diego.Tome@cwi.nl
- Telephone
- +31 20 592 4169
- Room
- L313
- Department(s)
- Database Architectures
- Homepage
- https://diegomestre2.github.io/
Biography
I am a Ph.D. Student in the Centrum Wiskunde & Informatica - Amsterdam NL. My research interest is in database architectures, specifically related to the usage of emerging hardware to accelerate columnar databases, improve OLAP queries, and data compression.Research
- In-memory Database Management Systems
- Emerging Hardware
- Query Processing on Heterogeneous Architectures
- Co-processing Architectures
- Analytical Queries
Publications
-
Gubner, T.K, Tomé, D, Lang, H, & Boncz, P.A. (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
-
Tomé, D, Kepe, T.R, Alves, M.A.Z, & de Almeida, E.C. (2018). Near-data filters: Taking another brick from the memory wall. In Proceedings of the International Workshop on Accelerating Analytics and Data management Systems Using Modern Processor and Storage Architectures.
-
Tomé, D, 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).
-
Tomé, D, Santos, P.C, Carro, L, de Almeida, E.C, & Alves, M.A.Z. (2018). HIPE: HMC Instruction Predication Extension Applied on Database Processing. In Proceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018 (pp. 261–264). doi:10.23919/DATE.2018.8342015
Current projects with external funding
-
Actian CWI Research Grant