Diego Gomes Tomé

Full Name

D. Gomes Tomé

Email

Diego.Tome@cwi.nl

Phone

+31 20 592 4169

Room

L324

Department(s)

Database Architectures

Function(s)

PhD student

Diego Gomes Tomé

Ghita, B, Gomes Tomé, D, & Boncz, P.A. (2020). White-box compression: Learning and exploiting compact table representations. In Proceedings of the Conference on Innovative Data Systems Research.
Gomes Tomé, D, & Boncz, P.A. (2020). Redesigning query engines for white-box compression. In VLDB-PhD 2020 - VLDB 2020 PhD Workshop.
Gubner, T.K, Gomes 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
Gomes 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 (pp. 42–50).
Gomes 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).
Gomes 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

Actian Research Grant II (ACTIAN II)