Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Hermano Lustosa"'
Autor:
Hermano Lustosa, Anderson Chaves da Silva, Patrick Valduriez, Daniel N. R. da Silva, Fabio Porto
Publikováno v:
Journal of Information and Data Management
Journal of Information and Data Management, 2021, 11 (3), pp.247-264. ⟨10.5753/jidm.2020.2021⟩
Journal of Information and Data Management, Brazilian Computer Society, 2020, 11 (3), pp.247-264
Journal of Information and Data Management, 2021, 11 (3), pp.247-264. ⟨10.5753/jidm.2020.2021⟩
Journal of Information and Data Management, Brazilian Computer Society, 2020, 11 (3), pp.247-264
Limitations in current DBMSs prevent their wide adoption in scientific applications. In order to make them benefit from DBMS support, enabling Declarative data analysis and visualization over scientific data, we present an in-memory array DBMS system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ef1d70d75b87797ccec776595d1cfe2
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03144324/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03144324/document
Publikováno v:
34th Brazilian Symposium on Databases
SBBD 2019-34ª edição do Simpósio Brasileiro de Banco de Dados
SBBD 2019-34ª edição do Simpósio Brasileiro de Banco de Dados, SBC, Oct 2019, Fortaleza, Brazil. pp.1-12, ⟨10.5753/sbbd.2019.8810⟩
sbbd.org.br/2019
SBBD
SBBD 2019-Simpósio Brasileiro de Banco de Dados
SBBD 2019-Simpósio Brasileiro de Banco de Dados, SBC, Oct 2019, Fortaleza, Brazil. pp.1-12
SBBD 2019-34ª edição do Simpósio Brasileiro de Banco de Dados
SBBD 2019-34ª edição do Simpósio Brasileiro de Banco de Dados, SBC, Oct 2019, Fortaleza, Brazil. pp.1-12, ⟨10.5753/sbbd.2019.8810⟩
sbbd.org.br/2019
SBBD
SBBD 2019-Simpósio Brasileiro de Banco de Dados
SBBD 2019-Simpósio Brasileiro de Banco de Dados, SBC, Oct 2019, Fortaleza, Brazil. pp.1-12
International audience; Limitations in current DBMSs prevent their wide adoption in scientific applications. In order to make scientific applications benefit from DBMS support, enabling declarative data analysis and visualization over scientific data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2559dcedd5dcc64d7334780cfbc4193a
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02266483/file/sbbd19.pdf
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02266483/file/sbbd19.pdf
Publikováno v:
Proceedings of the VLDB Endowment (PVLDB)
Proceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2016, 9 (13), pp.1329-1340
Scopus-Elsevier
Proceedings of the VLDB Endowment (PVLDB), 2016, 9 (13), pp.1329-1340. ⟨10.14778/3007263.3007271⟩
Proceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2016, 9 (13), pp.1329-1340
Scopus-Elsevier
Proceedings of the VLDB Endowment (PVLDB), 2016, 9 (13), pp.1329-1340. ⟨10.14778/3007263.3007271⟩
International audience; Supported by increasingly efficient HPC infrastructure , numerical simulations are rapidly expanding to fields such as oil and gas, medicine and meteorology. As simulations become more precise and cover longer periods of time,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a23b0fe8b7405f30fc20f5f3bc79efe
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01363738/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01363738/document