Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Jobe D. D. Dos Santos"'
Autor:
Kassiano J. Matteussi, Jobe D. D. Dos Santos, Germano Bertoncello, Cláudio F. R. Geyer, Julio C. S. dos Anjos, Breno F. Zanchetta
Publikováno v:
ISCC
Deep Learning (DL) and Big Data (BD) have converged to a hybrid computing paradigm that merges the dynamic processing in DL models with the computational power of the distributed processing of the BD frameworks. In this context, this work aims to con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0489db4abaaf42bbbf935120a3b245b
https://doi.org/10.1109/iscc47284.2019.8969762
https://doi.org/10.1109/iscc47284.2019.8969762
Autor:
Paulo R. R. De Souza, Jobe D. D. Dos Santos, Julio C. S. dos Anjos, Cláudio F. R. Geyer, Kassiano J. Matteussi, Alexandre da Silva Veith
Publikováno v:
2018 International Conference on High Performance Computing Simulation (HPCS)
2018 International Conference on High Performance Computing Simulation (HPCS), Jul 2018, Orléans, France. pp.585-592, ⟨10.1109/HPCS.2018.00098⟩
HPCS
2018 International Conference on High Performance Computing Simulation (HPCS), Jul 2018, Orléans, France. pp.585-592, ⟨10.1109/HPCS.2018.00098⟩
HPCS
International audience; Stream Processing Engines (SPEs) have to support high data ingestion to ensure the quality and efficiency for the end-user or a system administrator. The data flow processed by SPE fluctuates over time, and requires real-time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb8deb0bab26aae88f4af5149e76a14b
https://hal.inria.fr/hal-01876973/file/Aten_HPCS_18.pdf
https://hal.inria.fr/hal-01876973/file/Aten_HPCS_18.pdf
