Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Pina, Débora"'
Many existing scientific workflows require High Performance Computing environments to produce results in a timely manner. These workflows have several software library components and use different environments, making the deployment and execution of
Externí odkaz:
http://arxiv.org/abs/2403.15324
Autor:
Rosendo, Daniel, Mattoso, Marta, Costan, Alexandru, Souza, Renan, Pina, Débora, Valduriez, Patrick, Antoniu, Gabriel
Publikováno v:
Cluster 2023 - IEEE International Conference on Cluster Computing, Oct 2023, Santa Fe, New Mexico, United States
Modern scientific workflows require hybrid infrastructures combining numerous decentralized resources on the IoT/Edge interconnected to Cloud/HPC systems (aka the Computing Continuum) to enable their optimized execution. Understanding and optimizing
Externí odkaz:
http://arxiv.org/abs/2307.10658
Autor:
Silva, Rômulo, Pina, Débora, Kunstmann, Liliane, de Oliveira, Daniel, Valduriez, Patrick, Coutinho, Alvaro, Mattoso, Marta
Publikováno v:
42nd Ibero-Latin-American Congress on Computational Methods in Engineering and 3rd Pan American Congress on Computational Mechanics
42nd Ibero-Latin-American Congress on Computational Methods in Engineering and 3rd Pan American Congress on Computational Mechanics, Nov 2021, Rio de Janeiro, Brazil. pp.1-7
CILAMCE-PANACM 2021-XLII Ibero-Latin-American Congress on Computational Methods in Engineering-III Pan-American Congress on Computational Mechanics
CILAMCE-PANACM 2021-XLII Ibero-Latin-American Congress on Computational Methods in Engineering-III Pan-American Congress on Computational Mechanics, Nov 2021, Rio de Janeiro, Brazil. pp.1-7
42nd Ibero-Latin-American Congress on Computational Methods in Engineering and 3rd Pan American Congress on Computational Mechanics, Nov 2021, Rio de Janeiro, Brazil. pp.1-7
CILAMCE-PANACM 2021-XLII Ibero-Latin-American Congress on Computational Methods in Engineering-III Pan-American Congress on Computational Mechanics
CILAMCE-PANACM 2021-XLII Ibero-Latin-American Congress on Computational Methods in Engineering-III Pan-American Congress on Computational Mechanics, Nov 2021, Rio de Janeiro, Brazil. pp.1-7
International audience; The growing popularity of Neural Networks in computational science and engineering raises several challenges in configuring training parameters and validating the models. Machine learning has been used to approximate costly co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3c3bb11efe2211c4e7dba48da4a844ae
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03443548/file/CILAMCE-2021-Authors.pdf
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03443548/file/CILAMCE-2021-Authors.pdf
Publikováno v:
SBBD 2020-35ª Simpósio Brasileiro de Banco de Dados
SBBD 2020-35ª Simpósio Brasileiro de Banco de Dados, Sep 2020, Virtual, Brazil. pp.1-6
SBBD 2020-35ª Simpósio Brasileiro de Banco de Dados, Sep 2020, Virtual, Brazil. pp.1-6
International audience; The duration of the life cycle in deep neural networks depends on the data configuration decisions that lead to success in obtaining models. Analyzing hyperparameters along the evolution of the network’s execution allows ada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1618238182e206cc50ab8606287c8b3e
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02969506
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02969506