Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Silvina Caino-Lores"'
Publikováno v:
IEEE Access, Vol 7, Pp 156929-156955 (2019)
Convergence between high-performance computing (HPC) and big data analytics (BDA) is currently an established research area that has spawned new opportunities for unifying the platform layer and data abstractions in these ecosystems. This work presen
Externí odkaz:
https://doaj.org/article/754198e84bc744878bf41e35187dbef7
Autor:
Jakob Luettgau, Silvina Caino-Lores, Kae Suarez, Dong H. Ahn, Stephen Herbein, Michela Taufer
Publikováno v:
2022 IEEE 18th International Conference on e-Science (e-Science).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78a46ef5d323a960c6c320c416e41a71
https://doi.org/10.1109/escience55777.2022.00081
https://doi.org/10.1109/escience55777.2022.00081
Autor:
Tu Mai Anh Do, Loic Pottier, Rafael Ferreira da Silva, Frederic Suter, Silvina Caino-Lores, Michela Taufer, Ewa Deelman
Molecular dynamics (MD) simulations are widely used to study large-scale molecular systems. HPC systems are ideal platforms to run these studies, however, reaching the necessary simulation timescale to detect rare processes is challenging, even with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbd3f6c14c719c41683fc50b00c996fe
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bef10e1a3ec11b4df2e1eb46516dcb27
https://doi.org/10.1109/tpds.2022.3140681
https://doi.org/10.1109/tpds.2022.3140681
Publikováno v:
Data in Brief, Vol 40, Iss , Pp 107780- (2022)
Neural Networks (NNs) are increasingly used across scientific domains to extract knowledge from experimental or computational data. An NN is composed of natural or artificial neurons that serve as simple processing units and are interconnected into a
Externí odkaz:
https://doaj.org/article/c0d1c07fb66d4e77af50209ec9474fd8