Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Paula Olaya"'
Publikováno v:
Revista de Ciencias Sociales, Vol 29, Iss 2, Pp 327-339 (2023)
La criminalidad no se agota en la racionalidad del delito, aparece acompañada de un conjunto de creencias, prácticas y maneras de ver el mundo que es importante estudiar. Por lo tanto, como objetivo se llevó a cabo una revisión de la literatura,
Externí odkaz:
https://doaj.org/article/a0239fe6161d425080069c534b31e0e3
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3137 (2022)
Soil moisture is an important parameter that regulates multiple ecosystem processes and provides important information for environmental management and policy decision-making. Spaceborne sensors provide soil moisture information over large areas, but
Externí odkaz:
https://doaj.org/article/42f6bfe082ec497f827b2065f572b9cb
Autor:
Rodrigo Vargas, Jay Lofstead, Dominic Kennedy, Leobardo Valera, Paula Olaya, Michela Taufer, Ricardo M. Llamas
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 34:704-717
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18731d97161376f12b88187c42ac181e
https://doi.org/10.1109/tpds.2022.3220539
https://doi.org/10.1109/tpds.2022.3220539
Autor:
Jay Lofstead, Paula Olaya
Publikováno v:
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a63796f3c370d2d873e6f5441442f384
https://doi.org/10.1145/3578245.3585019
https://doi.org/10.1145/3578245.3585019
Autor:
Paula Olaya, Jakob Luettgau, Ricardo Llamas, Rodrigo Vargas, Jay Lofstead, Sophia Wen, I-Hsin Chung, Seetharami Seelam, Michela Taufer
Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ec3dd90343d0eafb34efb226416d21
Publikováno v:
2022 IEEE 18th International Conference on e-Science (e-Science).
The use of containerization technology in high performance computing (HPC) workflows has substantially increased recently because it makes workflows much easier to develop and deploy. Although many HPC workflows include multiple data and multiple app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::156bb765276b3d8c14e75116bfe7adb0
https://doi.org/10.1109/escience55777.2022.00059
https://doi.org/10.1109/escience55777.2022.00059
Autor:
Paula Olaya, Jakob Luettgau, Naweiluo Zhou, Jay Lofstead, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer
Publikováno v:
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68c994c26a8e2e73b01d49181863d6fb
https://doi.org/10.1145/3502181.3533709
https://doi.org/10.1145/3502181.3533709
Autor:
Jakob Luettgau, Paula Olaya, Naweiluo Zhou, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer
Publikováno v:
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::763f7083c727f66e4391e8718e247704
https://doi.org/10.1145/3502181.3533710
https://doi.org/10.1145/3502181.3533710
Autor:
Naweiluo Zhou, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer, Paula Olaya Garcia, Jakob Luettgau
NSDF Material science workflow example
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb592fb861e6afe28f3dbaa7af68fa09
Autor:
Elizabeth Racca, Rodrigo Vargas, Thomas Kitson, Paula Olaya, Michael R. Wyatt, Mario Guevara, Michela Taufer
Publikováno v:
IEEE BigData
Our poster presents a data analytics strategy to enable scientists to model patterns of soil moisture data at different resolutions across the United States. We build upon previous work of Guevara and co-authors with three contributions. First, we in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8b1254f59904a973d85d4a1804b547e
https://doi.org/10.1109/bigdata.2017.8258536
https://doi.org/10.1109/bigdata.2017.8258536