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pro vyhledávání: '"Crawl, Daniel"'
Autor:
Baldota, Siddhant, Ramaprasad, Shreyas Anantha, Bhamra, Jaspreet Kaur, Luna, Shane, Ramachandra, Ravi, Zen, Eugene, Kim, Harrison, Crawl, Daniel, Perez, Ismael, Altintas, Ilkay, Cottrell, Garrison W., Nguyen, Mai H.
Research has shown that climate change creates warmer temperatures and drier conditions, leading to longer wildfire seasons and increased wildfire risks in the United States. These factors have in turn led to increases in the frequency, extent, and s
Externí odkaz:
http://arxiv.org/abs/2212.14143
Scientific workflows are powerful tools for management of scalable experiments, often composed of complex tasks running on distributed resources. Existing cyberinfrastructure provides components that can be utilized within repeatable workflows. Howev
Externí odkaz:
http://arxiv.org/abs/1903.01403
Autor:
Altintas, Ilkay, Marcus, Kyle, Nealey, Isaac, Sellars, Scott L., Graham, John, Mishin, Dima, Polizzi, Joel, Crawl, Daniel, DeFanti, Thomas, Smarr, Larry
The advances in data, computing and networking over the last two decades led to a shift in many application domains that includes machine learning on big data as a part of the scientific process, requiring new capabilities for integrated and distribu
Externí odkaz:
http://arxiv.org/abs/1903.06802
Autor:
Garcia-Silva, Andres, Gomez-Perez, Jose Manuel, Palma, Raul, Krystek, Marcin, Mantovani, Simone, Foglini, Federica, Grande, Valentina, De Leo, Francesco, Salvi, Stefano, Trasati, Elisa, Romaniello, Vito, Albani, Mirko, Silvagni, Cristiano, Leone, Rosemarie, Marelli, Fulvio, Albani, Sergio, Lazzarini, Michele, Napier, Hazel J., Glaves, Helen M., Aldridge, Timothy, Meertens, Charles, Boler, Fran, Loescher, Henry W., Laney, Christine, Genazzio, Melissa A, Crawl, Daniel, Altintas, Ilkay
Data-intensive science communities are progressively adopting FAIR practices that enhance the visibility of scientific breakthroughs and enable reuse. At the core of this movement, research objects contain and describe scientific information and reso
Externí odkaz:
http://arxiv.org/abs/1809.10617
Workflows provide an expressive programming model for fine-grained control of large-scale applications in distributed computing environments. Accurate estimates of complex workflow execution metrics on large-scale machines have several key advantages
Externí odkaz:
http://arxiv.org/abs/1711.05429
Akademický článek
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Publikováno v:
In Procedia Computer Science 2017 108:1572-1581
Publikováno v:
In Procedia Computer Science 2017 108:2230-2239
Autor:
Ieong, Pek U., Sørensen, Jesper, Vemu, Prasantha L., Wong, Celia W., Demir, Özlem, Williams, Nadya P., Wang, Jianwu, Crawl, Daniel, Swift, Robert V., Malmstrom, Robert D., Altintas, Ilkay, Amaro, Rommie E.
Publikováno v:
In Procedia Computer Science 2014 29:1745-1755
Publikováno v:
In Procedia Computer Science 2014 29:546-556