Author:
Ferreira da Silva Rafael,Filgueira Rosa,Pietri Ilia,Jiang Ming,Sakellariou Rizos,Deelman Ewa
Funder
US Department of Energy (DOE) by Lawrence Livermore National Laboratory (LLNL)
Laboratory Directed Research and Development Program at LLNL
Scottish Informatics and Computer Science Alliance (SICSA)
Postdoctoral and Early Career Researcher Exchanges (PECE) fellowship
DOE
EU Horizon2020
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference85 articles.
1. Workflows for E-Science: Scientific Workflows for Grids;Taylor,2007
2. Pegasus applications, https://pegasus.isi.edu/application-showcase/
3. Pegasus, a workflow management system for science automation;Deelman;Future Gener. Comput. Syst.,2015
4. dispel4py: A python framework for data-intensive scientific computing;Filgueira;Int. J. High Perform. Comput. Appl.,2016
5. M. Albrecht, P. Donnelly, P. Bui, D. Thain, Makeflow: A portable abstraction for data intensive computing on clusters, clouds, and grids, in: Proceedings of the 1st ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies, ACM, 2012, p. 1. http://dx.doi.org/10.1145/2443416.2443417
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