Swift: A language for distributed parallel scripting
By M. Wilde, Mihael Hategan, Justin M. Wozniak, Ben Clifford, Daniel S. Katz, Ian T Foster. Parallel Computing, 2011
426 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/9ca2a17fa3669323dbcb367e6c70ff9acb969b6d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- M. Wilde
- Ian T Foster
- Patrick Valduriez
- Esther Pacitti
- Marta Mattoso
- Ji Liu
- Ben Clifford
- Daniel S. Katz
In Information Systems and Management
- Ian T Foster
- M. Wilde
- Patrick Valduriez
- Esther Pacitti
- Marta Mattoso
- Ji Liu
- Shaowen Wang
- Rajkumar Buyya
Citations in the corpus
- FireWorks: a dynamic workflow system designed for high‐throughput applications (2015, methodology): “In this paper, we describe how this approach allows FWS to support a unique combination of features found in other work fl ow systems [11 – 19] and introduce new ideas such as subwork fl ow duplicate matching based on JSON equivalence.”
- Parsl: Pervasive Parallel Programming in Python (2019, methodology): “Since a future is created and updated only by a specific App invocation, it acts as a single-update variable, as commonly used in task-parallel systems [19, 27, 28, 39].”
- A Survey of Data-Intensive Scientific Workflow Management (2015, background): “Built-in functions are implemented by the Swift runtime system to perform various utility functions such as numeric conversion, string manipulation, etc.”