Swift: Fast, Reliable, Loosely Coupled Parallel Computation
By Yong Zhao, Mihael Hategan, Ben Clifford, Ian T Foster, Gregor von Laszewski, Veronika Nefedova, Ioan Raicu, Tiberiu Stef-Praun, M. Wilde. 2007 IEEE Congress on Services (Services 2007), 2007
440 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/7fd2213b834a5e745deecc0ee375e5be05fd1b2f
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
- Ioan Raicu
- Yong Zhao
- Ian T Foster
- Shiyong Lu
- M. Wilde
- Catalin Dumitrescu
- Rajkumar Buyya
- Patrick Valduriez
In Information Systems and Management
- Ioan Raicu
- Yong Zhao
- Ian T Foster
- Shiyong Lu
- M. Wilde
- Catalin Dumitrescu
- Patrick Valduriez
- R. Ranjan
Citations in the corpus
- Design and Implementation of a General Purpose Parallel Programming System (1996, neutral): “Examples include Swift [39] and its scripting language, Taverna [30], and Triana [36].”
- Cloud Computing and Grid Computing 360-Degree Compared (2008, background): “In Grids, provenance management has been in general built into a workflow system, from early pioneers such as Chimera [22], to modern scientific workflow systems, such as Swift [53], Kepler [35], and VIEW [34] to support the discovery and reproducibility of scientific results.”
- Falkon: a Fast and Light-weight tasK executiON framework (2007, methodology): “Thus, Karajan and Swift applications can use Falkon without modification.”
- Remote sensing big data computing: Challenges and opportunities (2015, background): “Karajan [93] to provide concise specification and scheduling for task graph, also incorporates Falkon [94] a lightweight execution framework for efficient dispatch of large numbers of tasks in Grids.”
- Swift: A language for distributed parallel scripting (2011, neutral): “Keywords: Swift, parallel programming, scripting, dataflow”
- Many-task computing for grids and supercomputers (2008, background): “4) Finally, the combination of both many tasks and large datasets moves us into the data-intensive many-task computing category (green); examples of this category are Swift/Falkon and data diffusion [9], Dryad [ Sawzall [11].”
- A Survey of Data-Intensive Scientific Workflow Management (2015, methodology): “Built-in functions are implemented by the Swift runtime system to perform various utility functions such as numeric conversion, string manipulation, etc.”