Swift (parallel scripting language)
Developer | University of Chicago and Argonne National Laboratory |
---|---|
First appeared | 2007 |
Stable release | 0.94.1 / 09/30/2013 |
License | Apache License, Version 2.0 |
Website | http://swift-lang.org |
Influenced by | |
C syntax, functional programming, concurrent programming languages, scientific workflow systems, grid computing |
Swift[1] is an implicitly parallel programming language that allows the writing of scripts that distribute program execution across distributed computing resources,[2] including clusters, clouds, grids, and supercomputers. Swift implementations are open source under the Apache License, version 2.0.
Language features
A Swift script[3] describes strongly typed data, application components, invocations of applications components, and the inter-relations in the dataflow between those invocations. The program statements will automatically run in parallel unless there is a data dependency between them, given sufficient computing resources. The design of the language guarantees that results of a computation are deterministic, even though the order in which statements executes may vary. A special file data type is built into Swift and Swift allows command-line programs to be integrated into a program as typed functions. This allows programmers to write programs that treat command-line programs and files in the same way as regular functions and variables. A concept of "mapping"[4] is used to store and exchange complex data structures using a file system structure with files and directories.
Rapid dispatch of parallel tasks to a wide range of resources is implemented through a mechanism called "Coasters task dispatch".[5] A Message Passing Interface based implementation of the language[6] supports very high task execution rates (e.g., 3000 tasks per second)[7] on large clusters and supercomputers.
Area of applications
- Climate modelling
- Economic modelling
- Biochemical protein modelling
- MRI analysis in neuroscience
See also
References
- ↑ "Swift Home Page". swift-lang.org. Retrieved 2014-06-02.
- ↑ Wilde, Michael; Hategan, Mihael; Wozniak, Justin M.; Clifford, Ben; Katz, Daniel S.; Foster, Ian (2011). "Swift: A language for distributed parallel scripting" (PDF). Parallel Computing 37 (9): 633–652. doi:10.1016/j.parco.2011.05.005.
- ↑ Reference manual, chapter 2
- ↑ Reference manual, chapter 3
- ↑ Hategan, Mihael; Wozniak, Justin; Maheshwari, Ketan (2011). "Coasters : uniform resource provisioning and access for scientific computing on clouds and grids" (PDF). Proceedings Utility and Cloud Computing.
- ↑ Wozniak, Justin M., Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Ewing Lusk, and Ian T. Foster. "Swift/T: Large-scale Application Composition via Distributed-memory Dataflow Processing." In Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on, pp. 95-102. IEEE, 2013
- 1 2 Wilde, Michael; Foster, Ian; Iskra, Kamil; Beckman, Pete; Zhang, Zhao; Espinosa, Allan; Hategan, Mihael; Clifford, Ben; Raicu, Ioan (2009). "Parallel Scripting for Applications at the Petascale and Beyond" (PDF). Computer 42 (11): 50–60. doi:10.1109/mc.2009.365.
- ↑ Case studies on the official site