Swift (parallel scripting language)

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Short description: Parallel scripting language
Swift
Swift (programing language) logo.png
ParadigmsDataflow, distributed, grid, concurrent, scientific workflow, scripting
DevelopersUniversity of Chicago,
Argonne National Laboratory
First appeared2007; 17 years ago (2007)
Stable release
0.96.2 / August 5, 2015; 8 years ago (2015-08-05)
Typing disciplineStrong
PlatformCross-platform: Java
OSCross-platform: Java
LicenseApache 2.0
Websiteswift-lang.org
Influenced by
C syntax, functional programming
Influenced
Cuneiform

Swift[1] is an implicitly parallel programming language that allows writing scripts that distribute program execution across distributed computing resources,[2] including clusters, clouds, grids, and supercomputers. Swift implementations are open-source software 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 interrelations 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. It 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

Application examples:[7][8]

  • Energy modelling
  • Climate modelling
  • Economic modelling
  • Biochemical protein modelling
  • Magnetic resonance imaging (MRI) analysis in neuroscience
  • Glass structure modelling

See also

References

  1. ↑ "Swift Home Page". swift-lang.org. http://swift-lang.org/. Retrieved 2014-06-02. 
  2. ↑ Wilde, Michael; Hategan, Mihael; Wozniak, Justin M.; Clifford, Ben; Katz, Daniel S.; Foster, Ian (2011). "Swift: A language for distributed parallel scripting". Parallel Computing 37 (9): 633–652. doi:10.1016/j.parco.2011.05.005. Archived from the original on 2014-06-06. https://web.archive.org/web/20140606215300/http://swift-lang.org/papers/SwiftLanguageForDistributedParallelScripting.pdf. 
  3. ↑ Reference manual, chapter 2
  4. ↑ Reference manual, chapter 3
  5. ↑ Hategan, Mihael; Wozniak, Justin; Maheshwari, Ketan (2011). "Coasters: uniform resource provisioning and access for scientific computing on clouds and grids". Proceedings Utility and Cloud Computing. http://swift-lang.org/papers/pdfs/UCC-coasters.pdf. 
  6. ↑ 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
  7. ↑ 7.0 7.1 Wilde, Michael; Foster, Ian; Iskra, Kamil; Beckman, Pete; Zhang, Zhao; Espinosa, Allan; Hategan, Mihael; Clifford, Ben et al. (2009). "Parallel Scripting for Applications at the Petascale and Beyond". Computer 42 (11): 50–60. doi:10.1109/mc.2009.365. Archived from the original on 2014-07-12. https://web.archive.org/web/20140712123547/http://swift-lang.org/papers/SwiftParallelScripting.pdf. 
  8. ↑ Case studies on the official site



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