Swift^[1] is an implicitly parallel programming language that allows programmers to write parallel scripts that distribute program execution across distributed computing resources, including clusters, clouds, grids, and supercomputers^[2]. Rapid dispatch of parallel tasks to a wide range of resources is supported through the Coasters task dispatch mechanism^[3]. An MPI-based implementation of the language^[4] supports very high task execution rates on large clusters and supercomputers.

Language Features

Swift is implicitly parallel, meaning that program statements will automatically run in parallel unless there is a data dependency between them. 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 similar way to scalar variables and functions.

References

^ http://swift-lang.org/
^ Wilde, Michael, Mihael Hategan, Justin M. Wozniak, Ben Clifford, Daniel S. Katz, and Ian Foster. "Swift: A language for distributed parallel scripting." Parallel Computing 37, no. 9 (2011): 633-652
^ Hategan, Mihael, J. Wozniak, and Ketan Maheshwari. "Coasters: uniform resource provisioning and access for scientific computing on clouds and grids." Proc. Utility and Cloud Computing (2011)
^ 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] ttp://swift-lang.org/

[2] Wilde, Michael, Mihael Hategan, Justin M. Wozniak, Ben Clifford, Daniel S. Katz, and Ian Foster. "Swift: A language for distributed parallel scripting." Parallel Computing 37, no. 9 (2011): 633-652

[3] Hategan, Mihael, J. Wozniak, and Ketan Maheshwari. "Coasters: uniform resource provisioning and access for scientific computing on clouds and grids." Proc. Utility and Cloud Computing (2011)

[4] 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

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