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Swift/T: scalable data flow programming for many-task applications

Published:23 February 2013Publication History

ABSTRACT

Swift/T, a novel programming language implementation for highly scalable data flow programs, is presented.

References

  1. R. L. Bocchino, Jr., V. S. Adve, S. V. Adve,, M. Snir. Parallel programming must be deterministic by default. In Workshop Hot Topics in Parallelism: HotPar'09. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. J. T. Feo, D. C. Cann,, R. R. Oldehoeft. A report on the Sisal language project. J. Parallel and Distributed Computing, 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Hategan, J. Wozniak,, K. Maheshwari. Coasters: uniform resource provisioning and access for scientific computing on clouds and grids. In Proc. Utility and Cloud Computing. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. E. L. Lusk, S. C. Pieper,, R. M. Butler. More scalability, less pain: A simple programming model and its implementation for extreme computing. SciDAC Review, 2010.Google ScholarGoogle Scholar
  5. K. R. Traub. A compiler for the MIT tagged-token dataflow architecture. Tech. rep., Massachusetts Institute of Technology, 1986. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. M. Wilde, M. Hategan, J. M. Wozniak, B. Clifford, D. S. Katz,, I. Foster. Swift: A language for distributed parallel scripting. Par. Comp., 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. J. M. Wozniak, T. G. Armstrong, E. L. Lusk, D. S. Katz, M. Wilde,, I. T. Foster. Turbine: A distributed memory data flow engine for many-task applications. In Int'l Workshop Scalable Workflow Enactment Engines and Technologies (SWEET) 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Swift/T: scalable data flow programming for many-task applications

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          • Published in

            cover image ACM Conferences
            PPoPP '13: Proceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming
            February 2013
            332 pages
            ISBN:9781450319225
            DOI:10.1145/2442516
            • cover image ACM SIGPLAN Notices
              ACM SIGPLAN Notices  Volume 48, Issue 8
              PPoPP '13
              August 2013
              309 pages
              ISSN:0362-1340
              EISSN:1558-1160
              DOI:10.1145/2517327
              Issue’s Table of Contents

            Copyright © 2013 Authors

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 23 February 2013

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            Overall Acceptance Rate230of1,014submissions,23%

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