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Introductory Overview on Implementation Tools

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DataFlow Supercomputing Essentials

Part of the book series: Computer Communications and Networks ((CCN))

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Abstract

When programming the dataflow engines, developers need to change the way of thinking from the way of thinking used when programming CPUs where a program that gets executed in time is written to thinking about how to write a spatial recipe that will best configure the dataflow engines so that the data gets processed in space flowing through the configured devices.

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References

  1. Milutinovic V et al (2015) Guide to dataflow supercomputing: basic concepts, case studies, and a detailed example. Springer, London

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  2. Trifunovic N et al (2017) A novel infrastructure for synergistic dataflow research, development, education, and deployment: the Maxeler appgallery project. Advances in computers. Elsevier

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Authors and Affiliations

  1. School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

    Veljko Milutinovic, Milos Kotlar, Marko Stojanovic & Zoran Babovic

  2. University of Bern, Bern/Fribourg/Neuchâtel, Switzerland

    Igor Dundic

  3. Maxeler Technologies, London, UK

    Nemanja Trifunovic

Authors
  1. Veljko Milutinovic
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  2. Milos Kotlar
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  3. Marko Stojanovic
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  4. Igor Dundic
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  5. Nemanja Trifunovic
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  6. Zoran Babovic
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Milutinovic, V., Kotlar, M., Stojanovic, M., Dundic, I., Trifunovic, N., Babovic, Z. (2017). Introductory Overview on Implementation Tools. In: DataFlow Supercomputing Essentials. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-66125-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-66125-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66124-7

  • Online ISBN: 978-3-319-66125-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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