An AppGallery for dataflow computing

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An AppGallery for dataflow computing

Journal Article (2016)

Author(s)

Nemanja Trifunovic (University of Belgrade)

Veljko Milutinovic (University of Belgrade)

Nenad Korolija (University of Belgrade)

Georgi Gaydadjiev (Maxeler Technologies)

Affiliation

External organisation

Dataflow Maxeler Applications Supercomputing

DOI related publication

https://doi.org/10.1186/s40537-015-0038-8 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:665926b0-c791-4eaf-860b-377a29d84a43

More Info

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Publication Year

2016

Language

English

Affiliation

External organisation

Journal title

Journal of Big Data

Issue number

1

Volume number

3

Article number

4

Pages (from-to)

1-30

Downloads counter

145

Abstract

This paper describes the vision behind and the mission of the Maxeler Application Gallery (AppGallery.Maxeler.com) project. First, it concentrates on the essence and performance advantages of the Maxeler dataflow approach. Second, it reviews the support technologies that enable the dataflow approach to achieve its maximum. Third, selected examples of the Maxeler Application Gallery are presented; these examples are treated as the final achievement made possible when all the support technologies are put to work together (internal infrastructure of the AppGallery.Maxeler.com is given in a follow-up paper). As last, the possible impact of the Application Gallery is presented and the major conclusions are drawn.