An AppGallery for dataflow computing

Nemanja Trifunovic, Veljko Milutinovic*, Nenad Korolija, Georgi Gaydadjiev

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
59 Downloads (Pure)

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.

Original languageEnglish
Article number4
JournalJournal of Big Data
Volume3
Issue number1
DOIs
Publication statusPublished - Dec-2016
Externally publishedYes

Keywords

  • Applications
  • Dataflow
  • Maxeler
  • Supercomputing

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