An AppGallery for dataflow computing

Journal article (2016)

Authors

Nemanja Trifunović University of Belgrade

Veljko Milutinovic University of Belgrade

Nenad Korolija University of Belgrade

G. Gaydadjiev Maxeler Technologies

Affiliation

External organisation

Dataflow Maxeler Applications Supercomputing

To reference this document use:

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

More Info

expand_more

Published Date

01-12-2016

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Affiliation

External organisation

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.