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Hardware-Software Co-Design for Kohonen's Self-Organizing Map

Péter Arató, Zoltán Ádám Mann, András Orbán

Year
2012
Citations
2

Abstract

Kohonen's self-organizing map (SOM) is a widely used technique to cluster unstructured data. It has applications in computer graphics, image processing, robotics, soft-computing and many more. The exact speci cation and time requirements may vary according to the concrete application, therefore a re-design of Kohonen's SOM o ering several di erent performance/cost trade-o s by using special purpose hardware acceleration would be bene cial. This paper introduces the main principles of systemlevel synthesis (SLS) which aims at constructing optimal hardware-software systems ful lling a high-level speci cation and applies its methodologies to construct di erent hardware-software SOM realizations corresponding to the concrete expectations.

Keywords

Self-organizing mapComputer scienceSoftwareGraphicsArtificial intelligenceConstruct (python library)RoboticsPattern recognition (psychology)Artificial neural networkComputer graphics (images)

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