Massively parallel acceleration methods for image handling operations

Nakhoon Baek, Kwan Hee Yoo

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In the image handling and image processing areas, most operations can be executed in a pixel-by-pixel or cluster-by-cluster manner. These parallel and simultaneous executions have many benefits, and many researchers showed remarkable improvements. In this paper, we started from a specific and practical image handling and feature extraction sequences. We focused on the detailed design and robust implementation on the modern massively parallel architecture of CUDA. We present the enhanced features of our implementation and their design details. Our final result shows 13 times faster execution speed, in comparison with its previous CPU-based implementation. These methods can be applied to the variety of image manipulation processes.

Original languageEnglish
Pages (from-to)1149-1154
Number of pages6
JournalCluster Computing
Volume20
Issue number2
DOIs
StatePublished - 1 Jun 2017

Keywords

  • Accelerated implementation
  • Image handling
  • Massively parallel acceleration

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