Parallelizing Image Feature Extraction on Coarse-Grain Machines

  • Authors:
  • Yongwha Chung;Viktor K. Prasanna

  • Affiliations:
  • Electronics and Telecommunications Research Institute, Taejon, Korea;Univ. of Southern California, Los Angeles

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 1998

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Abstract

In this paper, we present a fast parallel algorithm for feature extraction on coarse-grain MIMD machines. By maintaining algorithmic threads at each node, our algorithm enhances processor utilization and obtains large speed-ups. Our implementations show that, given a 1,024 脳 1,024 image, speed-ups of 27.6 and 56.0 on a 32-node SP2 and a 64-node T3D can be achieved.