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A comparison between HPF and PVM for data parallel algorithm on a cluster of workstations using a high speed network

  • A. Branca
  • M. Ianigro
  • A. Distante
Poster
Part of the Lecture Notes in Computer Science book series (LNCS, volume 919)

Abstract

In the data parallelism model, the data is partitioned and distributed to all the machines. Operations (often similar) are performed on each set of data and information is passed between processes until the problem is solved. The data parallel algorithm we have implemented simulates the Koch neural network to estimate the optical flow with the gradient-based approach proposed by Horn and Schunk.

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • A. Branca
    • 1
  • M. Ianigro
    • 1
  • A. Distante
    • 1
  1. 1.Istituto Elaborazione Segnali ed ImmaginiC.N.R.BariItaly

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