GPU Acceleration - V4: Difference between revisions

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** Data structure for the GPU (GPU image class)
** Data structure for the GPU (GPU image class)
** Extend filter architecture to support the GPU
** Extend filter architecture to support the GPU
** Basic image operators on the GPU
** Basic GPU image operators


== Authors ==
== Authors ==

Revision as of 15:22, 20 October 2010

This page outlines the proposed GPU acceleration framework in ITK v4.

Goals

  • Add the support for the GPU processing in ITK
    • Data structure for the GPU (GPU image class)
    • Extend filter architecture to support the GPU
    • Basic GPU image operators

Authors

GPU supports in ITK v4 has been proposed by Harvard University and University of Utah.

  • Won-Ki Jeong (wkjeong -at- seas.harvard.edu)
  • Hanspeter Pfister (pfister -at- seas.harvard.edu)
  • Ross Whitaker (whitaker -at- cs.utah.edu)


Plans