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4 - Parallel Stencils

Published online by Cambridge University Press:  04 May 2022

Richard Ansorge
Affiliation:
University of Cambridge
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Summary

The solution of partial differential equations in two and three-dimensions using stencil iteration (Jacobi’s method) is discussed and illustrated for Laplace’s equation. A very simple kernel gives about a factor of 100 speed-up compared to the host CPU.The very slow convergence of the Jacobi method can be addressed by using solutions on lower resolution grids to initialise higher resolution grids. A convergence check using the maximum change per iteration is also illustrated. Digital image processing is another example of stencil use and a number of digital image filters are shown including the Sobel filter for edge finding and the median filter for noise reduction. The fast GPU-based median filter uses one thread per image pixel and is implemented using an optimal Batcher network.

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Programming in Parallel with CUDA
A Practical Guide
, pp. 106 - 141
Publisher: Cambridge University Press
Print publication year: 2022

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  • Parallel Stencils
  • Richard Ansorge, University of Cambridge
  • Book: Programming in Parallel with CUDA
  • Online publication: 04 May 2022
  • Chapter DOI: https://doi.org/10.1017/9781108855273.005
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  • Parallel Stencils
  • Richard Ansorge, University of Cambridge
  • Book: Programming in Parallel with CUDA
  • Online publication: 04 May 2022
  • Chapter DOI: https://doi.org/10.1017/9781108855273.005
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Parallel Stencils
  • Richard Ansorge, University of Cambridge
  • Book: Programming in Parallel with CUDA
  • Online publication: 04 May 2022
  • Chapter DOI: https://doi.org/10.1017/9781108855273.005
Available formats
×