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Tutorial 13: Customize: Preconditioners

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Goran Flegar edited this page May 4, 2018 · 2 revisions

Previous: Customize: Solvers; Top: Building a 2D Poisson Solver

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Welcome to the last tutorial of this series! This final advanced session will show you how to create a custom version of the block-Jacobi preconditioner, which exploits the special structure of your matrix for huge memory and performance savings.

Previous: Customize: Solvers; Top: Building a 2D Poisson Solver

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Tutorial: Building a Poisson Solver

  1. Getting Started
  2. Implement: Matrices
  3. Implement: Solvers
  4. Optimize: Measuring Performance
  5. Optimize: Monitoring Progress
  6. Optimize: More Suitable Matrix Formats
  7. Optimize: Using a Preconditioner
  8. Optimize: Using GPUs
  9. Customize: Loggers
  10. Customize: Stopping Criterions
  11. Customize: Matrix Formats
  12. Customize: Solvers
  13. Customize: Preconditioners

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