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Tutorial 5: Optimize: Monitoring Progress

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Terry Cojean edited this page Jul 5, 2021 · 3 revisions

Previous: Optimize: Measuring Performance; Next: Optimize: More Suitable Matrix Formats

Objectives

In this tutorial, you will learn how to get more detailed performance data by attaching exploiting Ginkgo's logging capabilities and attaching callbacks (called loggers) to linear algebra objects. You will learn about gko::log::Stream and gko::log::Json classes, as well as various events linear algebra objects emit.

Previous: Optimize: Measuring Performance; Next: Optimize: More Suitable Matrix Formats

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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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