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Tutorial 5: Optimize: Monitoring Progress
Goran Flegar edited this page May 4, 2018
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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.

Tutorial: Building a Poisson Solver
- Getting Started
- Implement: Matrices
- Implement: Solvers
- Optimize: Measuring Performance
- Optimize: Monitoring Progress
- Optimize: More Suitable Matrix Formats
- Optimize: Using a Preconditioner
- Optimize: Using GPUs
- Customize: Loggers
- Customize: Stopping Criterions
- Customize: Matrix Formats
- Customize: Solvers
- Customize: Preconditioners