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Summary

This PR updates the LinearSolveAutotune documentation to accurately reflect the current implementation, including the simplified AutotuneResults-based interface and GitHub-based result sharing workflow.

Changes

Interface Updates

  • Updated to reflect that autotune_setup() returns an AutotuneResults object containing results_df and sysinfo
  • Documented the plot(results) method for generating performance visualizations
  • Documented the share_results(results) function for community sharing
  • Removed outdated references to the old three-value return signature

Content Improvements

  • Clarified size categories: Documented all five categories (:tiny, :small, :medium, :large, :big) with their actual size ranges
  • Updated defaults: Correctly documented that Float64 is the default element type and [:tiny, :small, :medium, :large] are the default sizes
  • GitHub authentication: Added comprehensive instructions for both gh CLI and personal access token methods
  • Privacy information: Added clear notes about optional sharing and what data is collected
  • Advanced usage: Added sections on custom pipelines and batch testing
  • Troubleshooting: Added common issues and solutions

Examples Added

  • Performance data analysis with DataFrames
  • Plotting and saving visualizations
  • Accessing system information from results
  • Custom benchmark pipelines
  • Batch testing multiple configurations
  • GPU-specific configurations

Documentation Structure

The updated documentation follows a logical progression:

  1. Quick Start - Get users running immediately
  2. Understanding Results - Explain what they're looking at
  3. Customization - Show how to tailor benchmarks
  4. Sharing - Community contribution workflow
  5. Working with Results - Data analysis and visualization
  6. Advanced Usage - Power user features
  7. Troubleshooting - Common problems and solutions

Related Issues

  • Implements documentation for the current autotuning system
  • References community benchmark collection issue Autotune Results #669

🤖 Generated with Claude Code

Co-Authored-By: Claude [email protected]

…ased workflow

- Updated to reflect current AutotuneResults object structure
- Documented the new simplified interface (autotune_setup returns AutotuneResults)
- Added comprehensive examples for the plot() and share_results() functions
- Clarified the current size categories (:tiny, :small, :medium, :large, :big)
- Updated GitHub authentication instructions for both gh CLI and token methods
- Added detailed examples for customizing benchmarks
- Included troubleshooting section for common issues
- Documented the community sharing workflow via GitHub issue SciML#669
- Clarified that preference setting is still under development
- Added examples for advanced usage patterns
@ChrisRackauckas ChrisRackauckas merged commit c3dab6b into SciML:main Aug 8, 2025
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2 participants