Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Evaluate Profile-Guided Optimization (PGO) and LLVM BOLT #1251

Closed
zamazan4ik opened this issue Sep 24, 2023 · 0 comments
Closed

Evaluate Profile-Guided Optimization (PGO) and LLVM BOLT #1251

zamazan4ik opened this issue Sep 24, 2023 · 0 comments

Comments

@zamazan4ik
Copy link

Hi!

Recently I did many Profile-Guided Optimization (PGO) benchmarks on multiple projects (including static analysis tools and compilers like Rustc, Clang, Clangd, Clang Tidy, and many others) - the results are available here. So that's why I think it's worth trying to apply PGO to Natalie.

I can suggest the following things to do:

  • Evaluate PGO's applicability and benchmark results to Natalie.
  • If PGO helps to achieve better performance - add a note to Natalie's documentation about that. In this case, users and maintainers will be aware of another optimization opportunity for Natalie.
  • Provide PGO integration into the build scripts. It can help users and maintainers easily apply PGO for their own workloads.

Here are some PGO integration examples in the existing build scripts in other projects:

Some PGO documentation examples:

After PGO, I can suggest evaluating LLVM BOLT as an additional optimization step after PGO.

@seven1m seven1m closed this as completed Sep 24, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants