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

[Feature] Evaluate using Profile-Guided Optimization (PGO) and LLVM BOLT #3226

Open
zamazan4ik opened this issue Nov 1, 2023 · 0 comments
Open
Labels
feature A new feature.

Comments

@zamazan4ik
Copy link

zamazan4ik commented Nov 1, 2023

🚀 Feature

Optimize Leo tools (like the compiler) with Profile-Guided Optimization (PGO) and LLVM BOLT.

Motivation

Deliver better performance for the Leo ecosystem. It would be useful for CI/CD pipelines (faster pipelines == cheaper pipelines) and better developer experience (faster write-compile-test feedback loop).

Implementation

Recently I checked Profile-Guided Optimization (PGO) improvements on multiple projects. The results are here. E.g. PGO results for LLVM-related tooling are here. According to the tests, PGO usually helps with the compiler and compiler-like workloads (like static analysis) - e.g. Clang gets +20% compilation speed with PGO, CPython achieves +10% in pybench. So I think optimizing Leo tooling with PGO would be a good idea at least to try.

I can suggest the following action points:

  • Perform PGO benchmarks on the Leo tooling. If it shows improvements - add a note to the documentation about possible improvements in Leo's performance with PGO.
  • Providing an easier way (e.g. a build option) to build scripts with PGO can be helpful for the end-users and maintainers since they will be able to optimize the Leo tools according to their own workloads.
  • Optimize pre-built binaries with PGO

Testing Post-Link Optimization techniques (like LLVM BOLT) would be interesting too (CPython, Clang, and Rustc already use BOLT as an addition to PGO) but I recommend starting from the usual PGO.

For the Rust projects, I recommend starting with cargo-pgo.

Here are some examples of how PGO optimization is integrated in other projects:

Are you willing to open a pull request? (See CONTRIBUTING)

Not yet.

How the Leo compiler performance is critical for the project - I don't know right now. If it's the problem right now - we could leave the issue open for the future improvements.

@zamazan4ik zamazan4ik added the feature A new feature. label Nov 1, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
feature A new feature.
Projects
None yet
Development

No branches or pull requests

1 participant