How to do clustering grid search with multiple CPUs / GPUs?

Currently i'm building a wasm project that will expose some clustering functionality to the browser.

Questions:

• Do we have grid search functionality? Or should I simply loop over multiple model.fit calls sequentially?
• What's the easiest way to implement this for 3x clustering techniques?

I'm looking to use all of these:
https://github.com/rust-ml/linfa/blob/master/algorithms/linfa-clustering/examples/dbscan.rs
https://github.com/rust-ml/linfa/blob/master/algorithms/linfa-clustering/examples/kmeans.rs
https://github.com/rust-ml/linfa/blob/master/algorithms/linfa-clustering/examples/optics.rs

• Also do I need to implement multi-core processing similar to joblib in python? Or is this handled by linfa?

Thanks in advance, and great package btw!

Start by reviewing the linked linfa-clustering DBSCAN, KMeans, and OPTICS examples and the repository's existing search or parallel-processing entry points. Determine whether grid search and multi-core or GPU execution are already supported, and define whether the outcome should be usage guidance, documentation, or a scoped implementation.