[examples][xegpu] Add gridsearch and genetic algorithm autotuners

[tkarna]

Adds tune_matmul_gridsearch.py and tune_matmul_ga.py methods. See README.md for instructions.

[tkarna]

Thanks to #63 we can now trace the schedule module to construct the search space, enumerate it, and also automatically check the validity of a given set of parameters (what check_constraints does in the present implementation). This PR does not use this functionality yet, it will be addressed in a forthcoming PR.

[Copilot]

Pull request overview

Adds two autotuning entrypoints for the XeGPU matmul example (exhaustive grid search + genetic algorithm), along with shared utilities and documentation updates to support running/recording tuning experiments.

Changes:

• Add tune_matmul_gridsearch.py for exhaustive parameter search and CSV logging.
• Add tune_matmul_ga.py + genetic_algorithm.py for GA-based adaptive sampling.
• Refactor matmul.py CLI parsing to share args with tuners and add JSON parameter loading; update README and lit excludes.

Reviewed changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated 13 comments.

Show a summary per file

File	Description
examples/xegpu/tune_matmul_gridsearch.py	Implements exhaustive search, constraints filtering, timed execution, CSV logging, and JSON dumping.
examples/xegpu/tune_matmul_ga.py	Implements GA-driven tuning using the shared search-space + logging utilities.
examples/xegpu/matmul.py	Extracts shared CLI parser and adds --json parameter loading path.
examples/xegpu/lit.local.cfg	Excludes non-test helper/tuner scripts from lit discovery.
examples/xegpu/genetic_algorithm.py	New GA + population/search-space utility implementation.
examples/xegpu/csv_logger.py	New small CSV logger utility used by both tuners.
examples/xegpu/README.md	Documents new tuning workflows and updates matmul CLI usage examples.

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[rolfmorel]

LGTM!

[fschlimb]

Nice!