feat: add chunking support to par and par' in Lean.Elab.Parallel
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This PR adds optional chunking support to the `par` and `par'` functions in `Lean.Elab.Parallel` for CoreM, MetaM, TermElabM, and TacticM. This reduces task creation overhead when there are many small jobs by grouping them into chunks that run sequentially within each parallel task. New optional parameters: - `maxTasks : Nat := 0` - Maximum number of parallel tasks (0 = no limit) - `minChunkSize : Nat := 1` - Minimum jobs per chunk Example: With 1000 jobs and `maxTasks := 128, minChunkSize := 8`: - Chunk size = max(8, ceil(1000/128)) = 8 - Creates ~125 parallel tasks instead of 1000 Default behavior (maxTasks = 0) is unchanged - one task per job. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Add `parIterWithCancelChunked` functions for CoreM, MetaM, TermElabM, and TacticM that support chunking jobs into groups to reduce task creation overhead. The original `parIterWithCancel` functions remain unchanged for backward compatibility. The new chunked variants accept `maxTasks` and `minChunkSize` parameters to control parallelism. This enables PRs that use `parIterWithCancel` (like parallel library search and rewrites) to benefit from chunking by switching to the new `parIterWithCancelChunked` function with `maxTasks := 128`. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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This PR adds optional chunking support to the
parandpar'functions inLean.Elab.Parallelfor CoreM, MetaM, TermElabM, and TacticM. This reduces task creation overhead when there are many small jobs by grouping them into chunks that run sequentially within each parallel task.New optional parameters
maxTasks : Nat := 0- Maximum number of parallel tasks (0 = no limit, original behavior)minChunkSize : Nat := 1- Minimum jobs per chunkExample
With 1000 jobs and
maxTasks := 128, minChunkSize := 8:Backward compatibility
Default behavior (maxTasks = 0) is unchanged - one task per job. Existing code continues to work without modification.
🤖 Prepared with Claude Code