[ENH] Refactor dual contouring with parallel and sequential triangulation modules

[Leguark]

Refactor Dual Contouring with Parallel Processing Support

This PR refactors the dual contouring implementation to support parallel processing for multiple surfaces. The changes include:

• Added parallel processing capability using torch.multiprocessing or standard multiprocessing
• Split triangulation logic into separate modules for better organization:
  • _parallel_triangulation.py for multi-process surface processing
  • _sequential_triangulation.py for single-process processing
• Implemented worker initialization to prevent thread oversubscription
• Added logic to automatically determine when parallel processing is beneficial
• Fixed gradient data handling to ensure compatible dtypes between tensors
• Improved error handling and fallback to sequential processing when needed

Currently, parallel processing is disabled by default as benchmarks don't show significant speedup yet, but the infrastructure is in place for future optimization.

[Leguark]

• [FIX] Reuse weights calculation instead of raising error on hash mismatch #27
• [ENH] Refactor dual contouring with parallel and sequential triangulation modules #26 👈 (View in Graphite)
• [ENH] Refactor dual contouring code with improved documentation and modular functions #25
• [REFACTOR] Use center grid for dual contouring instead of corners grid #24
• [FIX] Use timestamp for cache key instead of input parameters #23
• [FIX] Fix PyKeops tensor operations and ensure contiguous arrays #22
• [ENH] Add PyTorch backend support for dual contouring and octree operations #21
• [!!BUG] Chunking with faults were creating rogue voxels | GEN-13299 #20
• [ENH] Add transform support to meshes_to_subsurface method #19
• [FIX] Separate pykeops_enabled flag from use_pykeops for better control #18
• [ENH] Improve CG solver and add weights caching for better performance #17
• main

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[Leguark]

Merge activity

• Sep 25, 8:42 AM UTC: A user started a stack merge that includes this pull request via Graphite.
• Sep 25, 8:47 AM UTC: Graphite rebased this pull request as part of a merge.
• Sep 25, 8:48 AM UTC: @Leguark merged this pull request with Graphite.