[REFACTOR] Add sequential kernel data stacking with GPU memory optimization strategies

[Leguark]

Changes

• Introduced _build_stacked_kernel_data_parallel and refactored _build_stacked_kernel_data to enhance parallelization
• Added multiple selective stacking strategies (_stack_sub_struct_split, _stack_sub_struct_pinned, _stack_sub_struct_gpu_first) for improved flexibility
• Enhanced GPU memory handling with explicit profiling zones for optimized tensor operations
• Improved fail-safe concatenation logic to handle various backend configurations
• Replaced parallel kernel data building with sequential approach using _stack_sub_struct_split strategy
• Added pinned memory optimization for high-speed CPU-to-GPU transfers in _stack_sub_struct_pinned

[Leguark]

• [REFACTOR] Remove legacy dual contouring code and simplify octree data structure #67
• [CLN] Remove unused imports and optimize import placement #66
• [OPT] Add memory-aware chunking and optimize PyTorch dual contouring for VRAM efficiency #65
• [ENH] Add PyKeOps environment variable support and parallelize segmentation with GPU streams #64
• [OPT] Enable concurrent processing and optimize PyTorch tensor operations #63
• [OPT] Optimize dual contouring with searchsorted algorithm and configurable multithreading #62
• [REFACTOR] Remove interpolate_scalar_field function and inline weight computation #61
• [ENH] Add PyKeOps fallback mechanism and improve tensor casting for kernel operations #60
• [ENH] Enable PyKeOps with improved CG solver and PyTorch threading fixes #59
• [OPT] Optimize PyTorch backend with compiled kernels and GPU memory management #44
• [FIX] Use sequential kernel data building instead of parallel version #58
• [REFACTOR] Add sequential kernel data stacking with GPU memory optimization strategies #57 👈 (View in Graphite)
• [ENH] Improve fault-aware vertex averaging in dual contouring with geological relationship handling #56
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[Leguark]

Merge activity

• Apr 1, 5:23 PM UTC: A user started a stack merge that includes this pull request via Graphite.
• Apr 1, 5:24 PM UTC: Graphite rebased this pull request as part of a merge.
• Apr 1, 5:29 PM UTC: @Leguark merged this pull request with Graphite.