ENH: Optimize various filters for out-of-core data access patterns.#1542
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imikejackson wants to merge 1 commit intoBlueQuartzSoftware:developfrom
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ENH: Optimize various filters for out-of-core data access patterns.#1542imikejackson wants to merge 1 commit intoBlueQuartzSoftware:developfrom
imikejackson wants to merge 1 commit intoBlueQuartzSoftware:developfrom
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…lBadData data structures Replace the stack-based DFS flood-fill algorithm in SegmentFeatures with a two-phase chunk-sequential Connected Component Labeling (CCL) algorithm. This eliminates random-access patterns that cause severe OOC chunk thrashing (22-30x speedup for EBSD/CAxis, 29x for ScalarSegmentFeatures). Apply the same vector-based data structure optimizations to FillBadData: replace unordered_map provisional labels with dense vector buffer, eliminate backward neighbor reads from OOC featureIdsStore, and replace hash-based region classification with direct vector lookups. Shared UnionFind utility uses vector storage with path-halving compression and union-by-rank for near-O(1) amortized operations. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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This is now in #1545 |
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Replace the stack-based DFS flood-fill algorithm in SegmentFeatures with a two-phase chunk-sequential Connected Component Labeling (CCL) algorithm. This eliminates random-access patterns that cause severe OOC chunk thrashing (22-30x speedup for EBSD/CAxis, 29x for ScalarSegmentFeatures).
Apply the same vector-based data structure optimizations to FillBadData: replace unordered_map provisional labels with dense vector buffer, eliminate backward neighbor reads from OOC featureIdsStore, and replace hash-based region classification with direct vector lookups.
Shared UnionFind utility uses vector storage with path-halving compression and union-by-rank for near-O(1) amortized operations.