Multiprobe grid ANN maintains roughly constant d-scaling on GloVe while graph/tree/partitioning methods degrade, with near-linear N scaling and lower indexing cost.
Fast attention mechanisms: a tale of parallelism , shorttitle =
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Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions
Multiprobe grid ANN maintains roughly constant d-scaling on GloVe while graph/tree/partitioning methods degrade, with near-linear N scaling and lower indexing cost.