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cs.DC2025
DISTRIBUTEDANN: Efficient Scaling of a Single DISKANN Graph Across Thousands of Computers
Philip Adams, Menghao Li, Shi Zhang +6
We present DISTRIBUTEDANN, a distributed vector search service that makes it possible to search over a single 50 billion vector graph index spread across over a thousand machines t…
cs.DC2025
BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU
Karthik V., Saim Khan, Somesh Singh +2
Approximate Nearest Neighbour Search (ANNS) is a subroutine in algorithms routinely employed in information retrieval, pattern recognition, data mining, image processing, and beyon…