SOLANET is a distributed GPU toolkit for neighbor graph construction that reports 11X speedup on 512 APUs for 1B points and 6.9X for 2B points.
Searching in one billion vectors: Re-rank with source coding,
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
HRNN combines a navigation graph, ranked KNN graph, and reverse-neighbor lists with proxy-based candidate generation and materialized kNN-radii to achieve up to 10x higher throughput for approximate RkNN on datasets up to 10M vectors.
ACRONYM claims a CAM-accelerated platform for dynamic vector databases that delivers over 90% recall at 8 million queries per second using 32 MB memory and 2.56 uJ per query while supporting updates without stalling.
citing papers explorer
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ACRONYM: Accelerated Approximate Nearest Neighbor Search in Memory for Dynamic Vector Databases
ACRONYM claims a CAM-accelerated platform for dynamic vector databases that delivers over 90% recall at 8 million queries per second using 32 MB memory and 2.56 uJ per query while supporting updates without stalling.