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.
Proxima: Near-storage acceleration for graph-based approximate nearest neighbor search in 3d nand,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.AR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Co-design of 14.5x compacted index, asynchronous scheduler, and multiplication-free kernel for PIM-based graph ANNS delivers up to 20x CPU and 17.1x GPU throughput on billion-scale benchmarks.
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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.
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Co-Designing Graph-based Approximate Nearest Neighbor Search at Billion Scale for Processing-in-Memory
Co-design of 14.5x compacted index, asynchronous scheduler, and multiplication-free kernel for PIM-based graph ANNS delivers up to 20x CPU and 17.1x GPU throughput on billion-scale benchmarks.