Author

Lin-Peng Huang

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Book Open access Sep 2026

Mario: Hierarchically Pipelined Approximate Nearest Neighbor Search on Computational Storage Devices

Scaling Approximate Nearest Neighbor Search (ANNS) to massive datasets exposes fundamental bottlenecks in PCIe bandwidth and random I/O. Computational storage devices (CSDs) promise to mitigate these constraints by enabling near-storage computation, but existing CSD-based ANNS engines employ only coarse-grained produce...

Kaijiang Deng, Shengan Zheng, Penghao Sun et al. · Proceedings of the 19th ACM... · 0 citations

Jun 2026

HEXA: A Disjoint-Subgraph-Based Indexing Framework for Approximate Nearest Neighbor Search at Billion Scale

Approximate Nearest Neighbor (ANN) search is a core operation in large-scale vector databases that support recommendation, semantic search, and retrieval-augmented generation. Graph-based indexes are widely used for their superior search performance at million scale, but scaling them to billion-scale datasets exposes a...

Yi-Fei Xu, Yan-Yan Shen, You-Min Chen et al. · Proceedings of the VLDB Endo... · 0 citations