DBScholar

Back to papers

Efficient Index Layout and Search Strategy for Large-scale High-dimensional Vector Similarity Search

Summary: Laser shows that on-disk graph ANNS becomes compute-, rather than I/O-, bound at high dimensionality, challenging conventional optimization priorities. Its SIMD-friendly layout, degree-aware caching, clustered entry points, and early dispatch achieve in-memory-level throughput. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7418
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,227 | 29.84%
DOI
10.1145/3802045

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{chen_sigmod26,
        title = {{Efficient Index Layout and Search Strategy for Large-scale High-dimensional Vector Similarity Search}},
        author = {Chen, Weijian and Liu, Haotian and Deng, Yangshen and Xiang, Long and Huang, Liang and Tang, Bo},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802045},
        url = {https://dl.acm.org/doi/10.1145/3802045},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
93 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00034701237
286 Milvus: A Purpose-Built Vector Data Management System 2021 SIGMOD 0.00022357911
398 A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search 2021 VLDB 0.00019194947
1,357 RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search 2024 SIGMOD 0.00011043994
1,589 Manu: A Cloud Native Vector Database Management System 2022 VLDB 0.00010264469
1,735 High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations 2023 SIGMOD 9.9004924e-05
1,760 Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment 2024 SIGMOD 9.8157819e-05
2,519 Similarity search in the blink of an eye with compressed indices 2023 VLDB 8.4741476e-05
2,534 ELPIS: Graph-Based Similarity Search for Scalable Data Science 2023 VLDB 8.4561875e-05
2,828 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 8.0803679e-05
3,001 What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines 2023 VLDB 7.8673493e-05
3,799 SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search 2025 SIGMOD 7.114484e-05
4,116 RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search 2024 VLDB 6.892012e-05
6,432 RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference 2026 VLDB 5.8801533e-05
6,650 Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities 2025 SIGMOD 5.8146324e-05
7,826 AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference 2025 SIGMOD 5.53654e-05
8,898 Cracking Vector Search Indexes 2025 VLDB 5.3495662e-05
Previous Page 1 / 1 Next

Semantically Similar Papers