CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA
Summary: CoTra: distributed ANN/vector search over RDMA, exploiting approximate/asynchronous execution to break the compute–communication tension. Clustered partitioning + task push/batching enable collaborative search that scales to 9.8–13.4x on 16 machines and beats baselines at high recall. (summarized by gpt-5.4-mini on Apr 11 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiangyu Zhi
- 2. Meng Chen
- 3. Xiao Yan
- 4. Baotong Lu
- 5. Hui Li
- 6. Qianxi Zhang
- 7. Qi Chen
- 8. James Cheng
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,237 | Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search | 2026 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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