RTScan: Efficient Scan with Ray Tracing Cores
Summary: RTScan maps conjunctive predicate evaluation to a 3D ray-tracing formulation to exploit GPU RT cores for index scans. Uses Uniform Encoding, Data Sieving, and Matrix RT Refine to mitigate skew/heavy ray loads, yielding up to 5 orders of magnitude speedup and 4.6× vs CPU. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yangming Lv
- 2. Kai Zhang
- 3. Ziming Wang
- 4. Xiaodong Zhang
- 5. Rubao Lee
- 6. Zhenying He
- 7. Yinan Jing
- 8. X. Sean Wang
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,976 | Raster is Faster: Rethinking Ray Tracing in Database Indexing | 2026 | CIDR | 4.1945683e-05 |
| 10,290 | RayDB: Building Databases with Ray Tracing Cores | 2026 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10,290 | RayDB: Building Databases with Ray Tracing Cores | 2026 | VLDB | 4.1945683e-05 |
| 9,976 | Raster is Faster: Rethinking Ray Tracing in Database Indexing | 2026 | CIDR | 4.1945683e-05 |