Raster is Faster: Rethinking Ray Tracing in Database Indexing
Summary: Challenges premise that GPU ray tracing is best for column indexing; proposes rasterization-based RasterScan using arithmetic value comparisons instead of ray-triangle intersections while preserving the RT data model. Evaluation on large datasets shows consistent, often order-of-magnitude, speedups in index build and search. (summarized by gpt-5-mini on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0032118946 |
| 5,437 | RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing | 2023 | VLDB | 5.5043792e-05 |
| 5,762 | BinDex: A Two-Layered Index for Fast and Robust Scans | 2020 | SIGMOD | 5.3367636e-05 |
| 7,482 | RTScan: Efficient Scan with Ray Tracing Cores | 2024 | VLDB | 4.7135369e-05 |
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