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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Authors
- 1. Harish Doraiswamy (Microsoft)
- 2. Jayant R. Haritsa (Indian Institute of Science)
BibTeX Citation
@inproceedings{doraiswamy_cidr26,
address = {Amsterdam, Netherlands},
series = {{CIDR} '26},
title = {{Raster is Faster: Rethinking Ray Tracing in Database Indexing}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Doraiswamy, Harish and Haritsa, Jayant R.},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
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 | 0.0019923528 |
| 3,691 | RTIndex: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing | 2023 | VLDB | 7.0909492e-05 |
| 5,619 | BinDex: A Two-Layered Index for Fast and Robust Scans | 2020 | SIGMOD | 6.0602908e-05 |
| 6,447 | RTScan: Efficient Scan with Ray Tracing Cores | 2024 | VLDB | 5.7798274e-05 |
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