RayDB: Building Databases with Ray Tracing Cores

Summary: RayDB is the first query engine to exploit GPU ray-tracing cores, fusing multi-operator execution into a single ray-tracing job. Specialized encodings and ray-launch techniques support diverse workloads, delivering up to 18.3× speedup over state-of-the-art GPU engines. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 14531
Venue: VLDB
Year: 2026
Pagerank: 5.093636e-05
Overall Rank: 10,588 | 27.36%
DOI: 10.14778/3772181.3772185

Incoming Non-self Citations Over Time

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

Authors

1. Xuri Shi (Fudan University)
2. Kai Zhang (Fudan University)
3. X. Sean Wang (Fudan University)
4. Xiaodong Zhang (Ohio State University)
5. Rubao Lee (Independent)

BibTeX Citation

@article{shi_vldb26,
        title = {{RayDB: Building Databases with Ray Tracing Cores}},
        author = {Shi, Xuri and Zhang, Kai and Wang, X. Sean and Zhang, Xiaodong and Lee, Rubao},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {1},
        pages = {43--55},
        doi = {10.14778/3772181.3772185},
        url = {https://doi.org/10.14778/3772181.3772185},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
823	The Yin and Yang of Processing Data Warehousing Queries on GPU Devices	2013	VLDB	0.00013792901
1,466	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD	0.0001068941
1,574	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD	0.00010321274
1,666	HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics	2016	VLDB	0.00010068964
2,504	Concurrent Analytical Query Processing with GPUs	2014	VLDB	8.4963369e-05
2,823	Query Processing on Tensor Computation Runtimes	2022	VLDB	8.0893814e-05
3,060	SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures	2016	SIGMOD	7.8062155e-05
4,089	TCUDB: Accelerating Database with Tensor Processors	2022	SIGMOD	6.9096857e-05
4,603	The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product	2021	VLDB	6.6105578e-05
5,053	RTIndex: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing	2023	VLDB	6.3844953e-05
5,512	BinDex: A Two-Layered Index for Fast and Robust Scans	2020	SIGMOD	6.1913331e-05
7,412	RTScan: Efficient Scan with Ray Tracing Cores	2024	VLDB	5.624223e-05

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#	Overall Rank	Paper	Year	Venue
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3	7,113	GPUQP: Query Co-Processing Using Graphics Processors	2007	SIGMOD
4	3,791	Hardware-conscious Query Processing in GPU-accelerated Analytical Engines	2019	CIDR
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7	10,252	GraphRTX: Lighting the Way to Scalable Graph Analytics	2026	SIGMOD
8	10,124	Raster is Faster: Rethinking Ray Tracing in Database Indexing	2026	CIDR
9	5,053	RTIndex: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing	2023	VLDB
10	7,412	RTScan: Efficient Scan with Ray Tracing Cores	2024	VLDB