Rethinking Analytical Processing in the GPU Era

Summary: Sirius: a GPU-native SQL engine that makes the GPU the primary executor, leveraging libcudf and modern libraries for high-performance relational operators. Via Substrait it provides drop-in acceleration for existing DBs (DuckDB, Doris), achieving up to 12.5× speedup and ≈8× cost-efficiency. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 571
Venue: CIDR
Year: 2026
Pagerank: 5.093636e-05
Overall Rank: 10,118 | 30.59%
DOI: -

Incoming Non-self Citations Over Time

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

Authors

1. Bobbi Yogatama (NVIDIA)
2. Yifei Yang (University of Wisconsin)
3. Kevin Kristensen (University of Wisconsin)
4. Devesh Sarda (University of Wisconsin)
5. Abigale Kim (University of Wisconsin)
6. Adrian Cockcroft (OrionX)
7. Yu Teng (NVIDIA)
8. Joshua Patterson (NVIDIA)
9. Gregory Kimball (NVIDIA)
10. Wes McKinney (Posit Public Benefit Corporation)
11. Weiwei Gong (Oracle)
12. Xiangyao Yu (University of Wisconsin)

BibTeX Citation

@inproceedings{yogatama_cidr26,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '26},
        title = {{Rethinking Analytical Processing in the GPU Era}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Yogatama, Bobbi and Yang, Yifei and Kristensen, Kevin and Sarda, Devesh and Kim, Abigale and Cockcroft, Adrian and Teng, Yu and Patterson, Joshua and Kimball, Gregory and McKinney, Wes and Gong, Weiwei and Yu, Xiangyao},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,070	Disaggregation: A New Architecture for Cloud Databases	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
103	DuckDB: an Embeddable Analytical Database	2019	SIGMOD	0.00034161428
422	Umbra: A Disk-Based System with In-Memory Performance	2020	CIDR	0.00018732744
1,757	Velox: Meta's Unified Execution Engine	2022	VLDB	9.8166984e-05
1,977	HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines	2019	VLDB	9.3641101e-05
3,582	The Composable Data Management System Manifesto	2023	VLDB	7.2869486e-05
3,653	ClickHouse - Lightning Fast Analytics for Everyone	2024	VLDB	7.2241143e-05
4,144	Tile-based Lightweight Integer Compression in GPU	2022	SIGMOD	6.8744592e-05
4,243	Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS	2022	VLDB	6.8073248e-05
4,553	Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries	2024	CIDR	6.6346951e-05
5,778	GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP	2024	SIGMOD	6.0918646e-05
6,065	Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics	2025	VLDB	5.9895288e-05
7,591	Efficiently Processing Joins and Grouped Aggregations on GPUs	2025	SIGMOD	5.5900315e-05
8,053	Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems	2025	SIGMOD	5.4990605e-05
8,721	Accelerate Distributed Joins with Predicate Transfer	2025	SIGMOD	5.3772617e-05
8,808	Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs	2024	VLDB	5.3661351e-05

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