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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
- 572
- Venue
- CIDR
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 9,969 | 30.72%
- DOI
-
-
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
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 |
| 185 |
DuckDB: an Embeddable Analytical Database |
2019 |
SIGMOD |
0.00036529607 |
| 729 |
Umbra: A Disk-Based System with In-Memory Performance |
2020 |
CIDR |
0.00017448059 |
| 2,533 |
Velox: Meta’s Unified Execution Engine |
2022 |
VLDB |
8.5870599e-05 |
| 2,659 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3615158e-05 |
| 4,241 |
The Composable Data Management System Manifesto |
2023 |
VLDB |
6.3258298e-05 |
| 4,498 |
ClickHouse - Lightning Fast Analytics for Everyone |
2024 |
VLDB |
6.1351257e-05 |
| 5,018 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7503878e-05 |
| 5,039 |
Tile-based Lightweight Integer Compression in GPU |
2022 |
SIGMOD |
5.7369993e-05 |
| 5,772 |
Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries |
2024 |
CIDR |
5.3313794e-05 |
| 6,451 |
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics |
2025 |
VLDB |
5.0522576e-05 |
| 6,492 |
GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP |
2024 |
SIGMOD |
5.0364695e-05 |
| 7,752 |
Efficiently Processing Joins and Grouped Aggregations on GPUs |
2025 |
SIGMOD |
4.6558737e-05 |
| 8,123 |
Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems |
2025 |
SIGMOD |
4.5770901e-05 |
| 8,777 |
Accelerate Distributed Joins with Predicate Transfer |
2025 |
SIGMOD |
4.4492064e-05 |
| 8,846 |
Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs |
2024 |
VLDB |
4.432948e-05 |
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| 4,359 |
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CIDR |
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| 10,253 |
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VLDB |
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| 2,336 |
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VLDB |
9.0106308e-05 |