Back to papers
GPU Acceleration of SQL Analytics on Compressed Data
Summary: Execute SQL directly on compressed columns (RLE, index, bit‑width, dictionary), including multi‑RLE and mixed‑encoding operators to avoid decompression. Built on portable PyTorch tensor primitives to stay in GPU HBM and show ~10× speedups vs CPU-only analytics on production data that wouldn’t fit uncompressed on GPU.
(summarized by gpt-5-mini on Mar 13 2026)
- Paper ID
- 14321
- Venue
- VLDB
- Year
- 2026
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,281 | 28.48%
- DOI
-
10.14778/3778092.3778095
Incoming Non-self Citations Over Time
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 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 131 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.0004370331 |
| 1,273 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012912938 |
| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-05 |
| 2,067 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
9.6392739e-05 |
| 2,651 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3694317e-05 |
| 2,882 |
Database Compression on Graphics Processors |
2010 |
VLDB |
7.9661218e-05 |
| 3,254 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
7.3161051e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 3,644 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
6.8854928e-05 |
| 3,898 |
Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment |
2021 |
VLDB |
6.6551268e-05 |
| 4,518 |
The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code |
2023 |
VLDB |
6.117844e-05 |
| 5,019 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7559197e-05 |
| 5,040 |
Tile-based Lightweight Integer Compression in GPU |
2022 |
SIGMOD |
5.7425187e-05 |
| 5,088 |
TCUDB: Accelerating Database with Tensor Processors |
2022 |
SIGMOD |
5.7072189e-05 |
| 5,670 |
Joins on Encoded and Partitioned Data |
2014 |
VLDB |
5.3804618e-05 |
| 6,066 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
5.2290447e-05 |
| 6,327 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
5.1083405e-05 |
| 6,367 |
Good to the Last Bit: Data-Driven Encoding with CodecDB |
2021 |
SIGMOD |
5.0941072e-05 |
| 6,453 |
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics |
2025 |
VLDB |
5.0571108e-05 |
| 7,155 |
Evaluating Multi-GPU Sorting with Modern Interconnects |
2022 |
SIGMOD |
4.8149812e-05 |
| 7,335 |
MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model |
2020 |
VLDB |
4.7603723e-05 |
| 7,751 |
Efficiently Processing Joins and Grouped Aggregations on GPUs |
2025 |
SIGMOD |
4.6603427e-05 |
| 7,916 |
Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
VLDB |
4.6173899e-05 |
| 8,846 |
Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs |
2024 |
VLDB |
4.4372012e-05 |
| 9,204 |
Themis: A GPU-accelerated Relational Query Execution Engine |
2025 |
VLDB |
4.3737475e-05 |
| 9,695 |
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem |
2022 |
VLDB |
4.3025567e-05 |
| 10,749 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
4.1945683e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 2,330 |
Concurrent Analytical Query Processing with GPUs |
2014 |
VLDB |
9.0192228e-05 |
| 6,985 |
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression |
2023 |
SIGMOD |
4.8729387e-05 |
| 7,916 |
Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
VLDB |
4.6173899e-05 |
| 3,254 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
7.3161051e-05 |
| 2,067 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
9.6392739e-05 |
| 1,100 |
Query Optimization In Compressed Database Systems |
2001 |
SIGMOD |
0.00014072277 |
| 10,253 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
4.1945683e-05 |
| 10,749 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
4.1945683e-05 |
| 2,882 |
Database Compression on Graphics Processors |
2010 |
VLDB |
7.9661218e-05 |
| 5,040 |
Tile-based Lightweight Integer Compression in GPU |
2022 |
SIGMOD |
5.7425187e-05 |