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Tile-based Lightweight Integer Compression in GPU
Summary: Tile-based decompression enables single-pass decoding inline with query execution, eliminating multi-pass global-memory scans and reducing traffic. GPU bit-packing achieves nvCOMP-level compression with 2.2× faster decompression and 2.6× faster queries for analytics.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6446
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 5.7425187e-05
- Overall Rank
- 5,040 | 64.94%
- DOI
-
10.1145/3514221.3526132
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
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| 4,514 |
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2024 |
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| 4,518 |
The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code |
2023 |
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6.117844e-05 |
| 6,066 |
GPU Database Systems Characterization and Optimization |
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| 6,496 |
GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP |
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Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
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| 8,846 |
Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs |
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4.4372012e-05 |
| 9,456 |
DPDPU: Data Processing with DPUs |
2025 |
CIDR |
4.3385595e-05 |
| 9,645 |
The FastLanes File Format |
2025 |
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4.3109001e-05 |
| 9,731 |
Workload Placement on Heterogeneous CPU-GPU Systems |
2024 |
VLDB |
4.2942813e-05 |
| 9,970 |
Rethinking Analytical Processing in the GPU Era |
2026 |
CIDR |
4.1945683e-05 |
| 10,121 |
TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,281 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
4.1945683e-05 |
| 10,741 |
Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression |
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VLDB |
4.1945683e-05 |
| 10,749 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
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VLDB |
4.1945683e-05 |
| 11,224 |
Homomorphic Compression: Making Text Processing on Compression Unlimited |
2023 |
SIGMOD |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 35 |
MonetDB/X100: Hyper-Pipelining Query Execution |
2005 |
CIDR |
0.00076197749 |
| 60 |
Efficiently Compiling Efficient Query Plans for Modern Hardware |
2011 |
VLDB |
0.00064439773 |
| 131 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.0004370331 |
| 239 |
GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management |
2006 |
SIGMOD |
0.00031617428 |
| 305 |
SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units |
2009 |
VLDB |
0.00028248614 |
| 775 |
Relational Joins on Graphics Processors |
2008 |
SIGMOD |
0.00016823862 |
| 1,270 |
BitWeaving: Fast Scans for Main Memory Data Processing |
2013 |
SIGMOD |
0.00012926086 |
| 1,273 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012912938 |
| 1,287 |
Hardware-Oblivious Parallelism for In-Memory Column-Stores |
2013 |
VLDB |
0.00012820443 |
| 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 |
| 2,287 |
Pipelined Query Processing in Coprocessor Environments |
2018 |
SIGMOD |
9.0972606e-05 |
| 2,330 |
Concurrent Analytical Query Processing with GPUs |
2014 |
VLDB |
9.0192228e-05 |
| 2,390 |
ByteSlice: Pushing the Envelop of Main Memory Data Processing with a New Storage Layout |
2015 |
SIGMOD |
8.9084657e-05 |
| 2,519 |
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture |
2013 |
VLDB |
8.6078505e-05 |
| 2,862 |
An Experimental Study of Bitmap Compression vs. Inverted List Compression |
2017 |
SIGMOD |
7.9898539e-05 |
| 2,882 |
Database Compression on Graphics Processors |
2010 |
VLDB |
7.9661218e-05 |
| 3,151 |
A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs |
2017 |
SIGMOD |
7.4720668e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 3,898 |
Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment |
2021 |
VLDB |
6.6551268e-05 |
| 4,002 |
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures |
2021 |
SIGMOD |
6.545665e-05 |
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