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L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression

Summary: L3 co-designs a GPU-native learned lossless codec around SLAP’s lane-major residual layout, warp-cooperative decoding, and fully on-device compression. It delivers TB/s decompression, 1.2–2.6B random accesses/s, and strong compression, outperforming GPU baselines. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
h46702fa9888c9746
Venue
SIGMOD
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,473 | 29.59%
DOI
10.1145/3802078

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Authors

BibTeX Citation

@inproceedings{xia_sigmod26,
        title = {{L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression}},
        author = {Xia, Youyang and Zhang, Feng and Pan, Junda and Liu, Yihao and Guan, Jiawei and Zhang, Huanchen and Du, Xiaoyong},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802078},
        url = {https://dl.acm.org/doi/10.1145/3802078},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 cited papers.

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

Rank Cited Paper Year Venue Pagerank
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
61 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.000392237
430 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018409112
463 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017804544
771 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00014085862
856 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00013428547
1,268 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.0001126007
1,533 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010332035
1,541 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.00010313459
2,185 Database Compression on Graphics Processors 2010 VLDB 8.8948351e-05
2,284 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.6954168e-05
3,140 DeepSqueeze: Deep Semantic Compression for Tabular Data 2020 SIGMOD 7.6023603e-05
3,181 The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code 2023 VLDB 7.5625307e-05
3,207 Why You Should Run TPC-DS:A Workload Analysis 2007 VLDB 7.5387953e-05
3,655 Tile-based Lightweight Integer Compression in GPU 2022 SIGMOD 7.1260841e-05
3,803 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0127652e-05
4,153 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.776246e-05
4,260 Query Optimization in Oracle 12c Database In-Memory 2015 VLDB 6.6992663e-05
4,405 Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights 2018 VLDB 6.6128353e-05
5,397 Order-Preserving Key Compression for In-Memory Search Trees 2020 SIGMOD 6.1490013e-05
5,446 Crystal: A Unified Cache Storage System for Analytical Databases 2021 VLDB 6.1266228e-05
5,471 Good to the Last Bit: Data-Driven Encoding with CodecDB 2021 SIGMOD 6.1181669e-05
6,417 MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model 2020 VLDB 5.791405e-05
6,737 CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases 2022 SIGMOD 5.6925989e-05
8,033 FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data 2024 VLDB 5.4034154e-05
8,569 The FastLanes File Format 2025 VLDB 5.3132501e-05
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