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Data-Parallel Query Processing on Non-Uniform Data

Summary: Identifies filter divergence and expansion divergence in non-uniform data for GPU-accelerated query processing. Proposes divergence-balancing in DogQC, restoring efficiency and achieving up to 4.5x speedups on TPC-H vs GPU/CPU baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12281
Venue
VLDB
Year
2020
Pagerank
5.6347409e-05
Overall Rank
5,197 | 63.85%
DOI
10.14778/3380750.3380758

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