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Efficient Top-K Query Processing on Massively Parallel Hardware

Summary: GPU-based top-k algorithms for massively parallel data analytics, including a novel bitonic top-k with up to 15x speedups over sort for k ≤ 256. A cost model predicts relative performance across algorithms and matches measurements on modern GPUs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5455
Venue
SIGMOD
Year
2018
Pagerank
4.7134746e-05
Overall Rank
7,551 | 47.47%
DOI
10.1145/3183713.3183735

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