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Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors

Summary: GPU-accelerated, deterministic stream mining of quantiles and frequencies via rasterized sorting for histogram-based epsilon-approx summaries. Co-processor GPU with minimal CPU-GPU data transfer on commodity hardware; supports fixed/variable sliding windows and large streams (>100M values), beating CPU baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3670
Venue
SIGMOD
Year
2005
Pagerank
5.4970777e-05
Overall Rank
5,457 | 62.04%
DOI
-

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