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Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems

Summary: GPU-accelerated cross-comparison of pathology image regions on CPU-GPU hybrids, using a customized GPU kernel and a pipelined framework with task migration for spatial operations. Real-world datasets show ~18× speedup over parallelized spatial DB approaches, enabling cost-efficient high-throughput analysis. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10389
Venue
VLDB
Year
2012
Pagerank
4.5377018e-05
Overall Rank
8,356 | 41.87%
DOI
-

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