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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
10577
Venue
VLDB
Year
2012
Pagerank
5.4082911e-05
Overall Rank
8,580 | 41.14%
DOI
10.14778/2350229.2350280

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb12,
        title = {{Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems}},
        author = {Wang, Kaibo and Huai, Yin and Lee, Rubao and Wang, Fusheng and Zhang, Xiaodong and Saltz, Joel H.},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1543--1554},
        doi = {10.14778/2350229.2350280},
        url = {https://doi.org/10.14778/2350229.2350280},
        year = {2012}
}

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