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: hcc1c061cdd9a00a5
Venue: VLDB
Year: 2012
Pagerank: 5.3016441e-05
Overall Rank: 8,619 | 42.06%
DOI: 10.14778/2350229.2350280

Incoming Non-self Citations Over Time

Authors

1. Kaibo Wang (Ohio State University)
2. Yin Huai (Ohio State University)
3. Rubao Lee (Ohio State University)
4. Fusheng Wang (Emory University)
5. Xiaodong Zhang (Ohio State University)
6. Joel H. Saltz (Emory University)

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
771	The Yin and Yang of Processing Data Warehousing Queries on GPU Devices	2013	VLDB	0.00014085862
1,080	Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce	2013	VLDB	0.00012131978
1,541	HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics	2016	VLDB	0.00010313459
2,202	Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores	2015	VLDB	8.8719608e-05
2,466	Concurrent Analytical Query Processing with GPUs	2014	VLDB	8.4222621e-05
4,137	The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product	2021	VLDB	6.7861661e-05
10,906	RayBooster: A Ray Tracing Engine to Accelerate SedonaDB	2026	VLDB	4.9793485e-05
11,560	X-TED: Massive Parallelization of Tree Edit Distance	2024	VLDB	4.9793485e-05
11,650	High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now	2024	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
282	FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs	2010	SIGMOD	0.00022264207
304	GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management	2006	SIGMOD	0.00021604795
335	Hilbert R-tree: An Improved R-tree Using Fractals	1994	VLDB	0.00020660268
389	QPipe: A Simultaneously Pipelined Relational Query Engine	2005	SIGMOD	0.00019269777
616	Relational Joins on Graphics Processors	2008	SIGMOD	0.00015561564
1,454	Fast Computation of Database Operations using Graphics Processors	2004	SIGMOD	0.00010601431
1,546	Building a Scalable Geo-Spatial DBMS: Technology, Implementation, and Evaluation	1997	SIGMOD	0.00010294163
1,671	Efficient Parallel Lists Intersection and Index Compression Algorithms using Graphics Processing Units	2011	VLDB	9.9310625e-05
1,863	The Researcher's Guide to the Data Deluge: Querying a Scientific Database in Just a Few Seconds	2011	VLDB	9.4846052e-05
2,319	Hardware Acceleration for Spatial Selections and Joins	2003	SIGMOD	8.6460188e-05
2,889	High-Throughput Transaction Executions on Graphics Processors	2011	VLDB	7.9070124e-05

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