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)
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 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 823 | The Yin and Yang of Processing Data Warehousing Queries on GPU Devices | 2013 | VLDB | 0.00013792901 |
| 1,067 | Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce | 2013 | VLDB | 0.00012327784 |
| 1,666 | HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics | 2016 | VLDB | 0.00010068964 |
| 2,498 | Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores | 2015 | VLDB | 8.5016595e-05 |
| 2,504 | Concurrent Analytical Query Processing with GPUs | 2014 | VLDB | 8.4963369e-05 |
| 4,603 | The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product | 2021 | VLDB | 6.6105578e-05 |
| 11,224 | X-TED: Massive Parallelization of Tree Edit Distance | 2024 | VLDB | 5.093636e-05 |
| 11,332 | High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now | 2024 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,629 | A GPU-friendly Geometric Data Model and Algebra for Spatial Queries | 2020 | SIGMOD |
| 2 | 2,504 | Concurrent Analytical Query Processing with GPUs | 2014 | VLDB |
| 3 | 3,178 | Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS | 2013 | VLDB |
| 4 | 13,527 | iSPEED: a Scalable and Distributed In-Memory Based Spatial Query System for Large and Structurally Complex 3D Data | 2018 | VLDB |
| 5 | 1,466 | A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics | 2020 | SIGMOD |
| 6 | 5,422 | GPU Database Systems Characterization and Optimization | 2024 | VLDB |
| 7 | 10,985 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB |
| 8 | 2,283 | Hardware Acceleration for Spatial Selections and Joins | 2003 | SIGMOD |
| 9 | 1,452 | Fast Computation of Database Operations using Graphics Processors | 2004 | SIGMOD |
| 10 | 2,741 | Hardware Acceleration in Commercial Databases: A Case Study of Spatial Operations | 2004 | VLDB |