Kumar Vijay S, Rutt Benjamin, Kurc Tahsin, Catalyurek Umit V, Pan Tony C, Chow Sunny, Lamont Stephan, Martone Maryann, Saltz Joel H
Department of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA.
IEEE Trans Inf Technol Biomed. 2008 Mar;12(2):154-61. doi: 10.1109/TITB.2007.908466.
This paper presents the application of a component-based Grid middleware system for processing extremely large images obtained from digital microscopy devices. We have developed parallel, out-of-core techniques for different classes of data processing operations employed on images from confocal microscopy scanners. These techniques are combined into a data preprocessing and analysis pipeline using the component-based middleware system. The experimental results show that: 1) our implementation achieves good performance and can handle very large datasets on high-performance Grid nodes, consisting of computation and/or storage clusters and 2) it can take advantage of Grid nodes connected over high-bandwidth wide-area networks by combining task and data parallelism.
本文介绍了一种基于组件的网格中间件系统在处理从数字显微镜设备获取的超大图像方面的应用。我们针对共聚焦显微镜扫描仪图像上使用的不同类型的数据处理操作，开发了并行的核外技术。这些技术通过基于组件的中间件系统被组合到一个数据预处理和分析管道中。实验结果表明：1）我们的实现取得了良好的性能，并且能够在由计算和/或存储集群组成的高性能网格节点上处理非常大的数据集；2）通过结合任务并行和数据并行，它能够利用通过高带宽广域网连接的网格节点。
