用于高效查询的超大显微镜图像分布式核外预处理

2005 IEEE International Conference on Cluster Computing Pub Date : 2005-09-27 DOI:10.1109/CLUSTR.2005.347054

B. Rutt, Vijay S. Kumar, T. Pan, T. Kurç, Ümit V. Çatalyürek, J. Saltz, Yujun Wang

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引用次数: 7

摘要

我们提出了一种任务并行和数据并行的方法，用于分布式执行预处理操作，以支持对数字化显微镜图像的多边形聚合查询的有效评估。我们的方法目标是在活动存储集群上对非常大的图像进行核外的流水线处理。实验结果表明，该方法在处理器数量和图像大小方面都具有可扩展性

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Distributed Out-of-Core Preprocessing of Very Large Microscopy Images for Efficient Querying

We present a combined task- and data-parallel approach for distributed execution of pre-processing operations to support efficient evaluation of polygonal aggregation queries on digitized microscopy images. Our approach targets out-of-core, pipelined processing of very large images on active storage clusters. Our experimental results show that the proposed approach is scalable both in terms of number of processors and the size of images

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2005 IEEE International Conference on Cluster Computing

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