模式采用显式时间差分格式，通过标准的区域分割方法实现模式的并行化，并在16个节点的SP2上得到了一些初步结果。
The model employs explicit finite difference techniques in time. It was parallelized using standard domain partitioning techniques. Several results were obtained by 16 SP2 node.
图像定位的并行处理，是在图像空域上进行区域无损分割，各个处理机节点分别处理一个子区域。
The parallel processing of location of image implements area lossless segmentationin space domain of image. Each node of the processor deals with a substructure.
针对基于区域增长的图像分割方法，讨论和研究了其数据并行实现方法，证明了这种数据并行方法的正确性，并简要对算法性能进行了分析。
This paper discusses the data parallel algorithm and its implementation on region growing image segmentation, the correctness is proved, and the performance is also analyzed.
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