This paper proposes a novel parallel algorithm for template matching of image division block based on a K-ary 2-cube network SIMD computer.

该文提出了一种新颖的在基于K元2 -立方体网络的SIMD计算机上运行的图像分块模板匹配并行算法。

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This is mainly because the flexibility of the data access in multimedia processing and the high dependence of the SIMD technology upon the algorithm regularity.

这主要是由多媒体处理的数据访问的灵活性和SIMD技术对算法的规整性的高度依赖性所导致。

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As the skin deformation cost largely of computing, a accelerate algorithm is presented which is applicable to GPU with SIMD architectures.

针对皮肤变形算法运算量大的特点，提出一种适用于SIMD架构GPU的加速算法。

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