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New hardware memory management architecture for fast neighborhood access based on graph analysis

机译:基于图形分析的快速邻居访问的新硬件内存管理体系结构

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摘要

A large number of image processing algorithms are based on neighborhood operations, meaning that several pixels must be accessed for one pixel value computation. This memory overhead is the bottleneck of many image processing systems. Some well known pipeline structures help to reduce his overhead When predictable scanning schemes are used. Unfortunately, it Truns out that they cannot cope with unpredictable image scanning Which has proved to be very efficient in the implementation of cer- Tain operators.
机译:大量图像处理算法基于邻域运算,这意味着必须为一个像素值计算访问几个像素。这种内存开销是许多图像处理系统的瓶颈。当使用可预测的扫描方案时,一些众所周知的管道结构有助于减少他的开销。不幸的是,它淘汰了它们无法应对不可预测的图像扫描,事实证明,这种扫描在实现certain操作符方面非常有效。

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