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SIMD processor arrays for image and video processing: a review

机译:用于图像和视频处理的SIMD处理器阵列:综述

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Abstract: SIMD processor arrays are becoming popular for their fast parallel executions of low- to medium-complexity image and video processing algorithms, and most stages of the compression standards. In many existing techniques, visual data processing algorithms and compression standards possess a high degree of parallelism. In particular, the processing of a certain pixel/block does not generally require data from a distant pixel/block, and the instructions for processing these pixels/blocks are usually identical. Thus, these algorithms map naturally onto the architecture of the SIMD processor arrays. In this paper, the architectures of the recently SIMD processor arrays will be reviewed together with algorithms demonstrating their superior features. Due to the length of the paper, only processor arrays implemented at the chip-level are discussed, especially those whose logic circuits are merged/embedded in the SRAM or DRAM memory process. While some processor arrays are designed by embedding the memory modules onto the existing processors, a significant number of processor arrays are realized by integrating logic circuits onto existing RAM to save the inherently large memory bandwidth, and thus achieving a performance in the order of Tera instructions per second. !15
机译:摘要:SIMD处理器阵列因其对中低复杂度的图像和视频处理算法以及大多数压缩标准阶段的快速并行执行而变得流行。在许多现有技术中,视觉数据处理算法和压缩标准具有高度的并行性。特别地,对特定像素/块的处理通常不需要来自遥远像素/块的数据,并且用于处理这些像素/块的指令通常是相同的。因此,这些算法自然地映射到SIMD处理器阵列的体系结构上。在本文中,将对最近SIMD处理器阵列的体系结构以及展示其卓越功能的算法进行综述。由于论文的篇幅,仅讨论在芯片级实现的处理器阵列,尤其是那些逻辑电路在SRAM或DRAM存储过程中合并/嵌入的处理器阵列。虽然某些处理器阵列是通过将内存模块嵌入到现有处理器中来设计的,但是通过将逻辑电路集成到现有RAM中以节省固有的大内存带宽,从而实现了Tera指令的性能,可以实现大量处理器阵列。每秒。 !15

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