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A distributed-memory multi-thread multiprocessor architecture for computer vision and image processing: optimized version of AMP

机译：用于计算机视觉和图像处理的分布式内存多线程多处理器体系结构：AMP的优化版本

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Presents a massively parallel machine for image processing and computer vision, designed to improve the AMP (Autonomous Multiprocessor), a previously designed pure-dataflow-based multiprocessor system for image processing, and to make it faster and more efficient for image processing and computer vision tasks. In the basic design of the AMP there was room for improvement, and, therefore, the authors have recently begun to redesign an improved version of the AMP. The key point of the improvement is to increase the efficiency of execution, especially by optimizing its token matching mechanism, which is indispensable for dataflow-based processors, and the flexibility in its resource management mechanism. The authors first discuss the defects of the previous image processors, then give an overview of the original AMP design. The methodology of its optimization, and the improved system design are presented.
机译：提出了一种用于图像处理和计算机视觉的大规模并行机，旨在改善AMP（自主多处理器），AMP是一种以前设计的基于纯数据流的图像处理多处理器系统，旨在使其更快，更高效地用于图像处理和计算机视觉任务。在AMP的基本设计中，还有改进的空间，因此，作者最近开始重新设计AMP的改进版本。改进的关键是提高执行效率，特别是通过优化其令牌匹配机制（它是基于数据流的处理器必不可少的），以及其资源管理机制的灵活性。作者首先讨论了以前图像处理器的缺陷，然后概述了原始AMP设计。提出了其优化方法和改进的系统设计。

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