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Computer memory systems are increasingly a bottleneck limiting application performance. Processor-In-Memory (PIM) architectures, which capitalize on merging the processing unit with its memory unit on the same chip, promise to remove this limitation by providing a tremendous increase in available memory bandwidth and significant reduction in memory latency for a specific class of computing that deals with significant amount of data with relatively simple operations. Many image processing and pattern recognition applications fall into this category. In this paper, some key characteristics with design philosophy of an intelligent co-operative PIM architecture (CIM) are discussed, and examples of image analysis algorithm that can run on it are given.
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