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Vector Processing with Pipelining
Because in vector processing vector instructions execute the similar computation on various data operands repeatedly, vector processing is the most appropriate for pipelining. Vector processors with pipelines are intended to handle vectors of varying length 'n' where n is length of vector. A vector processor executes better if length of vector is larger however large values of n cause the problem in storage of vectors in addition there is complexity in moving the vectors from and to the pipelines.
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How many 32K X 1 RAM chips are needed to provide a memory capacity 256 kilobytes?
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