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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.
Introduction Our research methodology requires gathering relevant data from the specified documents in order to analyze the material and arrive at more complete understanding
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A COCOMO model is :- COCOMO:- Constructive Cost Estimation Model.
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Efficiency of Vector Processing over Scalar Processing As we know a serial computer processes single scalar operands at a time. So if we have to process a vector of length 'n'
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