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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.
Prolog: Still we can take our card game from the previous lecture like a case study for the implementation of a logic-based expert system. So there the rules were: four cards
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Determine the begin - end keywords Group several statements together. Cause the statements to be evaluated sequentially (one at a time) -> Any timing within sequential group
what is dbms goal?
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