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Q. Explain Time Complexity in Parallel algorithms?
As it takes place nearly everyone who implement algorithms wish to know how much of an individual resource (for example time or storage) is needed for a given algorithm. The parallel architectures have been intended for improving computation power of several algorithms. So the main concern of evaluating an algorithm is the determination of amount of time needed to execute. Generally the time complexity is computed on the grounds of total number of steps implemented to achieve the desired output.
The Parallel algorithms generally divide the problem in more asymmetrical or symmetrical sub problems and shift them to various processors and put results back together at one end. The resource utilization in concurrent algorithms is both the communication overhead between the processors and also processor cycles on each processor.
Neural architectures are appealing as mechanisms for implementing intelligence for a number of reasons. Traditional AI programs tend to be brittle and overly sensitive to noise
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DEFINE FILE ORGANISATION
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Expain the working of associative memory
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