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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.
distributed & centralized system in computer network
If the input to T-flipflop is 100 Hz signal, the final output of the three T-flipflops in cascade is ? Ans. The final output of the three T-flip-flops in cascade is 12.5 H
There are innumerable caveats to this answer, but basically any Webpage containing a form will need a CGI script or program to process the form inputs.
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