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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.
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What are the steps in multiplication algorithm? Check for zeros. Multiply mantissas Add the exponents. Normalize the product.
Q. Explain logical shift Micro-operations? In logical shift data entering by serial input to left most or right most flip-flop (which depends on right or left shift operations
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