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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.
Performance of computer system: Computer performance is frequently described in terms of clock speed (usually in MHz or GHz). It refers to the cycles per second of the main cl
What do you mean by ‘Bresenham’s him Algorithm?
write a program insert and remove value in queue.
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Illustrates about Metal Fix. A Metal Fix implies that only the upper metal interconnects layers are influenced. Connections may be made or broken, but new cells may not be adde
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