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Q. Evaluate Total expense of algorithm?
Lastly, the total expense of algorithm is a product of the total number of processors required for computation and time complexity of the parallel algorithm.
Cost = Time Complexity * Total Number of Processors
The other form of defining cost is that this specifies total number of steps performed together by n number of processors; it implies that summation of steps. Another term associated with the analysis of parallel algorithms is effectiveness of the algorithm. It is explained as the ratio of worst case running time of the best sequential algorithm and the cost of the parallel algorithm. The effectiveness would be mostly equal to or less than 1. In a condition, if efficiency is greater than 1 then it means that sequential algorithm is more rapid than parallel algorithm.
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