C-5.16 In the Towers of Hanoi puzzle, we are given a platform with three pegs, a, b, and c, sticking out of it. On peg a is a stack of n disks, each larger than the next, so that the smallest is on the top and the largest is on the bottom. The puzzle is to move all the disks from peg a to peg c, moving one disk at a time, so that we never place a larger disk on top of a smaller one. See Figure 5.15 for an example of the case n = 4. Describe a recursive algorithm for solving the Towers of Hanoi puzzle for arbitrary n. (Hint: Consider first the subproblem of moving all but the nth disk from peg a to another peg using the third as "temporary storage.") Hay Figure 5.15: An illustration of the Towers of Hanoi puzzle.

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Parallel processing

The process of running two or more processors together is known as parallel processing. In parallel processing, a single process is divided into multiple parts, and each individual part is executed at the same time. It is used to handle various parts of a task at the same time. The main advantage of parallel processing is the reduction of the processing time of the program, where the processor in a system is the CPU. Hence, parallel processing can be performed by using multiple CPUs, and having more than one CPU creates a multi-processor. Another name of parallel processors is block processors. Here, the size of a block is the number of inputs that can be processed simultaneously in a single clock cycle.