Final answer:
The algorithm will likely require less time to run on more computers, but at a point, the efficiency gains will diminish due to parallel processing overheads and limitations. The correct answer is option (C).
Step-by-step explanation:
The impact of running a parallel algorithm on an increased number of computers after already having seen improvements goes as follows: As computers can process tasks in parallel, adding additional computers has the potential to reduce the overall running time of a program, as long as the algorithm is efficiently parallelizable and there are enough tasks that can be done concurrently without causing a bottleneck due to inter-process communication or data dependencies. Thus, the most accurate option in this scenario is:
c. The algorithm will likely require less time to run though the improvements in efficiency will not be as significant as before.
Your understanding can be deepened by considering that in the long run, a company facing increased demand might seek to operate more efficiently. In the context of software operations, this could mean acquiring additional servers (or PCs) in order to handle larger volumes of tasks, theoretically continuing to reduce the time taken for computations. However, it's vital to recognize that there are limits to the benefits gained from parallelization, due to the aforementioned challenges and potential overheads in coordinating tasks across an increasing number of processors.