A software company used to run an algorithm sequentially on one server. As more users start using their app, the company decided to rewrite the program to be parallel. It is now run on four separate servers instead of one Thanks to the use of a parallel algorithm, the same process that used to take 40 minutes to run now only requires 20 minutes. The company is considering purchasing additional computers to decrease the time the program runs even further. Which of the following best describes the impacts of running the parallel algorithm on an even larger number of computers?

a. The algorithm will likely require more time since it is now being run sequentially on more computers.
b. The algorithm will likely require the same amount of time to run because it is processing the same amount of data
c. The algorithm will likely require less time to run though the improvements in efficiency will not be as significant as before.
d. The algorithm is unlikely to still run since parallel algorithms are not designed to scale to additional computers

Respuesta :

Answer:

a. The algorithm will likely require more time since it is now being run sequentially on more computers.

Explanation:

Algorithm is a program which is used in solving complex problems. The algorithms helps in solving complex problems. This computer software enables the users to easily solve complex problems within minutes. The algorithm enables feature which are now run on different computers sequentially.

Lanuel

The answer option which best describes the impacts of running the parallel algorithm on an even larger number of computers is: C. The algorithm will likely require less time to run though the improvements in efficiency will not be as significant as before.

An algorithm can be defined as a standard formula of procedures, which comprises a set of finite steps or executable instructions, that is typically used for proffering a solution (solving) to a problem on a computer.

In Computer programming, time complexity can be defined as a measure of the amount of time required by an algorithm to run till its completion of a specific task with respect to the length of the input.

In this scenario, adding more computers to the process would cause the algorithm to require lesser time to run till its completion of the specific task, but the algorithm's efficiency would be less significant than before because it has reached its optimal level of efficiency.

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