Big data

Xiomara is a researcher studying the effect of carbon emissions from airplanes on global warming. She collects millions of data points tracking the path of airplanes and develops a program that analyzes the data.

When she runs the program on a single company's airplanes, it takes an hour to complete, so she becomes concerned that it will take much too long to run on all of the airplane data.

Her friend Dacari suggests using parallel computing to speed up the analysis of the airplane emission data.

How would parallel computing speed up the analysis?

(Choice A)
Parallel computing can distribute the work to multiple machines, so that each machine has more memory available for faster processing.
(Choice B)
Parallel computing can run the program in parallel on subsets of the data, so that the total amount of time is less.
(Choice C)
Parallel computing will crowdsource the running of the program to volunteers on the Internet, utilizing the power of their machines instead.
(Choice D)
Parallel computing will use a heuristic-based algorithm to compute the answer in less time.

AP®︎/College Computer Science Principles

Course: AP®︎/College Computer Science Principles > Unit 5

Problem