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?
a)Parallel computing can run the program in parallel on subsets of the data, so that the total amount of time is less.
b)Parallel computing will used a heuristic-based algorithm to computer the answer in less time.
c)Parallel computing can distribute the work to multiple machines, making the processing faster.
d)Parallel computing will crowdsource the running of the program to users of the Internet, using their machines instead.
a)Parallel computing can run the program in parallel on subsets of the data, so that the total amount of time is less.
Explanation:
Parallel computing is a type of computation that can perform lots of calculations quickly because they are done simultaneously. Big problems can be broken down, to help them to be solved quicker.
Therefore, from the question, Xiomara's program takes a long time to run and her friend suggests she use parallel computing to speed things up.
Parallel computing could speed up the analysis by running the program in parallel on subsets of the data, so that the total amount of time is less.
