June 2019
Beginner to intermediate
360 pages
10h 55m
English
Content preview from Big Data Simplified
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218 | Big Data Simplied
8.3.2
Parallel
Package
Now that we have mastered the art of optimizing the use of RAM by utilizing the ff and ffbase
packages, we shall move on to solve the next problem. The problem is slow execution of R pri-
marily due to the fact that conventional R programming is able to use only one CPU out of the
multiple ones that most of the computers today are equipped with. The parallel package, which
comes as a part of core R installation can be used to implement parallel data processing in R.
We have to start by loading the parallel package to memory. Then it is advisable to check the
number of CPUs that the computer running the R program has.
> library(parallel)
>detectCores()
[1] 4
It is a good practice to create clusters ...
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