• Intel processors from the Celeron, Pentium, Core i3, i7, i9, and Xeon series, featuring the Sandy Bridge or newer architecture.
• Linux distribution Debian based operating system. We have tested on Ubuntu 20.04 and 22.04 Versions(recommended).
• Have R installed in your system.

If you are using Ubuntu 22.04 please run the below commands to install R.

• wget -qO- https://cloud.r-project.org/bin/linux/ubuntu/marutter_pubkey.asc | sudo gpg --dearmor -o /usr/share/keyrings/r-project.gpg
• echo "deb [signed-by=/usr/share/keyrings/r-project.gpg] https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/" | sudo tee -a /etc/apt/sources.list.d/r-project.list
• sudo apt update
• sudo apt install --no-install-recommends r-base
• sudo -i R

STEP1: Clone or download this github repository:

git clone https://github.com/rishalab/RJoules.git

STEP2: Navigate into the RJoules_main directory, copy the path of energy_measurement.R

cd RJoules/RJoules_main

pwd

For testing we have provided few test files here. Take any of the test file and update the PATH following STEP3 and run the below commands

cd RJoules/Test_files R<TESTFILENAME.R

STEP3: If you want to measure energy in your R script. Create a R script example. R and Import/source RJoules

source("PATH/energy_measurement.R")

STEP4: Write the code for which energy measurements need to be done inside a function block as below example in example.R.

test_foo<-function(){
print("This is my foo function..")
df <- data.frame("Age" = c(12, 21, 15, 5, 25), "Name" = c("Johnny", "Glen", "Alfie","Jack", "Finch"))
newdf <- df[order(df$Age), ]
print(newdf)
}

STEP5: Call measure_energy function defined in RJoules with test function name as parameter

measure_energy(test_foo)()

STEP6: Run example.R in console to get Energy measurements

R<example.R --no-save>

STEP7: Check the output in output.csv file

vi output.csv

Measuring energy consumption due to R code snippets.