Use the tarball with exercises

Goal

You can run the example files needed for the exercises

A tarball is a file that contains multiple files, similar to a zip file. To use the files it contains, it needs to be untarred/unzipped/uncompressed first.

Procedure

Prefer a video?

See this YouTube video.

The procedure has these steps:

• Get the tarball

• Uncompress the tarball

Step 1: get the tarball

• In a terminal, cd to a good directory to keep the exercises (for instance in your just created folder in the project directory)

• You may create a new folder (mkdir), called exercises or similar).

• Use the following command to download the file to your current folder:

RMatlab (wait until that day)Julia (wait until that day)

wget https://github.com/UPPMAX/R-matlab-julia-HPC/raw/refs/heads/main/exercises/exercisesR.tar.gz

How does that look like?

Your output will look somewhat like this:

[sven@rackham3 ~]$ wget https://github.com/UPPMAX/R-matlab-julia-HPC/raw/refs/heads/main/exercises/exercisesR.tar.gz
--2024-10-23 11:49:30--  https://github.com/UPPMAX/R-matlab-julia-HPC/raw/refs/heads/main/exercises/exercisesR.tar.gz
Resolving github.com (github.com)... 4.225.11.194
Connecting to github.com (github.com)|4.225.11.194|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: https://raw.githubusercontent.com/UPPMAX/R-matlab-julia-HPC/refs/heads/main/exercises/exercisesR.tar.gz [following]
--2024-10-23 11:49:30--  [URL]
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.108.133, 185.199.109.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 56007 (55K) [application/octet-stream]
Saving to: ‘exercisesR.tar.gz’

100%[======================================>] 56,007      --.-K/s   in 0.002s

2024-10-23 11:49:30 (31.4 MB/s) - ‘exercisesR.tar.gz’ saved [56007/56007]

Step 2: Uncompress the tarball

In a terminal, use the following command to uncompress the file:

RMatlab (wait until that day)Julia (wait until that day)

tar -xvzf exercisesR.tar.gz

How does that look like?

Your output will look similar to this:

RMatlabJulia

[sven@rackham3 ~]$ tar -xvzf exercisesR.tar.gz
r/iris_ml-rackham.sh
r/Rscript_ML-kebnekaise.sh
r/hello.R
r/script-df.R
r/add2-cosmos.sh
r/Rscript_ML-cosmos.sh
r/script-df-rackham.sh
r/serial-rackham.sh
r/iris.csv
r/Rmpi-cosmos.sh
r/validation-cosmos.sh
r/validation-rackham.sh
r/parallel_foreach.R
r/serial_sum.R
r/iris_ml.R
r/serial.R
r/serial-cosmos.sh
r/parallel_foreach-cosmos.sh
r/clusterapply.R
r/parallel_foreach-kebnekaise.sh
r/add2-kebnekaise.sh
r/validation-kebnekaise.sh
r/README.md
r/Rmpi.R
r/Rmpi-kebnekaise.sh
r/serial-kebnekaise.sh
r/Rscript_ML-rackham.sh
r/parallel_foreach-rackham.sh
r/script-df-kebnekaise.sh
r/add2.R
r/Rscript.R
r/add2-rackham.sh
r/sleep.R
r/script-df-fixme.R
r/Rmpi-rackham.sh
r/iris_ml-kebnekaise.sh
r/iris_ml-cosmos.sh
r/validation.R
r/script-df-cosmos.sh

After decompressing, there is a folder called r, or matlab or julia that contains the exercises.

Warning

Do you want the whole repo?

• If you are happy with just the exercises, the tarballs of the language specific ones are enough.

• By cloning the whole repo, you get all the materials, planning documents, and exercises.

• If you think this makes sense type this in the command line in the directory you want it. - git clone https://github.com/UPPMAX/R-matlab-julia-HPC.git

• Note however, that if you during exercise work modify files, they will be overwritten if you make git pull (like if the teacher needs to modify something).

  • Then make a copy somewhere else with your answers!