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?

This part of this YouTube video shows you this procedure.

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

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

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

tar -xvzf exercisesMatlab.tar.gz

tar -xvzf exercisesJulia.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

[sven@rackham3 ~]$ tar -xvzf exercisesMatlab.tar.gz
matlab/
matlab/parallel_example.m
matlab/example-parallel-matlab.sh
matlab/serial-monte-rackham.sh
matlab/parallel_example-rackham.sh
matlab/serial-monte-kebnekaise.sh
matlab/parallel_example-kebnekaise.sh
matlab/mmult.m
matlab/parfeval_mean.m
matlab/monte_carlo_pi.m
matlab/parallel_example-cosmos.sh
matlab/parfor-greet.m
matlab/MorePractice.rst
matlab/add2.m
matlab/serial-monte-cosmos.sh
matlab/dice_stats_par.m

[sven@rackham3 ~]$ tar -xvzf exercisesJulia.tar.gz
julia/
julia/script-df-rackham.sh
julia/parallelJulia/
julia/parallelJulia/solution/
julia/parallelJulia/solution/script-df-sol.jl
julia/parallelJulia/script-df.jl
julia/parallelJulia/runHPC2N.sh
julia/parallelJulia/runUPPMAX.sh
julia/parallelJulia/1.md
julia/script-df.jl
julia/batchJulia/
julia/batchJulia/3.md
julia/batchJulia/2.md
julia/batchJulia/3.uppmax-batch-script.sh
julia/batchJulia/serial-sum.jl
julia/batchJulia/3.kebnekaise-batch-script.sh
julia/batchJulia/script-gpu.jl
julia/batchJulia/Solutions/
julia/batchJulia/Solutions/2/
julia/batchJulia/Solutions/2/Kebnekaise.md
julia/batchJulia/Solutions/2/Rackham.sh
julia/batchJulia/Solutions/3/
julia/batchJulia/Solutions/3/3.kebnekaise-batch-script.sh
julia/batchJulia/Solutions/3/Solution.md
julia/batchJulia/Solutions/1/
julia/batchJulia/Solutions/1/Rackham.md
julia/batchJulia/Solutions/1/Kebnekaise.md
julia/batchJulia/1.md
julia/README.md
julia/sleep-threads.jl
julia/script-df-kebnekaise.sh
julia/script-df-fixme.jl
julia/isolatedJulia/
julia/isolatedJulia/2.md
julia/isolatedJulia/Solutions/
julia/isolatedJulia/Solutions/2/
julia/isolatedJulia/Solutions/2/Solution.md
julia/isolatedJulia/Solutions/1/
julia/isolatedJulia/Solutions/1/Solution.md
julia/isolatedJulia/1.md
julia/loadRun/
julia/loadRun/2.md
julia/loadRun/serial-sum.jl
julia/loadRun/Solutions/
julia/loadRun/Solutions/2/
julia/loadRun/Solutions/2/Rackham.md
julia/loadRun/Solutions/2/Kebnekaise.md
julia/loadRun/Solutions/1/
julia/loadRun/Solutions/1/Solution.md
julia/loadRun/1.md

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

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). If this is the case, then make a copy somewhere else with your answers!