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Comment: Update ml examples to reflect new CUDA module names.

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Axon uses a system of environmental modules, specifically using a piece of software called lmod, which allows people to specify the version of the program they want to run enabling . This enables the cluster to seamlessly have multiple versions of a single program. Below is an example of how it works.environment modules work:

Code Block
languagebash
themeMidnight
titlePython before and after loading a module
[aa3301@axon ~]$ python --version
Python 2.7.5
[aa3301@axon ~]$ which python
/usr/bin/python
[aa3301@axon ~]$ ml anaconda3-2019.03
[aa3301@axon ~]$ python --version
Python 3.7.3
[aa3301@axon ~]$ which python
/share/apps/anaconda3-2019.03/bin/python

In the example above when we login log in and run python Python we get the default system python, but if we run ml (which can also be run as module load) and load anaconda we get a much newer version with a bunch of modules already installed.

Running the ml (or module list) will show you the currently loaded modules, and ml av (or module avail) will show you the available modules to load:

Code Block
languagebash
themeMidnight
titleMore module commands
[aa3301@axon ~]$ ml

Currently Loaded Modules:
  1) anaconda3-2019.03



[aa3301@axon ~]$ ml av

------------------------------------------------------------------------------------------------------- /share/modulefiles/manual ----------------------------------------------------------------------------------------------------
   anaconda3-2019.03 (L)    cuda@10cuda/9.02.13088      cuda@10cuda/10.1.168 (D)    cuda@9.2.88cudnn/7.5.1-10.0    cudnn@7.3.0    cudnn@7cudnn/7.56.1.34-10.1 (D)    kilosort2       matlab/2017b    matlab/2018b (D)
   cuda/9.0.176    cudnn@7.6.1.34-10.0         cuda/10.0.130    cudnn/7.3.0          cudnn@7cudnn/7.6.1.34-10.0    gcc/4.9.1                  matlab/2017a    matlab/2018a

  Where:
   L:  Module is loaded
   D:  Default Module

Use "module spider" to find all possible modules.
Use "module keyword key1 key2 ..." to search for all possible modules matching any of the "keys".

Running the ml (or module list) will show you the currently loaded modules, and ml av (or module avail) will show you the available modules to load.The ml alias is convenient shortcut to most commands. If you type ml and press tab it will show you all the possible completion the same is true of the module load command:

Code Block
languagebash
themeMidnight
titleUse tab completion to navigate the modules
[aa3301@axon ~]$ ml
add                  cuda@10.0.130cuda/10.1.168        cudnn/7.5.1-10.0     gcc/4.9.1            load                 matlab/2018b         show                 unuse
cudnn@7.3anaconda3-2019.03    cuda/9.0.176          cudnn@7cudnn/7.6.1.34-10.10  keywordhelp              purge   matlab             save  purge                spidersl               unuse    update
avail           whatis anaconda3-2019.03    cuda@10cuda/9.12.16888          cudnn@7cudnn/7.56.1.34-10.01  keyword              matlab/2017a         restore              spider     delete          use
cuda    list             cudnn    restore            delete  show             kilosort2    swap        matlab/2017b         updaterm avail                cuda@9.2.88  swap        cudnn@7.6.1.34-10.0  help       whatis
cuda/10.0.130        cudnn/7.3.0 load         gcc        rm          list         sl        matlab/2018a         save  unload               useunload
[aa3301@axon ~]$ moduleml load cud
cuda@10.0.130
cuda                 cuda@10cuda/10.1.168        cuda@9cuda/9.2.88          cudnn@7cudnn/7.3.0          cudnn@7cudnn/7.56.1.34-10.0
cuda/10.0.130        cudnn@7.6.1.34cuda/9.0.176         cudnn                cudnn/7.5.1-10.0    cudnn@7 cudnn/7.6.1.34-10.1

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