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The first part "Julia MyKernel" is what you want to call your kernel, so feel free to change this. Installkernel("Julia MyKernel", env=Dict("JULIA_LOAD_PATH"=>ENV)) You can also run this if you are missing a Julia Kernel. Note: If you are using Jupyter there is an additional step you can optionally do so that Jupyter can find both our installed packages and your own. Once you are done it is good practice to delete these temporary files.

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Once you have done this you can start up Julia and install packages as you normally would. You can create the new temporary directory and set the environment variable like this:Įxport TMPDIR=/state/partition1/user/$USER You can try changing the temporary directory that Julia uses to unpackage its packages for installation by setting the $TMPDIR environment variable. The errors for this can be vague and differ between the different Julia versions. If you are already on the login node, it is possible that the installation is filling up the /tmp directory. If you get an error trying to install a Julia package, first check to make sure you are on the login node, as the compute nodes don't have internet access. Using Pkg Pkg.activate(DEPOT_PATH*"/environments/v1.3") installed_pkgs = Pkg.installed() Pkg.activate(DEPOT_PATH*"/environments/v1.3") installed_pkgs If you would like a list of the packages we have installed, the following lines should do the trick (where v1.# is your version number, for example v1.3):

The Pkg.status() command will only show packages that you have added to your home environment.

The easiest way to check if a package already exists is to try to load it by running using packagename. Or you can load Pkg and run Pkg.add("packagename"). You can enter package mode by pressing the " ]" key and entering add packagename, where packagename is the name of your package. On the login node, load a julia module and start Julia. Julia PackagesĪdding new packages in Julia doesn't require doing anything special. Let us know what you have tried so far and we can often point you in the right direction.

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If you run into trouble installing software you can reach out to us for help. Any dependencies can usually be installed in a similar way.

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Often you will have to download the source and build the software in your home directory to do this. Sometimes this is described changing the installation location.

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For other software, look at their installation documentation and see if they have instructions on how to install in your home directory. The way to do this for Julia, Python, and R packages is described below. Many packages and software can be installed in user space, meaning they are installed just for the user installing the package or software. Module load anaconda/2020a Installing Software/Packages in your Home Directory # Then use the module command to load the module needed for your work # Initialize the module command first source The following shows a Bourne shell script example: If you would like to unload the module, or remove the changes the module has made to your environment, use the following command:įinally, in order to use the module command inside a script, you will need to initialize it first.

Where oldModuleName is the name of the module you currently have loaded, and newModuleName is the new module that you would like to load. Module switch oldModuleName newModuleName This is important to do when loading a different version of a module you already have loaded, as environment variables from one version could interfere with those of another. If you want to change to a different version of the module you have loaded, you can switch the module you have loaded. If you want to list the modules you currently have loaded, you can use the module list command: Where moduleName can be any of the modules listed by the module avail command. See a list currently the modules available here. To see what modules are available, type the command: They provide an easy way to load a particular version of a language or compiler. Modules are a handy way to set up environment variables for particular work, especially in a shared environment. If you have explored both these options or are having trouble, contact us. Below we have instructions on how to install Julia, Python, and R packages. If there is no module with what you need, you can often install your package or software in your home directory. Modules contain environment variables that set you up to use other software, packages, or compilers not included in the standard stack. If it is not, first check to see if the tool you need is included in a module. The standard environment on the MIT Supercloud System is sufficient for most.