You are about to install OSCAR v1.3.1, the latest stable release. Follow the instructions below to set up OSCAR on your system.
WARNING:
The installation process of OSCAR, particularly the precompilation step, requires
at least 6GB of free memory. For optimal performance with OSCAR, we recommend having at least 16GB of free memory.
The following instructions assume that you are at least somewhat familiar with using a terminal interface.
If you are using Ubuntu 20.04 “Focal” or newer, or Debian 11 “Bullseye” or newer, proceed as follows:
Enter these commands into a terminal (this will prompt for your root password and requires that you
have permissions to administer your computer):
sudo apt update
sudo apt install build-essential
If you are using Fedora 40 or newer, enter the following commands into a terminal (this will prompt for your password
and requires that you have permissions to administer your computer):
sudo dnf install gcc-c++ make
Step 2: Install Julia
WARNING:
Linux users should generally not install the Julia version
provided by their package manager (e.g., `apt`, `pac`, `dnf`, `homebrew`, ...), as in many cases,
these Julia version are either outdated, or crippled, or both.
OSCAR requires Julia 1.6.0 or higher. We recommend using the latest stable release of Julia.
We suggest installing Julia via juliaup for easy updates and version management. juliaup will automatically install the latest stable release of Julia and allows you to manage multiple Julia versions if needed.
To install Julia via juliaup, run the following command in your terminal:
Install IJulia (and jupyter) by running the following command inside your Julia REPL:
usingPkg;Pkg.add("IJulia")
For more details, refer to the installation guide. If you encounter issues, you may need to explicitly build IJulia. Troubleshooting info can be found on the IJulia troubleshooting page.
Start Jupyter by running the following in your Julia REPL:
usingIJulia;notebook()
Your web browser should open with the Jupyter interface, where “Jupyter” is displayed in the upper-left corner, and a file explorer appears below. Locate and open the tutorial notebook of your interest. You might see a pop-up with the message “Kernel not found” or “Kernel error”. You can resolve this by selecting a different Julia kernel from the notebook’s kernel menu.