Interactive HPC applications written in languages such as Python play a very important part today in high-performance computing. We look at how to run Python and Jupyter notebooks on a Warewulf 4 cluster.

Environment Modules are an indispensable tool for high-performance computing that allow you to switch between and among versions of compilers, libraries, and applications.

Install NVIDIA GPU drivers on the head and compute nodes.

Warewulf installed with a compute node is not really an HPC cluster; you need to ensure precise time keeping and add a resource manager.

Warewulf 4 is ready to help you build an HPC cluster.

HPC systems are really designed to be shared by several users. One way to share them is through a software tool called a resource manager. Openlava is an open source version of the commercial scheduler LSF. It shares the robustness of LSF while being freely available, very scalable, and easy to install and customize.

Installing and configuring Warewulf on the master node and booting the compute nodes creates a basic cluster installation; however, a little more configuration to the master remains and a few other tools must be installed and configured for the Warewulf cluster to become truly useful for running HPC applications.

The Warewulf stateless cluster tool is scalable and highly configurable, and it eases the installation, management, and monitoring of HPC clusters.