📄️ Quickstart
This page presents a high walk-through of submitting jobs on the UC Merced Clusters.
📄️ Job Management
This page presents helpful tools and methods to manage Slurm jobs, find detailed information of a job like memory usage, CPUs, and how to use job statistics/information to troubleshoot any job failure.
📄️ Conda Enviroments
Conda is a package management environment and package manager that is primarily used for open-source software packages. Conda is associated with Python and R programming languages but also supports C++ and Fortran.
📄️ Running Interactive Jobs
Interactive jobs are a useful way to debug and test code with small sample inputs before submitting a scaled up input in a batch job. Interactive jobs allows users to allocate resources and work on a node directly, seeing any errors or outputs in real-time as the program builds, compiles and executes.
📄️ Running Jupyter on Pinnacles
Interactive jobs on cluster
📄️ Running Matlab
Running Matlab on the clusters
📄️ Building and Compiling GPU based Softwares and Applications
Many applications require to be built with GPU support, such as Kokkos, LAMMPS, deep learning frameworks, etc. This page will showcase how to install and build GPU-supported softwares/applications.
📄️ Containerization for HPC
Pinnacles and MERCED do not support Docker images or containers due to security reasons.