Tutorials

HPC at SCU utilizes a powerful cluster environment to support research, coursework, and advanced computational projects across disciplines. Users can submit and monitor SLURM jobs, request GPUs and memory, manage software environments with Conda, and run tools like MATLAB, C/C++, Jupyter, and machine learning workflows through Open OnDemand. These resources enable efficient, scalable computing while simplifying access to high-performance infrastructure.

We offer tutorials for:

• HPC Courses on Camino — Introductory videos and course guides covering AI/ML on the HPC and getting started with SCU WAVE High Performance Computing.
• Recorded Training Sessions — Recordings of past training sessions for users who want to learn at their own pace.
• SLURM Job Tutorials — Covers submitting, scheduling, and managing jobs, including batch and interactive jobs, partitions and queues, requesting GPU resources and memory, and monitoring jobs.
• Command Line Terminal Tutorials — Foundational skills for navigating the system and connecting securely, including getting to know the command terminal and setting up SSH keys.
• Conda Tutorials — Managing software environments and dependencies for reproducible research and coding workflows.
• Machine Learning Tutorials — Guidance on leveraging GPUs and cluster resources for training and running ML models at scale.
• Programming Tools Tutorials — Running and compiling C/C++ programs, plus running MATLAB workloads on HPC hardware.
• Open OnDemand Tutorials — Web-based access to the cluster, including launching apps, managing files/jobs/clusters, Jupyter Notebook integration, WAVE Desktop, and MATLAB integration.