HPC Job Submission with Matlab and PBS Scripts

High-performance computing (HPC) environments offer massive computational power, but running complex Matlab simulations on these systems requires knowing how to communicate with the cluster's scheduler. This text-based course guides you through the process of preparing, configuring, and submitting Matlab jobs to a cluster using PBS (Portable Batch System) job scripts. You will transition from running scripts on a local machine to executing large-scale numerical computations in a shared cluster environment. By completing this course, you will understand how to optimize your code for remote execution and efficiently manage cluster resources. You will learn to write robust submission scripts, handle data input and output, and utilize parallel computing toolboxes to speed up your workloads. What you'll learn: - Understand the core concepts of high-performance computing and the role of the PBS scheduler - Write and configure PBS job scripts to request specific CPU, memory, and time resources - Run non-interactive Matlab batch jobs on remote cluster nodes - Configure Matlab Parallel Computing Toolbox settings for multi-core cluster execution - Troubleshoot common submission errors, file path issues, and resource limit terminations - Apply modern best practices for managing data input and output in headless environments This course begins with foundational definitions of HPC architecture, scheduling, and headless execution, before moving into step-by-step syntax guides for PBS directives and Matlab command-line arguments. You will progress through realistic scenarios, including serial execution, basic parallel loops, and job arrays. This course is designed for researchers, engineers, and students who have basic familiarity with Matlab and want to run their computations on cluster resources. No prior experience with HPC systems or shell scripting is required. Start reading today to unlock the full computational power of cluster computing for your Matlab projects.