Optimizing and Managing Your Workflows – HPC@UCLA Workshop 5 of 5

This advanced session focuses on improving the efficiency, scalability, and reproducibility of your research workflows on the Hoffman2 Cluster. Topics include job arrays, resource monitoring, environment management (e.g., python, conda), and best practices for data and storage usage. Ideal for users ready to streamline and scale their computational research.