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),…
This workshop introduces participants to running batch jobs on the Hoffman2 Cluster using the job scheduler. Attendees will learn how to write and submit batch scripts, request computing resources, monitor…
This workshop guides researchers through running Jupyter Notebooks on the Hoffman2 Cluster for interactive data analysis and computing. Participants will learn how to launch Jupyter via the job scheduler, connect…
This introductory workshop is designed for UCLA researchers who are new to the Hoffman2 Cluster. Participants will learn how to request an account, connect to the cluster via SSH/remote desktop,…
This workshop will cover running Large Language Models (LLMs) on the Hoffman2 HPC cluster using Ollama for inference and Open WebUI for an easy-to-use interface. Participants will learn how to…
Unlock the potential of High-Performance Computing (HPC) for solving Big Data challenges in this introductory workshop. Designed for researchers and data enthusiasts, this session will focus on using Big Data…
Building on the concepts introduced in Using Containers on HPC Resources, this session will focus on creating custom containers designed to run seamlessly on HPC platforms. Participants will learn how…
Containers are revolutionizing the way scientific software is run on High-Performance Computing (HPC) platforms by providing a ÔvirtualÕ OS that simplifies application installation and portability. This session will guide you…