Skip to Main Content
UCLA Logo Institute for Digital Research and Education

HPC

High Performance Machine Learning Using Scikit-Learn

Machine learning is playing an increasingly important role in science and technology. In this advanced session, we focus on leveraging scikit-learn for high-performance machine learning. We will explore how to…

Running Large Language Models on Hoffman2

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…

High Performance Python for Data Analytics pt.2

While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series,…

High Performance Python for Data Analytics pt.1

While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series,…

Big Data on HPC

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 Containers for HPC

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…

Using Containers on HPC Resources

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…

HPC@UCLA: Intro to H2C (Hoffman2 Cluster)

The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. Come and learn what is it and how you can get started using it. Instructor: Raffaella D’Auria…