Are you working on a research project but finding that your data is too big for your laptop, or that your code must run for a long time? You need more compute power! During this session we'll discuss the differences and advantages of various remote and networked computing options, from servers in your lab to institutional high performance computing (HPC) and cloud services. We'll cover an overview of HPC terminology, architecture, and general workflows. We'll also provide information about UC-specific computing resources and contacts. This workshop is a prerequisite introduction to DataLab's Introduction to Remote Computing series where you'll learn how to access and work efficiently on the UC Davis HPC.

By the end of this workshop attendees should be able to:
- compare local, remote, HPC, and cloud computing options
- define common compute jargon including cluster, supercomputer, nodes,
- identify the skills needed for working on remote and HPC systems
- describe how remote and HPC could benefit their research
- identify where to go to learn more!

Note: There are no prerequisites for this introductory session. We will not be doing any live coding.

This workshop is being offered virtually in conjunction with [UC Love Data Week](https://uc-love-data-week.github.io/).

Can't make it to this training? Check out upcoming workshop schedule. Recordings of prior similar workshops are also available in DataLab's training archive.