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.

Prerequisites: This session is open to all UC researchers and students. No previous experience required.

Instructor: Dr. Pamela Reynolds is the Associate Director of UC Davis’ DataLab.