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.
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this video is owned by the Regents of the University of California and is
licensed for reuse under the Creative Commons Attribution 4.0 International (CC
BY 4.0) License.
