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Parallel Python
So you’ve gotten really good at python. Your algorithm is perfect, your data is clean … and it takes hours to run. In fact, you just realized that you could be running this in a dozen different ways by tweaking some parameters, but that would take days to run … if you get really lucky and it completes with no errors. It’s time to parallelize your code. In this class, you will learn a couple basic methods for parallelizing your code and completing your jobs in a fraction of the time. Prior experience with python is strongly recommended.
Introduction to Supercomputing
This brief workshop will introduce you to the basic concepts of supercomputing and walk you through a humanities use-case based on JSTOR data. You will learn the difference between HPC and HTC, how to log into Rice’s supercomputing clusters, how to schedule a job, how to monitor resource usage, and the basics of concepts like message passing and load-balancing.
Building and Managing Your Online Profile as an Academic
Prerequisites:
NONE
However, target audience: group of postdocs; Rice Academy
To reach potential employers, collaborators, students and readers, academics need to establish and maintain a compelling web presence. This hands-on workshop will explore how to develop such a online profile, including:
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creating a cohesive online presence
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