Optimizing research with GPUs on Hoffman2

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This workshop caters to computing professionals and researchers eager to push the boundaries of high-performance computing using GPUs. Tailored for an audience that ranges from novices to experienced users, the...
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HPC@UCLA: Interactive Computing on H2C

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Learn how to perform interactive computing on the Hoffman2 Cluster. From requesting the computational resources needed for your interactive session to loading and starting TUI and GUI applications. Instructor: Raffaella...
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High Performance Python for Data Analytics (1)

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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,...
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R Graphics: Introduction to ggplot2

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This seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We will cover the basic elements of the grammar...
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High Performance Python for Data Analytics (2)

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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,...
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HPC@UCLA: Batch Job Submission on H2C

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Batch computing enables you to execute concurrently or independently a large number of simulations, practically scaling up your ability to conduct research. Come and learn the basics of how to...
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Applies Survey Data Analysis in SPSS

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The workshop will introduce the basic concepts and elements necessary to analyze data collected via a complex sampling design. The workshop will use SPSS Complex Samples to conduct descriptive analyses....
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Analysis and Visualization of interactions in R

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In regression, we are often interested in an interaction, which is the modification or moderation of the effect of an independent variable by another. Understanding interactions involves interpreting the regression...
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