Advanced HPC-CI Webinar Series: R for HPC
Remote event
Extended abstract: In the first session of this webinar, we will focus on the R package management and user environment configuration on the HPC cluster. We will learn how to run some basic built-in commands in the R Console or RStudio to list, install from source, update, and remove R packages. We will also introduce how to install R packages with conda, which is more convenient for building an isolated environment, but also has some limitations we need to be aware of. We will provide a few examples to configure the user environment to better use R or RStudio for HPC. Next, in the second session, we will focus on the R parallelization in HPC. We will provide a few examples of implicit parallelism in R, including the workflow of the R parallel package to generate the desired R processes on a single node or multiple nodes, as well as a few related packages that can parallelize and enhance the data importing and computing performance of R programs.
Instructor
Dr. Yuwu Chen, Ph.D.
Computational & Data Science Research Specialist
Yuwu Chen received his PhD from Louisiana State University in chemical engineering with an emphasis on molecular dynamics simulation of proteins. Yuwu’s key responsibility is to provide a high degree of HPC customer support and professionalism to the research communities of UCSD and other institutions. He is a Singularity user and has provided Singularity user support for HPC users since 2019.