Using R on the Research Computing Clusters

This workshop will provide an overview of techniques for using R to tackle problems at scale and in parallel on the Research Computing clusters. This training will cover parallelization in R using a variety of techniques including job arrays, MPI, multiprocessing, and speed-ups to R’s BLAS library using Intel’s MKL and NVIDIA's NVBLAS.

Learning objectives: Participants will come away with an overview of techniques for parallelizing R code and see concrete examples of how to execute these techniques on the Research Computing clusters.

Knowledge prerequisites: Basic familiarity with Linux (including logging into a remote system and using the command line on that system) and with R.    

Hardware/software prerequisites: Users must have an account on the Adroit cluster. Please request an account on Adroit at least one hour before the workshop. Additional details on connecting to Adroit are found in this guide.

Workshop format: Demonstration and hands-on

See the full Research Computing training schedule or subscribe to the Research Computing mailing list.

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Co-hosted with: GradFUTURES

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