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: For this workshop, users must have an account on the Adroit cluster, and they should confirm that they can SSH into Adroit several hours beforehand. Request an account on Adroit: https://bit.ly/3wicSaH (VPN required if off-campus). Details on all of the above can be found in this guide (https://researchcomputing.princeton.edu/learn/workshops-live-training/requirements-picscie-person-and-virtual-workshops).

Workshop format: Demonstration and hands-on

Research Computing | View More Events
Co-hosted with: GradFUTURES

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