HPC with R

Workshop materials for HPC with R.

An overview of HPC methods in R programming. Topics include profiling and benchmarking, vectorizing code, memory use, data I/O, and parallel programming. Assumes basic proficiency in R programming.

Slides: https://uschpc.github.io/workshop-r-hpc/

Learning objectives:

• Explain basic HPC concepts
• Profile and benchmark R code
• Develop parallel R code
• Identify HPC-oriented R packages
• Use R on CARC HPC clusters

Example job scripts:

• serial.job
• multicore.job
• future-multicore.job
• future-cluster.job
• array.job

Additional resources

• Using R on CARC HPC clusters
• R package installation guide
• R Project
• R Manuals
• R package documentation
• R cheatsheets
• CRAN Task View on High-Performance and Parallel Computing with R
• HPCRAN
• Programming with Big Data in R
• Fastverse
• Futureverse
• rOpenSci
• Bioconductor

Web books:

• The R Inferno
• Advanced R
• Efficient R Programming