Welcome! -------- This is the course page for: Moving your R based research project from personal computer to HPC cluster ------------------------------------------------------------------------ **Course description:** While you may be familiar with running an RStudio session or Rscript on your personal computer, getting your R workflow up and running on UBC ARC Sockeye (“Sockeye”) comes with some additional considerations. These include navigating the command line interface, installing R packages, launching RStudio, and running Rscript. You will also need to request the compute resources for your analysis, including CPU, memory, and run time. In this session we will walk through the steps required to set up your R analysis on Sockeye, and cover some of the common pitfalls. **What you'll find here:** - A copy of the session slides - Course materials (e.g. sample job scripts) - Links to resources that may be beneficial **Useful Links:** *UBC Materials* - UBC ARC Sockeye information and application: https://arc.ubc.ca/ubc-arc-sockeye - UBC ARC Technical User Documentation: https://confluence.it.ubc.ca/x/tFEQCg - UBC ARC Training Page: https://confluence.it.ubc.ca/x/ASMaDg *R* - FasteR: https://www.noamross.net/archives/2013-04-25-faster-talk/ - Parallel Computing with R (LSU) http://www.hpc.lsu.edu/training/weekly-materials/2017-Fall/HPC_Parallel_R_Fall2017.pdf - R on HPC: https://hackmd.io/@bbolker/r_hpc - R optimize code and measure performance: http://adv-r.had.co.nz/Profiling.html **Contact** For any questions, concerns and other feedback, reach out at arc.support@ubc.ca