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Download and install Cisco connect VPN
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Login to to VPN using your FAS-RC credentials and two-pass authentication code
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Navigate to https://vdi.rc.fas.harvard.edu/pun/sys/dashboard
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Login to page using FAS-RC user id and password
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Click on Interactive Apps pulldown and select the “Rstudio Server” under the SEr5ver heading. DO NOT select, “RStudio Server (bioconductor + tidyverse)”
Here most of the settings are self-explanatory.
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I have tried out multiple cores (12) and while I am unsure it is using the full 48 cores parallel::detectCores finds, my simulation did run substantially faster (4 cores = 5% done when “12 cores” was at 75%. I would be interested to hear other people’s experiences and how transparently/well it works with R.
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Maximum memory allocation is supposed to bey 120GHB. I haven’t tried asking for more.
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I’ve been loading the R/4.02-fasrrc01 Core R versions. I tried the R/4.02-fasrc Core & gcc 9.3.0 first and ran into package compilation issues.
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You can set the R_LIBS_USER folder to use which will contain your library packages. Using this approach, I was able to install packages in session , delete the server and come back to the installed packages in a new session. You could theoretically also switch between R versions using this and the version selector.
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I haven’t tired executing a script before staring Rstudio, but theoretically, I could see using this to launch a condo environment.
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I don’t know about reservations but they sound interesting for getting a high mem machine.