Build Hyak Stack from Scratch with Spack - statnet/computing GitHub Wiki
This page describes the steps needed on Hyak to build the latest version of R with a up-to-date GCC compiler.
1. Work on the build node.
For Mox, run:
srun -p build --time=6:00:00 --mem=40G --pty /bin/bash
TODO, add Klone:
TODO
For RSPH HPC, run:
srun -N 1 -n 1 --cpus-per-task=32 -p day-long-cpu --time=4:00:00 --mem=180G --pty /bin/bash
These are good functions to set up aliases for. (TODO: Link to alias page)
https://spack.readthedocs.io/en/latest/#)
2. Clone Spack (Move to the folder you'd like to store everything (this can be your personal home directory), then clone spack.
git clone https://github.com/spack/spack.git
After cloning, load Spack functions and variables into the environment:
. spack/share/spack/setup-env.sh
3. Tell Spack about Your Existing Compilers
Spack needs to know what to compile new packages with. This will find them and store them in a configuration file.
spack compiler find
If you are having any challenges with compiling GCC, below, you have have a previous version of this compiler configuration file. In this case, just clear that all out and restart with the following. Note, replace sjenness
with your Hyak user name.
rm -rf ~/.spack
spack compiler find
4. Install GCC
Install the spack gcc package. This takes a while, around 2.5 hours, so just let it run.
spack install gcc
If you need/want to run this on one core, use:
spack install -j1 gcc
5. Reload Spack Environment
Reload the Spack environment to identify the new GCC module that you have built, then load that module with spack load
.
. spack/share/spack/setup-env.sh
spack load [email protected]
where X.X.X
is the version of GCC that you just installed.
Tell Spack to add this new compiler to the list with:
spack compiler find
6. Build R
This will build the latest version of R with the new GCC.
spack install r %[email protected]
where X.X.X
is the version of GCC that you just installed.
If you want to build an older version of R, specify it like this:
spack install [email protected] %[email protected]
where Y.Y.Y
is the version of R that you want.
You can look up all available versions of R for download with:
spack info r
When complete, you can review the set of available spack packages with:
spack find