Spack ๐Ÿ‘พ

Posted on Dec 7, 2022
tl;dr: Spack allows you to easily install scientific software on AWS ParallelCluster

Spack Logo

Install Spack

Spack is a package manager for supercomputers, Linux, and macOS. It makes installing scientific software easy. Spack isnโ€™t tied to a particular language; you can build a software stack in Python or R, link to libraries written in C, C++, or Fortran, and easily swap compilers or target specific microarchitectures.

First, on the head node - which we connected to via SSM or DCV we’ll run:

export SPACK_ROOT=/shared/spack
git clone -b v0.19.0 -c feature.manyFiles=true $SPACK_ROOT
echo "export SPACK_ROOT=/shared/spack" >> $HOME/.bashrc
echo "source \$SPACK_ROOT/share/spack/" >> $HOME/.bashrc
source $HOME/.bashrc

This script assumes you have a /shared filesystem that’s accessible to all the compute nodes. I reccomend configuring this with either EFS or FSx Lustre so you can persist installed packages across multiple cluster. This makes doing version upgrades much easier.

This script is also written with a single-user environment in mind. If you have multiple users, each of them will need to add export SPACK_ROOT=/shared/spack && source \$SPACK_ROOT/share/spack/ to their ~/.bashrc file.

Spack Build Cache

Spack just got 20x faster!

In Spack v0.18.0, we introduced the concept of a public build cache. This allows users to install packages from pre-built binaries, dramatically lowering build time, up to 20x faster for certain packages.

You can also browse the contents of this caches at

To get started, add the binary mirror:

spack mirror add binary_mirror
spack buildcache keys --install --trust

Then you’re able to install packages from the binary cache. For example the package WRF can be installed like so:

spack install wrf

When you get a cache hit you’ll see Extracting [package] from binary cache like so:

Spack Cache Hit

To check with packages you have installed, run:

spack find

Spack Find

So how much faster is this?

For WRF, this improves the installation time from 40 minutes to 10 minutes. A 4x speedup.