Install ATS using Spack

mkdir -p $HOME/spack/local

mkdir -p $HOME/.spack

cp /uufs/chpc.utah.edu/sys/installdir/spack/0.20.1/etc/spack/config.yaml ~/.spack

# inside config.yaml, modify the root and template paths to the following:
root: $HOME/spack/local/builds

template_dirs:
  - $HOME/spack/local/templates

#inside modules.yaml, put the following:
modules:
  default:
    roots:
      lmod: $HOME/spack/local/modules

# load spack
# $ source /uufs/chpc.utah.edu/sys/installdir/spack/0.20.1/share/spack/setup-env.sh

$ module load spack/0.20.1  

# setup compilers
# $ spack compiler find

# clone Amanzi
#$ git clone --recursive https://github.com/amanzi/amanzi
$ spack repo add PATH_TO_AMANZI/config/spack

# install Amanzi
$ spack install amanzi%gcc@11.2.0~tests physics=ats ^openmpi@4.1.4%gcc@11.2.0 fabrics=ucx +cxx+internal-hwloc schedulers=slurm +legacylaunchers ^ucx +mlx5_dv+verbs+ud+dc+rc+cma ^trilinos@13.0.0 target=nehalem  

# add the module file path
module use -a /uufs/chpc.utah.edu/common/home/u6046326/spack/local/modules

# load the compiler environment first
ml gcc/11.2.0  openmpi/4.1.4
# Then load the program
ml linux-rocky8-x86_64/MPI/linux-rocky8-nehalem/gcc/11.2.0/openmpi/4.1.4/amanzi

-- -*- lua -*-
-- Module file created by spack (https://github.com/spack/spack) on 2023-08-10 09:44:38.438489
--
-- amanzi@master%gcc@11.2.0~geochemistry+hypre~ipo+shared~silo~tests build_system=cmake build_type=Release data_model=epetra generator=make mesh_framework=mstk mesh_type=unstructured physics=ats arch=linux-rocky8-nehalem/kfoqbao
--

whatis([[Name : amanzi]])
whatis([[Version : master]])
whatis([[Target : nehalem]])
whatis([[Short description : Amanzi, the Multi-Process HPC Simulator is a highly modular and extensible computational engine for simulations of flow and reactive transport. It is capable of simulating transient saturated and variably saturated (Richards) flows, transport with non-grid-aligned dispersion and a variety of reactions. In the future it will include non-isothermal, multi-phase multi-component, geo-mechanical, and surface water models. To achive this ambitious goal we are building Amanzi as a grass-roots collaboration of an emerging broader community of geoscienists, computational and computer scientists, and applied mathematicians. This broader community is leveraging its extensive experience, existing capabilities, and untapped advances from their areas of expertise to develop Amanzi.]])