Quick Start for Users¶
compass conda environment¶
E3SM supported machines¶
For each compass
release, we maintain a
conda environment. that includes the
compass
package as well as all of its dependencies and some libraries
(currently ESMF and
SCORPIO) built with system
MPI on our standard machines (Anvil, Badger, Chrysalis, Compy, Cori, and
Grizzly). Here are the commands to load the the environment for the latest
compass
release with the default compiler and MPI library on each machine:
Anvil (Blues):
source /lcrc/soft/climate/compass/anvil/load_latest_compass.sh
Badger:
source /usr/projects/climate/SHARED_CLIMATE/compass/badger/load_latest_compass.sh
Chrysalis:
source /lcrc/soft/climate/compass/chrysalis/load_latest_compass.sh
Compy:
source /share/apps/E3SM/conda_envs/compass/load_latest_compass.sh
Cori-Haswell:
source /global/cfs/cdirs/e3sm/software/compass/cori-haswell/load_latest_compass.sh
Cori-KNL:
source /global/cfs/cdirs/e3sm/software/compass/cori-knl/load_latest_compass.sh
Grizzly:
source /usr/projects/climate/SHARED_CLIMATE/compass/grizzly/load_latest_compass.sh
These same paths (minus load_latest_compass.sh
) also have load scripts for
the latest version of compass with all the supported compiler and MPI
combinations. For example, on Anvil, you can get an environment appropriate
for build MPAS components with Gnu compilers and OpenMPI using:
source /lcrc/soft/climate/compass/anvil/load_latest_compass_gnu_openmpi.sh
other machines¶
To install your own compass
conda environment on other machines, first,
install Miniconda3 (if
miniconda is not already installed), then add the
conda-forge channel:
conda config --add channels conda-forge
conda config --set channel_priority strict
then, create a new conda environment (called compass
in this example) as
follows:
conda create -n compass -c conda-forge -c e3sm/label/compass python=3.9 \
"compass=*=mpi_mpich*"
This will install the version of the package with MPI from conda-forge’s MPICH
package. If you want OpenMPI, use "compass=*=mpi_openmpi*"
instead. If
you do not want MPI from conda-forge (e.g. because you are working with a
system with its own MPI), use "compass=*=nompi*"
To get a specific version of compass
, you can instead run:
conda create -n compass -c conda-forge -c e3sm/label/compass python=3.9 \
"compass=1.0.0=mpi_mpich*"
That is, you will replace compass=*
with compass=1.0.0
.
Then, you will need to create a load script to activate the conda environment and set some environment variables. In a directory where you want to store the script, run:
conda activate compass
create_compass_load_script
From then on, each time you want to set up test cases or suites with compass or build MPAS components, you will need to source that load script, for example:
source load_compass_1.0.0_mpich.sh
When you set up tests, a link called load_compass_env.sh
will be added to
each test case or suite work directory. To run the tests, you may find it
more convenient to source that link instead of finding the path to the original
load script.
Building MPAS components¶
You will need to check out a branch of E3SM to build an MPAS component.
Typically, for MPAS-Ocean, you will clone E3SM and for MALI, you will clone MALI-Dev.
To build MPAS-Ocean, first source the appropriate load script (see compass conda environment) then run:
cd components/mpas-ocean
git submodule update --init --recursive
make <mpas_make_target>
MALI can be compiled with or without the Albany library that contains the first-order velocity solver. The Albany first-order velocity solver is the only velocity option that is scientifically validated, but the Albany library is only installed on Badger, Grizzly, and Cori. Therefore, in some situations it is desirable to compile without Albany to run basic tests on platforms where Albany is not available. This basic mode of MALI can be compiled similarly to MPAS-Ocean. Again, first source the appropriate load script (see compass conda environment) then run:
cd components/mpas-albany-landice
git submodule update --init --recursive
make <mpas_make_target>
Compiling MALI with Albany has not yet been standardized, though this is a feature we hope to support in the next release. Some information is available at https://github.com/MALI-Dev/E3SM/wiki, and complete instructions will be added here in the future.
See the last column of the table in Supported Machines for the right
<mpas_make_target>
command for each machine and compiler.
Setting up test cases¶
Before you set up a test case with compass
, you will need to build the
MPAS component you wish to test with, see Building MPAS components above.
If you have not already done so, you will need to source the appropriate load script, see compass conda environment.
To see all available test cases you can set up in compass, run:
compass list
and you get output like this:
0: landice/circular_shelf/decomposition_test
1: landice/dome/2000m/sia_smoke_test
2: landice/dome/2000m/sia_decomposition_test
3: landice/dome/2000m/sia_restart_test
4: landice/dome/2000m/fo_smoke_test
5: landice/dome/2000m/fo_decomposition_test
6: landice/dome/2000m/fo_restart_test
7: landice/dome/variable_resolution/sia_smoke_test
8: landice/dome/variable_resolution/sia_decomposition_test
9: landice/dome/variable_resolution/sia_restart_test
...
The list is long, so it will likely be useful to grep
for particular
content:
compass list | grep baroclinic_channel
32: ocean/baroclinic_channel/1km/rpe_test
33: ocean/baroclinic_channel/4km/rpe_test
34: ocean/baroclinic_channel/10km/rpe_test
35: ocean/baroclinic_channel/10km/decomp_test
36: ocean/baroclinic_channel/10km/default
37: ocean/baroclinic_channel/10km/restart_test
38: ocean/baroclinic_channel/10km/threads_test
See compass list for more information.
To set up a particular test case, you can either use the full path of the test case:
compass setup -t ocean/global_ocean/QU240/mesh -w <workdir> -p <mpas_path>
or you can replace the -t
flag with the simple shortcut: -n 15
. You
can set up several test cases at once by passing test numbers separated by
spaces: -n 15 16 17
. See compass setup for more details.
Here, <workdir>
is a path, usually to your scratch space. For example, on
Badger on LANL IC, you might use:
-w /lustre/scratch4/turquoise/$USER/runs/210131_test_new_branch
The placeholder <mpas>
is the relative or absolute path where the MPAS
component has been built (the directory, not the executable itself; see
Machines). You will typically want to provide a path either with -p
or in a config file (see below) because the default paths are only useful for
developers running out of the compass
repository.
You can explicitly specify a supported machine with -m <machine>
. You can
run:
compass list --machines
to see what machines are currently supported. If you omit the -m
flag,
compass
will try to automatically detect if you are running on a supported
machine and will fall back to a default configuration if no supported machine
is detected.
You may point to a config file with -f
:
compass setup -t ocean/global_ocean/QU240/mesh -f ocean.cfg -w <workdir>
to specify config options that override the defaults from compass
as a
whole, individual testcases, or machines. If you are working on a supported
machine and you used -p
to point to the MPAS build you want to use, you do
not need a config file.
If you are not on one of the supported machines, you will need to create a config file like in this example for MPAS-Ocean. See also these examples in the repository.
# This file contains some common config options you might want to set
# if you're working with the compass MPAS-Ocean or MALI.
# The paths section describes paths that are used within landice and ocean
# test cases.
[paths]
# The root to a location where data files for MALI will be cached
landice_database_root = </path/to/landice_datafiles>
# The root to a location where the mesh_database, initial_condition_database,
# and bathymetry_database for MPAS-Ocean will be cached
ocean_database_root = </path/to/ocean_databases>
# The parallel section describes options related to running tests in parallel
[parallel]
# parallel system of execution: slurm or single_node
system = single_node
# whether to use mpirun or srun to run the model
parallel_executable = mpirun -host localhost
# cores per node on the machine
cores_per_node = 4
# the number of multiprocessing or dask threads to use
threads = 4
The two *_database_root
directories can point to locations where you would
like to download data for MALI and MPAS-Ocean. This data is downloaded only
once and cached for the next time you call compass setup
or
compass suite
(see below).
The cores_per_node
and threads
config options should be the number of
CPUs on your computer. You can set this to a smaller number if you want
compass
.
In order to run regression testing that compares the output of the current run
with that from a previous compass run, use -b <previous_workdir>
to specify
a “baseline”.
When you set up one or more test cases, they will also be included in a custom
test suite, which is called custom
by default. (You can give it another
name with the --suite_name
flag.) You can run all the test cases in
sequence with one command as described in Test Suites or run them
one at a time as follows.
Running a test case¶
After compiling the code and setting up a test case, you can log into an interactive node (see Supported Machines), load the required conda environment and modules, and then
cd <workdir>/<test_subdir>
source load_compass_env.sh
compass run
The <workdir>
is the same path provided to the -w
flag above. The
sequence of subdirectories (<test_subdir>
) is the same as given when you
list the test cases. If the test case was set up properly, the directory
should contain a file test_case.pickle
that contains the information
compass
needs to run the test case. The load script
load_compass_env.sh
is a link to whatever load script you sourced before
setting up the test case (see compass conda environment).
Test Suites¶
compass
includes several suites of test cases for code regressions and
bit-for-bit testing, as well as simply to make it easier to run several test
cases in one call. They can be listed with:
compass list --suites
The output is:
Suites:
-c landice -t fo_integration
-c landice -t full_integration
-c landice -t sia_integration
-c ocean -t cosine_bell_cached_init
-c ocean -t ec30to60
-c ocean -t ecwisc30to60
-c ocean -t nightly
-c ocean -t pr
-c ocean -t qu240_for_e3sm
-c ocean -t quwisc240
-c ocean -t quwisc240_for_e3sm
-c ocean -t sowisc12to60
-c ocean -t wc14
You can set up a suite as follows:
compass suite -s -c ocean -t nightly -w <workdir> -p <mpas_path>
where the details are similar to setting up a case. You can use the same
config file (e.g. -f ocean.cfg
) and you can specify a “baseline” with
-b <previous_workdir>
for regression testing of the output compared with a
previous run of the nightly
suite. See compass suite for more
on this command.
To run the regression suite, log into an interactive node, load your modules, and
cd <workdir>
source load_compass_env.sh
compass run [nightly]
In this case, you can specify the name of the suite to run. This is required
if there are multiple suites in the same <workdir>
. You can optionally
specify a suite like compass run [suitename].pickle
, which is convenient
for tab completion on the command line. The load script
load_compass_env.sh
is a link to whatever load script you sourced before
setting up the test case (see compass conda environment).