== Getting an account ==

New users have to ask the PIs (Eric Larour or Mathieu Morlighem) to request a NASA account for them if they don't have one already:
 - go to [https://www.nas.nasa.gov/hecc/portal/accounts] select option 3 ("I want to request a NASA identity for one of my new users")
 - provide the information requested

Then, a NAS account has to be created by the new user:
 - go to [https://www.nas.nasa.gov/hecc/portal/accounts] select option 2 ("I want to request and account for myself")
 - provide the information requested using either GID = s5692 for Eric's group or GID = s1507 for Mathieu's group
 - the PI will receive an email to approve the request
 - All users must complete NASA-mandatory Basic IT Security Training (This year's training is called "FY2016 CYBERSECURITY AND SENSITIVE UNCLASSIFIED INFORMATION AWARENESS TRAINING"). 

== Password-less ssh ==

Follow the steps outlined here [http://www.nas.nasa.gov/hecc/support/kb/Setting-Up-SSH-Passthrough_232.html]

== Environment ==

Pleiades generally uses `csh` by default instead of `bash`.  If you are using the `csh`, then add the following to your `~/.cshrc`:
{{{

#init lib paths
setenv LD_LIBRARY_PATH $HOME
setenv DYLD_LIBRARY_PATH $HOME

#ISSM
setenv ISSM_DIR /home1/mmorligh/issm/trunk/
source $ISSM_DIR/etc/environment.csh

#Packages
module load comp-intel/2018.3.222
module load /nasa/intel/impi/2021.3/modulefiles/mpi/2021.3.0

#Set compilers
setenv CC mpicc
setenv CXX mpicxx
setenv F77 mpif77
}}}

And replace `ISSM_DIR` with your actual trunk. ''Log out and log back in'' to apply this change.

== Installing ISSM on Pleiades ==

'''Do NOT install mpich'''. We have to use the one provided by NAS. Pleiades will ''only'' be used to run the code, you will use your local machine for pre and post processing, you will never use Pleiades' matlab. You can check out ISSM and install the following packages:
 - PETSc (use the pleiades script install-3.17-pleiades.sh or newer)
 - m1qn3

For documentation of pleiades, see here: http://www.nas.nasa.gov/hecc/support/kb/

You will need to run the following commands before configuring ISSM:

{{{
cd $ISSM_DIR
autoreconf -ivf
}}}

Use the following configuration script (adapt to your needs):

{{{
#!/bin/csh

./configure \
 --prefix=$ISSM_DIR \
 --enable-standalone-libraries \
 --with-wrappers=no \
 --with-m1qn3-dir=$ISSM_DIR/externalpackages/m1qn3/install \
 --with-metis-dir=$ISSM_DIR/externalpackages/petsc/install \
 --with-petsc-dir=$ISSM_DIR/externalpackages/petsc/install \
 --with-scalapack-lib="-L/nasa/intel/Compiler/2018.3.222/compilers_and_libraries_2018.3.222/linux/mkl/lib/intel64/libmkl_scalapack_lp64.so" \
 --with-mpi-include=" " \
 --with-mpi-libflags=" -lmpi" \
 --with-mkl-libflags="-L/nasa/intel/Compiler/2018.3.222/compilers_and_libraries_2018.3.222/linux/mkl/lib/intel64 -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lpthread -lm" \
 --with-mumps-dir=$ISSM_DIR/externalpackages/petsc/install \
 --with-fortran-lib="-L/nasa/intel/Compiler/2018.3.222/compilers_and_libraries_2018.3.222/linux/compiler/lib/intel64_lin/ -lifcore -lifport -lgfortran" \
 --with-cxxoptflags="-O3 " \
 --with-vendor="intel-pleiades-mpi" \
 --enable-development
}}}

== Installing ISSM on Pleiades with Dakota ==

For Dakota to run, you will not need to remake PETSc and m1qn3, as long as you made them using the intel mpi and the mpi compilers, as described above. 

Dakota will require that you have a python that is of version python2. The easiest way to do this is create a link for a `python` call to `/usr/bin/python2`.  One way to do this is to add a path to a new bin folder in your `~/.cshrc`:

{{{
setenv PATH ${PATH}:${HOME}/bin
}}}

Then, create a bin folder in your home directory (if you do not have one already).  In your home directory, type `mkdir bin`.  Then `cd bin`, and finally type `ln -s /usr/bin/python2 python`.  

Then ''log out and log back in'', and build the external packages: 
 - gsl, install-pleiades.sh
 - boost, install-1.55-pleiades.sh
 - dakota, install-6.2-pleiades_toss4.sh

Finally, you will need to use the following configuration script (i.e. adding the "with" lines for dakota and boost):

{{{
#!/bin/csh

./configure \
 --prefix=$ISSM_DIR \
 --enable-standalone-libraries \
 --with-wrappers=no \
 --with-m1qn3-dir=$ISSM_DIR/externalpackages/m1qn3/install \
 --with-metis-dir=$PETSC_ROOT \
 --with-petsc-dir=$PETSC_ROOT \
 --with-scalapack-lib="-L/nasa/intel/Compiler/2018.3.222/compilers_and_libraries_2018.3.222/linux/mkl/lib/intel64/libmkl_scalapack_lp64.so" \
 --with-boost-dir=$ISSM_DIR/externalpackages/boost/install \
 --with-dakota-dir=$ISSM_DIR/externalpackages/dakota/install \
 --with-mpi-include=" " \
 --with-mpi-libflags=" -lmpi" \
 --with-mkl-libflags="-L/nasa/intel/Compiler/2018.3.222/compilers_and_libraries_2018.3.222/linux/mkl/lib/intel64 -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lpthread -lm" \
 --with-mumps-dir=$PETSC_ROOT \
 --with-fortran-lib="-L/nasa/intel/Compiler/2018.3.222/compilers_and_libraries_2018.3.222/linux/compiler/lib/intel64_lin/ -lifcore -lifport -lgfortran" \
 --with-cxxoptflags="-O3 " \
 --with-vendor="intel-pleiades-mpi" \
 --enable-development
}}}

Remember, you will need to run the following commands before configuring ISSM:

{{{
cd $ISSM_DIR
autoreconf -ivf
}}}

Note, if you would like to use the python 3 version that loads in the environment, you will need to call `python3` to do so, as long as the python alias is set to python2.


== pfe_settings.m ==

You have to add a file in `$ISSM_DIR/src/m` entitled `pfe_settings.m` with your personal settings:

{{{
#!m
cluster.login='mmorligh';
cluster.queue='devel';
cluster.codepath='/u/mmorligh/issm/trunk/bin';
cluster.executionpath='/u/mmorligh/issm/trunk/execution/';
cluster.grouplist='s5692';
}}}

use your username for the `login` and enter your code path and execution path. These settings will be picked up automatically by matlab when you do `md.cluster=pfe()`

Make sure your module list includes scicon/app-tools, comp-intel/2018.3.222, and /nasa/intel/impi/2021.3/modulefiles/mpi/2021.3.0. You can specify your own list of modules by adding to `pfe_settings.m`, for example:

{{{
cluster.modules = {'comp-intel/2018.3.222' '/nasa/intel/impi/2021.3/modulefiles/mpi/2021.3.0' 'scicon/app-tools'};
}}}


== Running jobs on Pleiades ==

On Pleiades, the more nodes and the longer the requested time, the more you will have to wait in the queue. So choose your settings wisely:

{{{
#!m
md.cluster=pfe('numnodes',8,'time',30,'processor','bro','queue','devel');
md.cluster.time=10;
}}}

to have a maximum job time of 10 minutes and 8 broadwell nodes. If the run lasts longer than 10 minutes, it will be killed and you will not be able to retrieve your results.

Now if you want to check the status of your job and the queue you are using, use this command:

{{{
#!sh
qstat -u USERNAME
}}}

You can delete your job manually by typing:

{{{
#!sh
qdel JOBID
}}}

where JOBID is the ID of your job (indicated in the Matlab session). Matlab indicates too the directory of your job where you can find the files `JOBNAME.outlog` and `JOBNAME.errlog`. The outlog file contains the informations that would appear if you were running your job on your local machine and the errlog file contains the error information in case the job encounters an error. 

If you want to load results from the cluster manually (for example if you have an error due to an internet interruption), you find in the informations Matlab gave you `/home/srebuffi/trunk-jpl/execution//SOMETHING/JOBNAME.lock `, you copy the SOMETHING and you type in Matlab:

{{{
#!m
md=loadresultsfromcluster(md,'runtimename','SOMETHING');
}}}