# NCSA Delta

Warning

There is a known and, thus far, unresolved issue when building with cmake for GPU and hypre support.

If this is your first time building MFIX-Exa on Delta, please review the general notes below and Basics section first.

- To access Delta, you will need an NCSA account which can be administered by the NSF ACCESS allocation managment system.

- You can find the name of your account(s) and the current balance with the `accounts` command.

- These instructions build MFIX-Exa on the login nodes using -j8 CPUs. You may have to decrease this value if there is high traffic or you may want to increase this value if you are on a compute node interactively.

- The cmake instructions compile to a `build` directory. The gmake instructions compile to a `exec` directory.

- For the dependencies, it is assumed that you have set the following environment variables:

      export HYPRE_INSTALL_DIR=$HOME/<path/to/my/hypre-install-dir>
      export CSG_INSTALL_DIR=$HOME/<path/to/my/csg-dep-install-dir>
      export CSG_LIB_DIR=$HOME/<path/to/my/csg-lib-install-dir>
      export ASCENT_INSTALL_DIR=$HOME/<path/to/my/ascent-install-dir>

  to a path that you have read/write access to. You will need to recall these paths later if you want to build MFIX-Exa with the optional dependencies.

- After building the `mfix` executable (with cmake), you can build the PIC-to-DEM restarter app by executing the following command in the `build` directory

      cmake --build . --target pic2dem

## Basics

### Source code

Before building, first obtain a copy of the source code following the instructions on the MFIX-Exa website.

### Modules

The default modules on Delta are almost all that you need to build and compile all dependencies. If you are using `cmake` to build, you need to load a newer version, such as

    module load cmake/3.23.1

If you are building the CSG library or building MFIX-Exa with CSG support, you need to load boost, such as

    module load boost/1.80.0

There is a known incompatability with AMReX and the pre-loaded cuda version 11.6.1. To build with GPU support you will need to downgrade or upgrade versions, such as

    module swap cuda/11.6.1 cuda/11.7.0

Full builds that utilize external dependencies, also require setting certain environment variables as discussed below.

## Building MFIX-Exa

The commands below are the superbuild instructions, i.e., AMReX is built as part of the MFIX-Exa build process. To build MFIX-Exa with hypre, csg and/or ascent dependencies, you first need to build and install these libraries and their dependencies. Instructions on building the necessary dependencies are below and should be successfully installed first. There are two primary methods of building the code `cmake` and `gmake` which are provided seperately below.

### cmake

    cmake -DMFIX_MPI=yes \
          -DMFIX_OMP=no \
          -DMFIX_GPU_BACKEND=NONE \
          -DAMReX_TINY_PROFILE=no \
          -DMFIX_CSG=no \
          -DMFIX_HYPRE=no \
          -DCMAKE_BUILD_TYPE=Release \
          ../
    make -j8

    cmake -DMFIX_MPI=yes \
          -DMFIX_OMP=no \
          -DMFIX_CSG=no \
          -DMFIX_HYPRE=no \
          -DMFIX_GPU_BACKEND=CUDA \
          -DAMReX_CUDA_ARCH=8.0 \
          -DCMAKE_CUDA_ARCHITECTURES="80" \
          -DGPUS_PER_NODE=4 \
          -DAMReX_TINY_PROFILE=no \
          -DCMAKE_BUILD_TYPE=Release \
          ../
    make -j8

    export HYPRE_DIR=$HYPRE_INSTALL_DIR
    export HYPRE_ROOT=$HYPRE_DIR
    export HYPRE_LIBRARIES=$HYPRE_DIR/lib
    export HYPRE_INCLUDE_DIRS=$HYPRE_DIR/include

    export ASCENT_DIR=$ASCENT_INSTALL_DIR
    export CONDUIT_DIR=$ASCENT_DIR
    export CMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH:$ASCENT_DIR/lib/cmake/ascent
    export CMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH:$ASCENT_DIR/lib/cmake/conduit

    export CSG_DIR=$CSG_INSTALL_DIR
    export CMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH:$CSG_DIR

    cmake -DMFIX_MPI=yes \
          -DMFIX_OMP=no \
          -DMFIX_CSG=yes \
          -DMFIX_HYPRE=yes \
          -DAMReX_ASCENT=yes \
          -DAMReX_CONDUIT=yes \
          -DMFIX_GPU_BACKEND=NONE \
          -DAMReX_TINY_PROFILE=no \
          -DCMAKE_BUILD_TYPE=Release \
          ../
    make -j8

    export HYPRE_DIR=$HYPRE_INSTALL_DIR
    export HYPRE_ROOT=$HYPRE_DIR
    export HYPRE_LIBRARIES=$HYPRE_DIR/lib
    export HYPRE_INCLUDE_DIRS=$HYPRE_DIR/include

    export ASCENT_DIR=$ASCENT_INSTALL_DIR
    export CONDUIT_DIR=$ASCENT_DIR
    export CMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH:$ASCENT_DIR/lib/cmake/ascent
    export CMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH:$ASCENT_DIR/lib/cmake/conduit

    export CSG_DIR=$CSG_INSTALL_DIR
    export CMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH:$CSG_DIR

    cmake -DBoost_INCLUDE_DIR="$BOOST_ROOT/include" \
          -DMFIX_MPI=yes \
          -DMFIX_OMP=no \
          -DMFIX_CSG=yes \
          -DMFIX_HYPRE=yes \
          -DAMReX_ASCENT=yes \
          -DAMReX_CONDUIT=yes \
          -DMFIX_GPU_BACKEND=CUDA \
          -DAMReX_CUDA_ARCH=8.0 \
          -DCMAKE_CUDA_ARCHITECTURES="80" \
          -DGPUS_PER_SOCKET=1 \
          -DGPUS_PER_NODE=2 \
          -DAMReX_TINY_PROFILE=no \
          -DCMAKE_BUILD_TYPE=Release \
          ../
    make -j8

### gmake

    make -C exec -j8 \
         COMP=gnu \
         USE_MPI=TRUE \
         USE_OMP=FALSE \
         USE_CUDA=FALSE \
         USE_TINY_PROFILE=FALSE \
         USE_CSG=FALSE \
         USE_HYPRE=FALSE \
         DEBUG=FALSE

    make -C exec -j8
         COMP=gnu \
         USE_MPI=TRUE \
         USE_OMP=FALSE \
         USE_CUDA=TRUE \
         CUDA_ARCH=8.0 \
         USE_TINY_PROFILE=FALSE \
         USE_CSG=FALSE \
         USE_HYPRE=FALSE \
         DEBUG=FALSE

    export HYPRE_DIR=$HYPRE_INSTALL_DIR
    export HYPRE_HOME=$HYPRE_DIR

    export ASCENT_DIR=$ASCENT_INSTALL_DIR
    export CONDUIT_DIR=$ASCENT_DIR

    export CSGEB_HOME=$CSG_LIB_DIR
    export LDFLAGS="-lgmp -lmpfr -L$CSG_INSTALL_DIR/lib -Wl,-rpath=$CSG_INSTALL_DIR/lib"

    make -C exec -j8 \
         COMP=gnu \
         USE_MPI=TRUE \
         USE_OMP=FALSE \
         USE_CUDA=FALSE \
         USE_TINY_PROFILE=FALSE \
         USE_CSG=TRUE \
         USE_HYPRE=TRUE \
         USE_ASCENT=TRUE \
         USE_CONDUIT=TRUE \
         DEBUG=FALSE

    export HYPRE_DIR=$HYPRE_INSTALL_DIR
    export HYPRE_HOME=$HYPRE_DIR

    export ASCENT_DIR=$ASCENT_INSTALL_DIR
    export CONDUIT_DIR=$ASCENT_DIR

    export CSGEB_HOME=$CSG_LIB_DIR
    export LDFLAGS="-lgmp -lmpfr -L$CSG_INSTALL_DIR/lib -Wl,-rpath=$CSG_INSTALL_DIR/lib"

    make -C exec -j8 COMP=gnu \
         USE_MPI=TRUE \
         USE_OMP=FALSE \
         USE_CUDA=TRUE \
         CUDA_ARCH=8.0 \
         USE_TINY_PROFILE=FALSE \
         USE_CSG=TRUE \
         USE_HYPRE=TRUE \
         USE_ASCENT=TRUE \
         USE_CONDUIT=TRUE \
         DEBUG=FALSE

## Optional build dependencies

The following dependencies need to be built and installed prior to following any of the full build instructions above.

1. HYPRE

       git clone https://github.com/hypre-space/hypre.git
       pushd hypre/src/
       git checkout v2.26.0
       ./configure --prefix=$HYPRE_INSTALL_DIR --with-MPI
       make -j8 install
       popd

       git clone https://github.com/hypre-space/hypre.git
       pushd hypre/src/
       git checkout v2.26.0
       ./configure --prefix=$HYPRE_INSTALL_DIR \
                   --without-superlu \
                   --disable-bigint \
                   --without-openmp \
                   --with-MPI \
                   --with-cuda \
                   --with-gpu-arch='80' \
                   --with-cuda-home=$CUDA_HOME \
                   --enable-cusparse \
                   --enable-curand
       make -j8 install
       popd

2. Catch2

       git clone --depth 1 --branch v2.13.7 https://github.com/catchorg/Catch2
       pushd Catch2/
       cmake -S . -B build -DCMAKE_INSTALL_PREFIX=$CSG_INSTALL_DIR
       cd build/
       make -j8 install
       popd

3. GMP

       wget --no-check-certificate https://ftp.gnu.org/gnu/gmp/gmp-6.2.1.tar.xz
       tar -xf gmp-6.2.1.tar.xz
       pushd gmp-6.2.1
       ./configure --prefix=$CSG_INSTALL_DIR
       make -j8 install
       popd

4. MPFR

       wget --no-check-certificate https://ftp.gnu.org/gnu/mpfr/mpfr-4.1.0.tar.xz
       tar -xf mpfr-4.1.0.tar.xz
       pushd mpfr-4.1.0/
       ./configure --with-gmp=$CSG_INSTALL_DIR --prefix=$CSG_INSTALL_DIR
       make -j8 install
       popd

5. CGAL

       git clone --depth 1 --branch v5.3 https://github.com/CGAL/cgal
       pushd cgal/
       cmake -S . -B build -DCMAKE_INSTALL_PREFIX=$CSG_INSTALL_DIR
       cd build/
       make -j8 install
       popd

6. PEGTL

       git clone --branch 3.2.2 https://github.com/taocpp/PEGTL
       pushd PEGTL/
       cmake -S . -B build -DCMAKE_INSTALL_PREFIX=$CSG_INSTALL_DIR
       cd build/
       make -j8 install
       popd

7. CSG EB library (gmake)

   When building MFIX-Exa with CSG support using the `gmake` build option, you need to install `libcsgeb` to `$CSG_LIB_DIR`. This can be done using `cmake` or `gmake`, but since you are using `gmake` to build MFIX-Exa, let’s just assume you will opt for `gmake` here as well. Make sure you have boost loaded before building. (This is intended to be executed from inside the mfix repo.)

       make -C subprojects/csg-eb install DESTDIR=$CSG_LIB_DIR \
            PEGTL_HOME=$CSG_INSTALL_DIR \
            CGAL_HOME=$CSG_INSTALL_DIR \
            CATCH2_HOME=$CSG_INSTALL_DIR \
            ENABLE_CGAL=TRUE

8. Conduit

       git clone --recursive https://github.com/LLNL/conduit.git
       pushd conduit/
       git checkout v0.8.6
       mkdir build && cd build
       cmake -S ../src -DCMAKE_INSTALL_PREFIX=$ASCENT_INSTALL_DIR \
             -DENABLE_OPENMP=OFF \
             -DENABLE_MPI=ON \
             -DENABLE_CUDA=OFF \
             -DCMAKE_BUILD_TYPE=Release
       make -j8 install
       popd

9. Vtk-m

       git clone --branch master https://gitlab.kitware.com/vtk/vtk-m.git
       pushd vtk-m/
       git checkout v1.9.0
       mkdir build && cd build/
       cmake -S ../ -DCMAKE_INSTALL_PREFIX=$ASCENT_INSTALL_DIR \
             -DVTKm_ENABLE_OPENMP=OFF \
             -DVTKm_ENABLE_MPI=ON \
             -DVTKm_ENABLE_CUDA=OFF \
             -DVTKm_USE_64BIT_IDS=OFF \
             -DVTKm_USE_DOUBLE_PRECISION=ON \
             -DVTKm_USE_DEFAULT_TYPES_FOR_ASCENT=ON \
             -DVTKm_NO_DEPRECATED_VIRTUAL=ON \
             -DCMAKE_BUILD_TYPE=Release
       make -j8 install
       popd

10. Ascent

        git clone --recursive https://github.com/Alpine-DAV/ascent.git
        pushd ascent
        git checkout v0.9.0
        mkdir build && cd build/
        cmake -S ../src -DCMAKE_INSTALL_PREFIX=$ASCENT_INSTALL_DIR \
              -DCONDUIT_DIR=$ASCENT_INSTALL_DIR \
              -DVTKM_DIR=$ASCENT_INSTALL_DIR \
              -DENABLE_VTKH=ON \
              -DENABLE_FORTRAN=OFF \
              -DENABLE_PYTHON=OFF \
              -DENABLE_DOCS=OFF \
              -DBUILD_SHARED_LIBS=ON \
              -DCMAKE_BUILD_TYPE=Release \
              -DENABLE_GTEST=OFF \
              -DENABLE_TESTS=OFF
        make -j8 install
        popd

## Running Jobs

Common Slurm commands:

- `sinfo` see available/allocated resources

- `sbatch runit_cpu.sh` submit a cpu job to the queue

- `squeue -u USER` check job status of user USER

- `squeue -p PARTITION` check job status of partition PARTITION

- `scancel JOBID` kill a job with id JOBID `salloc -N 1 -p gpuA100x4 -A bbsj-delta-gpu --time=00:20:00 --exclusive --gpus-per-node=4` grab a whole GPU node interactively for 20 minutes

Example run script for GPU is below, CPU-only runs have not been tested on this machine.

    #!/bin/bash
    #SBATCH --nodes=3
    #SBATCH --exclusive
    #SBATCH --ntasks-per-node=4
    #SBATCH --cpus-per-task=16    # <- match to OMP_NUM_THREADS
    #SBATCH --partition=gpuA100x4      # <- or one of: gpuA100x4 gpuA40x4 gpuA100x8 gpuMI100x8
    #SBATCH --account=bbsj-delta-gpu
    #SBATCH --job-name=mympi
    #SBATCH --time=00:05:00      # hh:mm:ss for the job
    #SBATCH --constraint="scratch"

    ### GPU options ###
    #SBATCH --gpus-per-node=4
    #SBATCH --gpus-per-task=1
    #SBATCH --gpu-bind=closest
    #SBATCH --mail-user=first.last@institution.edu
    #SBATCH --mail-type="BEGIN,END"

    module reset
    module swap cuda/11.6.1 cuda/11.7.0
    module load boost/1.80.0
    module list

    echo "job is starting on `hostname`"

    srun -N 3 -n 12 -G 12 ./mfix inputs.rt > screen.txt