Merge remote-tracking branch 'mainline/development' into hackathon-fi…

…eld-register

Docs/source/install/hpc.rst

@@ -43,6 +43,7 @@ This section documents quick-start guides for a selection of supercomputers that
    hpc/lassen
    hpc/lawrencium
    hpc/leonardo
+   hpc/lonestar6
    hpc/lumi
    hpc/lxplus
    hpc/ookami

Docs/source/install/hpc/lonestar6.rst

@@ -0,0 +1,139 @@
+.. _building-lonestar6:
+
+Lonestar6 (TACC)
+================
+
+The `Lonestar6 cluster <https://portal.tacc.utexas.edu/user-guides/lonestar6>`_ is located at `TACC <https://www.tacc.utexas.edu>`__.
+
+
+Introduction
+------------
+
+If you are new to this system, **please see the following resources**:
+
+* `TACC user guide <https://portal.tacc.utexas.edu/user-guides/>`__
+* Batch system: `Slurm <https://portal.tacc.utexas.edu/user-guides/lonestar6#job-management>`__
+* `Jupyter service <https://tacc.github.io/ctls2017/docs/intro_to_python/intro_to_python_011_jupyter.html>`__
+* `Filesystem directories <https://portal.tacc.utexas.edu/user-guides/lonestar6#managing-files-on-lonestar6>`__:
+
+  * ``$HOME``: per-user home directory, backed up (10 GB)
+  * ``$WORK``: per-user production directory, not backed up, not purged, Lustre (1 TB)
+  * ``$SCRATCH``: per-user production directory, not backed up, purged every 10 days, Lustre (no limits, 8PByte total)
+
+
+Installation
+------------
+
+Use the following commands to download the WarpX source code and switch to the correct branch:
+
+.. code-block:: bash
+
+   git clone https://github.com/ECP-WarpX/WarpX.git $WORK/src/warpx
+
+We use system software modules, add environment hints and further dependencies via the file ``$HOME/lonestar6_warpx_a100.profile``.
+Create it now:
+
+.. code-block:: bash
+
+   cp $HOME/src/warpx/Tools/machines/lonestar6-tacc/lonestar6_warpx_a100.profile.example $HOME/lonestar6_warpx_a100.profile
+
+.. dropdown:: Script Details
+   :color: light
+   :icon: info
+   :animate: fade-in-slide-down
+
+   .. literalinclude:: ../../../../Tools/machines/lonestar6-tacc/lonestar6_warpx_a100.profile.example
+      :language: bash
+
+Edit the 2nd line of this script, which sets the ``export proj=""`` variable.
+For example, if you are member of the project ``abcde``, then run ``nano $HOME/lonestar6_warpx_a100.profile`` and edit line 2 to read:
+
+.. code-block:: bash
+
+   export proj="abcde"
+
+Exit the ``nano`` editor with ``Ctrl`` + ``O`` (save) and then ``Ctrl`` + ``X`` (exit).
+
+.. important::
+
+   Now, and as the first step on future logins to Lonestar6, activate these environment settings:
+
+   .. code-block:: bash
+
+      source $HOME/lonestar6_warpx_a100.profile
+
+Finally, since Lonestar6 does not yet provide software modules for some of our dependencies, install them once:
+
+.. code-block:: bash
+
+   bash $HOME/src/warpx/Tools/machines/lonestar6-tacc/install_a100_dependencies.sh
+   source ${SW_DIR}/venvs/warpx-a100/bin/activate
+
+.. dropdown:: Script Details
+   :color: light
+   :icon: info
+   :animate: fade-in-slide-down
+
+   .. literalinclude:: ../../../../Tools/machines/lonestar6-tacc/install_a100_dependencies.sh
+      :language: bash
+
+
+.. _building-lonestar6-compilation:
+
+Compilation
+-----------
+
+Use the following :ref:`cmake commands <building-cmake>` to compile the application executable:
+
+.. code-block:: bash
+
+   cd $HOME/src/warpx
+   rm -rf build_pm_gpu
+
+   cmake -S . -B build_gpu -DWarpX_COMPUTE=CUDA -DWarpX_FFT=ON -DWarpX_HEFFTE=ON -DWarpX_QED_TABLE_GEN=ON -DWarpX_DIMS="1;2;RZ;3"
+   cmake --build build_gpu -j 16
+
+The WarpX application executables are now in ``$HOME/src/warpx/build_gpu/bin/``.
+Additionally, the following commands will install WarpX as a Python module:
+
+.. code-block:: bash
+
+   cd $HOME/src/warpx
+   rm -rf build_pm_gpu_py
+
+   cmake -S . -B build_gpu_py -DWarpX_COMPUTE=CUDA -DWarpX_FFT=ON -DWarpX_HEFFTE=ON -DWarpX_QED_TABLE_GEN=ON -DWarpX_APP=OFF -DWarpX_PYTHON=ON -DWarpX_DIMS="1;2;RZ;3"
+   cmake --build build_gpu_py -j 16 --target pip_install
+
+Now, you can :ref:`submit Lonestar6 compute jobs <running-cpp-lonestar6>` for WarpX :ref:`Python (PICMI) scripts <usage-picmi>` (:ref:`example scripts <usage-examples>`).
+Or, you can use the WarpX executables to submit Lonestar6 jobs (:ref:`example inputs <usage-examples>`).
+For executables, you can reference their location in your :ref:`job script <running-cpp-lonestar6>` or copy them to a location in ``$WORK`` or ``$SCRATCH``.
+
+
+.. _running-cpp-lonestar6:
+
+Running
+-------
+
+.. _running-cpp-lonestar6-A100-GPUs:
+
+A100 GPUs (40 GB)
+^^^^^^^^^^^^^^^^^
+
+`84 GPU nodes, each with 2 A100 GPUs (40 GB) <https://portal.tacc.utexas.edu/user-guides/lonestar6#system-gpu>`__.
+
+The batch script below can be used to run a WarpX simulation on multiple nodes (change ``-N`` accordingly) on the supercomputer lonestar6 at tacc.
+Replace descriptions between chevrons ``<>`` by relevant values, for instance ``<input file>`` could be ``plasma_mirror_inputs``.
+Note that we run one MPI rank per GPU.
+
+
+.. literalinclude:: ../../../../Tools/machines/lonestar6-tacc/lonestar6_a100.sbatch
+   :language: bash
+   :caption: You can copy this file from ``Tools/machines/lonestar6-tacc/lonestar6_a100.sbatch``.
+
+To run a simulation, copy the lines above to a file ``lonestar6.sbatch`` and run
+
+.. code-block:: bash
+
+   sbatch lonestar6_a100.sbatch
+
+to submit the job.

Examples/Tests/magnetostatic_eb/inputs_test_3d_magnetostatic_eb_picmi.py

@@ -225,7 +225,7 @@ def Er_an(r):
 
 er_err = np.abs(Er_mean[r_idx] - Er_an(r_sub)).max() / np.abs(Er_an(r_sub)).max()
 
-plt.ylabel("$E_r$ (V/m)")
+plt.ylabel(r"$E_r$ (V/m)")
 plt.xlabel("r (m)")
 plt.title("Max % Error: {} %".format(er_err * 100.0))
 plt.tight_layout()

Examples/Tests/magnetostatic_eb/inputs_test_rz_magnetostatic_eb_picmi.py

@@ -195,7 +195,7 @@ def Er_an(r):
 
 er_err = np.abs(Er_mean[r_idx] - Er_an(r_sub)).max() / np.abs(Er_an(r_sub)).max()
 
-plt.ylabel("$E_r$ (V/m)")
+plt.ylabel(r"$E_r$ (V/m)")
 plt.xlabel("r (m)")
 plt.title("Max % Error: {} %".format(er_err * 100.0))
 plt.tight_layout()

Tools/machines/hpc3-uci/hpc3_gpu_warpx.profile.example

@@ -6,7 +6,7 @@ export MY_PROFILE=$(cd $(dirname $BASH_SOURCE) && pwd)"/"$(basename $BASH_SOURCE
 if [ -z ${proj-} ]; then echo "WARNING: The 'proj' variable is not yet set in your $MY_PROFILE file! Please edit its line 2 to continue!"; return; fi
 
 # required dependencies
-module load cmake/3.22.1  # we need 3.24+ - installing via pipx until module is available
+module load cmake/3.30.2
 module load gcc/11.2.0
 module load cuda/11.7.1
 module load openmpi/4.1.2/gcc.11.2.0

Tools/machines/hpc3-uci/install_gpu_dependencies.sh

@@ -119,7 +119,6 @@ python3 -m pip install --upgrade packaging
 python3 -m pip install --upgrade wheel
 python3 -m pip install --upgrade setuptools
 python3 -m pip install --upgrade pipx
-python3 -m pipx install --upgrade cmake
 python3 -m pip install --upgrade cython
 python3 -m pip install --upgrade numpy
 python3 -m pip install --upgrade pandas

Tools/machines/lonestar6-tacc/install_a100_dependencies.sh

@@ -0,0 +1,168 @@
+#!/bin/bash
+#
+# Copyright 2023 The WarpX Community
+#
+# This file is part of WarpX.
+#
+# Author: Axel Huebl
+# License: BSD-3-Clause-LBNL
+
+# Exit on first error encountered #############################################
+#
+set -eu -o pipefail
+
+
+# Check: ######################################################################
+#
+#   Was lonestar6_warpx_a100.profile sourced and configured correctly?
+if [ -z ${proj-} ]; then echo "WARNING: The 'proj' variable is not yet set in your lonestar6_warpx_a100.profile file! Please edit its line 2 to continue!"; exit 1; fi
+
+
+# Remove old dependencies #####################################################
+#
+SW_DIR="${WORK}/sw/lonestar6/sw/lonestar6/a100"
+rm -rf ${SW_DIR}
+mkdir -p ${SW_DIR}
+
+# remove common user mistakes in python, located in .local instead of a venv
+python3 -m pip uninstall -qq -y pywarpx
+python3 -m pip uninstall -qq -y warpx
+python3 -m pip uninstall -qqq -y mpi4py 2>/dev/null || true
+
+
+# General extra dependencies ##################################################
+#
+
+# tmpfs build directory: avoids issues often seen with $HOME and is faster
+build_dir=$(mktemp -d)
+
+# c-blosc (I/O compression)
+if [ -d $HOME/src/c-blosc ]
+then
+  cd $HOME/src/c-blosc
+  git fetch --prune
+  git checkout v1.21.1
+  cd -
+else
+  git clone -b v1.21.1 https://github.com/Blosc/c-blosc.git $HOME/src/c-blosc
+fi
+rm -rf $HOME/src/c-blosc-a100-build
+cmake -S $HOME/src/c-blosc -B ${build_dir}/c-blosc-a100-build -DBUILD_TESTS=OFF -DBUILD_BENCHMARKS=OFF -DDEACTIVATE_AVX2=OFF -DCMAKE_INSTALL_PREFIX=${SW_DIR}/c-blosc-1.21.1
+cmake --build ${build_dir}/c-blosc-a100-build --target install --parallel 16
+rm -rf ${build_dir}/c-blosc-a100-build
+
+# ADIOS2
+if [ -d $HOME/src/adios2 ]
+then
+  cd $HOME/src/adios2
+  git fetch --prune
+  git checkout v2.8.3
+  cd -
+else
+  git clone -b v2.8.3 https://github.com/ornladios/ADIOS2.git $HOME/src/adios2
+fi
+rm -rf $HOME/src/adios2-a100-build
+cmake -S $HOME/src/adios2 -B ${build_dir}/adios2-a100-build -DADIOS2_USE_Blosc=ON -DADIOS2_USE_Fortran=OFF -DADIOS2_USE_Python=OFF -DADIOS2_USE_ZeroMQ=OFF -DCMAKE_INSTALL_PREFIX=${SW_DIR}/adios2-2.8.3
+cmake --build ${build_dir}/adios2-a100-build --target install -j 16
+rm -rf ${build_dir}/adios2-a100-build
+
+# BLAS++ (for PSATD+RZ)
+if [ -d $HOME/src/blaspp ]
+then
+  cd $HOME/src/blaspp
+  git fetch --prune
+  git checkout v2024.05.31
+  cd -
+else
+  git clone -b v2024.05.31 https://github.com/icl-utk-edu/blaspp.git $HOME/src/blaspp
+fi
+rm -rf $HOME/src/blaspp-a100-build
+cmake -S $HOME/src/blaspp -B ${build_dir}/blaspp-a100-build -Duse_openmp=OFF -Dgpu_backend=cuda -DCMAKE_CXX_STANDARD=17 -DCMAKE_INSTALL_PREFIX=${SW_DIR}/blaspp-2024.05.31
+cmake --build ${build_dir}/blaspp-a100-build --target install --parallel 16
+rm -rf ${build_dir}/blaspp-a100-build
+
+# LAPACK++ (for PSATD+RZ)
+if [ -d $HOME/src/lapackpp ]
+then
+  cd $HOME/src/lapackpp
+  git fetch --prune
+  git checkout v2024.05.31
+  cd -
+else
+  git clone -b v2024.05.31 https://github.com/icl-utk-edu/lapackpp.git $HOME/src/lapackpp
+fi
+rm -rf $HOME/src/lapackpp-a100-build
+CXXFLAGS="-DLAPACK_FORTRAN_ADD_" cmake -S $HOME/src/lapackpp -B ${build_dir}/lapackpp-a100-build -DCMAKE_CXX_STANDARD=17 -Dbuild_tests=OFF -DCMAKE_INSTALL_RPATH_USE_LINK_PATH=ON -DCMAKE_INSTALL_PREFIX=${SW_DIR}/lapackpp-2024.05.31
+cmake --build ${build_dir}/lapackpp-a100-build --target install --parallel 16
+rm -rf ${build_dir}/lapackpp-a100-build
+
+# heFFTe
+if [ -d $HOME/src/heffte ]
+then
+  cd $HOME/src/heffte
+  git fetch --prune
+  git checkout v2.4.0
+  cd -
+else
+  git clone -b v2.4.0 https://github.com/icl-utk-edu/heffte.git ${HOME}/src/heffte
+fi
+rm -rf ${HOME}/src/heffte-a100-build
+cmake \
+    -S ${HOME}/src/heffte               \
+    -B ${build_dir}/heffte-a100-build \
+    -DBUILD_SHARED_LIBS=ON              \
+    -DCMAKE_BUILD_TYPE=Release          \
+    -DCMAKE_CXX_STANDARD=17             \
+    -DCMAKE_INSTALL_RPATH_USE_LINK_PATH=ON  \
+    -DCMAKE_INSTALL_PREFIX=${SW_DIR}/heffte-2.4.0  \
+    -DHeffte_DISABLE_GPU_AWARE_MPI=OFF  \
+    -DHeffte_ENABLE_AVX=OFF             \
+    -DHeffte_ENABLE_AVX512=OFF          \
+    -DHeffte_ENABLE_FFTW=OFF            \
+    -DHeffte_ENABLE_CUDA=ON             \
+    -DHeffte_ENABLE_ROCM=OFF            \
+    -DHeffte_ENABLE_ONEAPI=OFF          \
+    -DHeffte_ENABLE_MKL=OFF             \
+    -DHeffte_ENABLE_DOXYGEN=OFF         \
+    -DHeffte_SEQUENTIAL_TESTING=OFF     \
+    -DHeffte_ENABLE_TESTING=OFF         \
+    -DHeffte_ENABLE_TRACING=OFF         \
+    -DHeffte_ENABLE_PYTHON=OFF          \
+    -DHeffte_ENABLE_FORTRAN=OFF         \
+    -DHeffte_ENABLE_SWIG=OFF            \
+    -DHeffte_ENABLE_MAGMA=OFF
+cmake --build ${build_dir}/heffte-a100-build --target install --parallel 16
+rm -rf ${build_dir}/heffte-a100-build
+
+
+# Python ######################################################################
+#
+python3 -m pip install --upgrade pip
+python3 -m pip install --upgrade virtualenv
+python3 -m pip cache purge
+rm -rf ${SW_DIR}/venvs/warpx-a100
+python3 -m venv ${SW_DIR}/venvs/warpx-a100
+source ${SW_DIR}/venvs/warpx-a100/bin/activate
+python3 -m pip install --upgrade pip
+python3 -m pip install --upgrade build
+python3 -m pip install --upgrade packaging
+python3 -m pip install --upgrade wheel
+python3 -m pip install --upgrade setuptools
+python3 -m pip install --upgrade cython
+python3 -m pip install --upgrade numpy
+python3 -m pip install --upgrade pandas
+python3 -m pip install --upgrade scipy
+python3 -m pip install --upgrade mpi4py --no-cache-dir --no-build-isolation --no-binary mpi4py
+python3 -m pip install --upgrade openpmd-api
+python3 -m pip install --upgrade matplotlib
+python3 -m pip install --upgrade yt
+# install or update WarpX dependencies
+python3 -m pip install --upgrade -r $HOME/src/warpx/requirements.txt
+#python3 -m pip install --upgrade cupy-cuda12x  # CUDA 12 compatible wheel
+# optimas (based on libEnsemble & ax->botorch->gpytorch->pytorch)
+#python3 -m pip install --upgrade torch  # CUDA 12 compatible wheel
+#python3 -m pip install --upgrade optimas[all]
+
+
+# remove build temporary directory
+rm -rf ${build_dir}

Tools/machines/lonestar6-tacc/lonestar6_a100.sbatch

@@ -0,0 +1,41 @@
+#!/bin/bash -l
+
+# Copyright 2021-2022 Axel Huebl, Kevin Gott
+#
+# This file is part of WarpX.
+#
+# License: BSD-3-Clause-LBNL
+
+#SBATCH -t 00:10:00
+#SBATCH -N 2
+#SBATCH -J WarpX
+#    note: <proj> must end on _g
+#SBATCH -A <proj>
+#SBATCH -q regular
+#SBATCH -C gpu
+#SBATCH --exclusive
+#SBATCH --gpu-bind=none
+#SBATCH --gpus-per-node=4
+#SBATCH -o WarpX.o%j
+#SBATCH -e WarpX.e%j
+
+# executable & inputs file or python interpreter & PICMI script here
+EXE=./warpx
+INPUTS=inputs_small
+
+# pin to closest NIC to GPU
+export MPICH_OFI_NIC_POLICY=GPU
+
+# threads for OpenMP and threaded compressors per MPI rank
+export SRUN_CPUS_PER_TASK=32
+
+# depends on https://github.com/ECP-WarpX/WarpX/issues/2009
+#GPU_AWARE_MPI="amrex.the_arena_is_managed=0 amrex.use_gpu_aware_mpi=1"
+GPU_AWARE_MPI=""
+
+# CUDA visible devices are ordered inverse to local task IDs
+#   Reference: nvidia-smi topo -m
+srun --cpu-bind=cores bash -c "
+    export CUDA_VISIBLE_DEVICES=\$((3-SLURM_LOCALID));
+    ${EXE} ${INPUTS} ${GPU_AWARE_MPI}" \
+  > output.txt