Users¶
Our community is here to help. Please report installation problems in case you should get stuck.
Choose one of the installation methods below to get started:
HPC Systems¶
If want to use WarpX on a specific high-performance computing (HPC) systems, jump directly to our HPC system-specific documentation.
Using the Conda Package¶
A package for WarpX is available via the Conda package manager.
conda create -n warpx -c conda-forge warpx
conda activate warpx
Note: the warpx
conda package does not yet provide GPU support.
Using the Spack Package¶
Packages for WarpX are available via the Spack package manager.
The package warpx
installs executables and the package py-warpx
includes Python bindings, i.e. PICMI.
# optional: -mpi ^warpx dims=2 compute=cuda
spack install py-warpx
spack load py-warpx
See spack info warpx
or spack info py-warpx
and the official Spack tutorial for more information.
Using the PyPI Package¶
Given that you have the WarpX dependencies installed, you can use pip
to install WarpX with PICMI from source:
# optional: --user
python3 -m pip install -U pip setuptools wheel
python3 -m pip install -U cmake
python3 -m pip wheel -v git+https://github.com/ECP-WarpX/WarpX.git
# optional: --user
python3 -m pip install *whl
In the future, will publish pre-compiled binary packages on PyPI for faster installs. (Consider using conda in the meantime.)
From Source with CMake¶
After installing the WarpX dependencies, you can also install WarpX from source with CMake:
# get the source code
git clone https://github.com/ECP-WarpX/WarpX.git $HOME/src/warpx
cd $HOME/src/warpx
# configure
cmake -S . -B build
# optional: change configuration
ccmake build
# compile
# on Windows: --config RelWithDebInfo
cmake --build build -j 4
# executables for WarpX are now in build/bin/
We document the details in the developer installation.
Tips for macOS Users¶
Tip
Before getting started with package managers, please check what you manually installed in /usr/local
.
If you find entries in bin/
, lib/
et al. that look like you manually installed MPI, HDF5 or other software in the past, then remove those files first.
If you find software such as MPI in the same directories that are shown as symbolic links then it is likely you brew installed software before.
If you are trying annother package manager than brew
, run brew unlink … on such packages first to avoid software incompatibilities.
See also: A. Huebl, Working With Multiple Package Managers, Collegeville Workshop (CW20), 2020