Palace, for PArallel LArge-scale Computational Electromagnetics, is an open-source, parallel finite element code for full-wave 3D electromagnetic simulations in the frequency or time domain, using the MFEM finite element discretization library and libCEED library for efficient exascale discretizations.
- Eigenmode calculations with optional material or radiative loss including lumped impedance boundaries. Automatic postprocessing of energy-participation ratios (EPRs) for circuit quantization and interface or bulk participation ratios for predicting dielectric loss.
- Frequency domain driven simulations with surface current excitation and lumped or numeric wave port boundaries. Wideband frequency response calculation using uniform frequency space sampling or an adaptive fast frequency sweep algorithm.
- Explicit or fully-implicit time domain solver for transient electromagnetic analysis.
- Lumped capacitance and inductance matrix extraction via electrostatic and magnetostatic problem formulations.
- Support for a wide range of mesh file formats for structured and unstructured meshes, with built-in uniform or region-based parallel mesh refinement.
- Solution-based Adaptive Mesh Refinement (AMR) for all simulation types aside from transient. Nonconformal refinement is supported for all mesh types, and conformal refinement for simplex meshes.
- Arbitrary high-order finite element spaces and curvilinear mesh support thanks to the MFEM library.
- Scalable algorithms for the solution of linear systems of equations, including
matrix-free
$p$ -multigrid utilizing high-order operator partial assembly, parallel sparse direct solvers, and algebraic multigrid (AMG) preconditioners, for fast performance on platforms ranging from laptops to HPC systems. - Support for hardware acceleration using NVIDIA or AMD GPUs, including multi-GPU parallelism, using pure CUDA and HIP code as well as MAGMA and other libraries.
Palace can be installed using the Spack HPC package manager, with the
command spack install palace. Run spack info palace to get more information about the
available configuration options and dependencies.
Those wishing to work in a containerized environment may use the Singularity/Apptainer
recipe for Palace in singularity/ to build a container containing
Palace and all its dependencies.
Finally, instructions for obtaining Palace and building from source can be found in the documentation. As part of the CMake build process, most dependencies are downloaded and installed automatically and thus an internet connection is required.
System requirements:
- CMake version 3.21 or later
- C++17 compatible C++ compiler
- C and Fortran (optional) compilers for dependency builds
- MPI distribution
- BLAS, LAPACK libraries
- CUDA Toolkit or ROCm installation (optional, for GPU support only)
https://awslabs.github.io/palace/
The documentation for Palace provides full instructions for building the solver and running electromagnetic simulations.
To build a local version of the documentation, run julia make.jl from within the
docs/ directory.
Some example applications including configuration files and meshes can be found in the
examples/ directory. Complete tutorials for each example are available in
the documentation.
Check out the changelog.
We welcome contributions to Palace including bug fixes, feature requests, etc. To get started, check out our contributing guidelines.
Palace is developed by the Design and Simulation group in the AWS Center for Quantum Computing (CQC). Please contact the development team at palace-maint@amazon.com with any questions or comments, or open an issue.
This project is licensed under the Apache-2.0 License.