P4est_wrapper

Julia wrappers for p4est library (Parallel AMR on Forests of Octrees)

Basic Usage

using MPI
using P4est_wrapper
using Test

sc_init(MPI.COMM_WORLD, Cint(true), Cint(true), C_NULL, P4est_wrapper.SC_LP_DEFAULT)
p4est_init(C_NULL, P4est_wrapper.SC_LP_DEFAULT)
unitsquare_connectivity = p4est_connectivity_new_unitsquare() 
unitsquare_forest = p4est_new(MPI.COMM_WORLD, unitsquare_connectivity, 0, C_NULL, C_NULL) 
...
p4est_destroy(unitsquare_forest)
p4est_connectivity_destroy(unitsquare_connectivity)
sc_finalize()

MPI.Finalize()

Installation

P4est_wrapper.jl itself is installed when you add and use it into another project.

Please, ensure that your system fulfill the requirements.

To include into your project form Julia REPL, use the following commands:

pkg> add P4est_wrapper
julia> using P4est_wrapper

If, for any reason, you need to manually build the project, write down the following commands in Julia REPL:

pkg> add P4est_wrapper
pkg> build P4est_wrapper
julia> using P4est_wrapper

Requirements

p4est >= 2.2
MPI

P4est_wrapper julia package requires p4est library (Parallel AMR on Forests of Octrees), and (optionally) MPI to work correctly.

Latests versions of julia MPI use artifacts to locally install a MPI distribution. You should take care with the compatibility (version/vendor/distribution) between the parallel p4est and MPI libraries. If you want julia MPI library to wrap your local MPI library, you must use the MPIPreferences package.
Parallel p4est library can be manually installed in a custom path on your local machine. In order to succesfull describe your custom installation to be discovered by P4est_wrapper, you must export P4EST_ROOT_DIR environment variable pointing to the installation directory. If this environment variable is not available, and julia >= 1.3, P4est_wrapper will try to use P4est_jll artifact, but you should take into account that this artifact is not for parallel computations (MPI not enabled). Finally, in other case P4est_wrapper will try to find the p4est library in the usual linux user library directory (/usr/lib).

Basic OpenMPI installation in debian based systems

MPI can be obtained from the default repositories of your Debian-based OS by means of apt tool.

Basic MPI installation in order to use it from P4est_wrapper julia package is as follows:

apt-get update
apt-get openmpi-bin libpenmpi3 libopenmpi-dev
export JULIA_MPI_BINARY="system"

p4est 2.2 installation in linux based systems

To install p4est in your local machine, you can use the following shell script:

# Install p4est 2.2 from sources
CURR_DIR=$(pwd)
PACKAGE=p4est
VERSION=2.2
INSTALL_ROOT=/opt
P4EST_INSTALL=$INSTALL_ROOT/$PACKAGE/$VERSION
TAR_FILE=$PACKAGE-$VERSION.tar.gz
URL="https://github.com/p4est/p4est.github.io/raw/master/release"
ROOT_DIR=/tmp
SOURCES_DIR=$ROOT_DIR/$PACKAGE-$VERSION
BUILD_DIR=$SOURCES_DIR/build
wget -q $URL/$TAR_FILE -O $ROOT_DIR/$TAR_FILE
mkdir -p $SOURCES_DIR
tar xzf $ROOT_DIR/$TAR_FILE -C $SOURCES_DIR --strip-components=1
cd $SOURCES_DIR
./configure --prefix=$P4EST_INSTALL --without-blas --without-lapack --enable-mpi --disable-dependency-tracking
make --quiet
make --quiet install
rm -rf $ROOT_DIR/$TAR_FILE $SOURCES_DIR
export P4EST_ROOT_DIR=$P4EST_INSTALL
cd $CURR_DIR

Note: you need the following tools:

wget
tar
make

Automated p4est wrapper generator

P4est_wrapper bindings are automatically generated by using Clang package.

To learn more about how it works, please read the README file at gen directory.

Known issues

deps/build.jl script issue with Julia 1.8.0. See issue #15

gridap / P4est_wrapper.jl

readme