[Problem] Ubuntu installation attempt conflicts with libscotchmetis-dev

[ACREtheMaker]

When I try to install ElmerFEM-CSC on Ubuntu (running on WSL2 Windows 11) using ppa:elmer-csc-ubuntu/elmer-csc-ppa it wants to install libmetis-dev which will force remove libscotchmetis-dev that other programs need. Isn't it possible to use libscotchmetis-dev or better libscotchparmetis-dev to replace this functionality?

Will I run into problems if I try to compile from source myself using libscotchmetis-dev or libscotchparmetis-dev?

If not, please consider uploading compiled versions of both setups on ppa:elmer-csc-ubuntu/elmer-csc-ppa

[ACREtheMaker]

Seems like the source code is not yet updated to make use of scothparmetis and scotchmetis so I compiled a local version of libparmetis that I linked to a compilation of ElmerFEM. For anyone interested here are the steps I followed:

1. I am running Ubuntu 22.04lts on WSL2 Windows 11
2. install all required libraries using the ubuntu Launchpad repositories as explained here except do NOT install libparmetis-dev. I will assume you will use the "-int64" indexing variation of the libraries as I have.
3. go into /usr/local: cd /usr/local
4. make a bash script called make_elmerfem.sh and copy in the following script:

#!/bin/bash

# Get ElmerFEM source code
srcdir=$(pwd)/elmerfem
builddir=${srcdir}/build
git clone --recursive https://github.com/ElmerCSC/elmerfem.git elmerfem

# Get ParMetis source code for local build, all other dependencies manually installed using apt or synaptic for ubuntu
parmetis_srcdir=$(pwd)/elmerfem/parmetis
parmetis_installdir=${parmetis_srcdir}/install-int64
git clone --recursive https://git.launchpad.net/ubuntu/+source/parmetis elmerfem/parmetis

# select 64-bit indexing and double precision real numbers
sed -i -e "s/#define IDXTYPEWIDTH 32/#define IDXTYPEWIDTH 64/g" ${srcdir}/elmergrid/src/metis-5.1.0/include/metis.h
sed -i -e "s/#define IDXTYPEWIDTH 32/#define IDXTYPEWIDTH 64/g" ${parmetis_srcdir}/metis/include/metis.h
sed -i -e "s/#define REALTYPEWIDTH 32/#define REALTYPEWIDTH 64/g" ${srcdir}/elmergrid/src/metis-5.1.0/include/metis.h
sed -i -e "s/#define REALTYPEWIDTH 32/#define REALTYPEWIDTH 64/g" ${parmetis_srcdir}/metis/include/metis.h

# Build parmetis
cd ${parmetis_srcdir}
make config openmp=ON prefix=${parmetis_installdir} 
make openmp=ON prefix=${parmetis_installdir} install

# Collect parmetis dependencies for ElmerFEM
parmetis_lib_dir=${parmetis_installdir}/lib
parmetis_lib=${parmetis_lib_dir}/libparmetis.a
parmetis_include_dir=${parmetis_installdir}/include

# Build ElmerFEM
mkdir -p ${builddir}
cd ${builddir}

#FC=gfortran CC=gcc CXX=g++ LDFLAGS="-m64" FCLAGS="-m64 -fallow-argument-mismatch" FFLAGS="-m64 -fallow-argument-mismatch -fallow-invalid-boz" cmake \
cmake \
	-S ${srcdir} \
	-B ${builddir} \
	-DCMAKE_INSTALL_PREFIX=install \
	-DCMAKE_BUILD_TYPE=Release \
	-DWITH_QT5=TRUE \
	-DWITH_ELMERGUI:BOOL=TRUE \
	-DWITH_OpenMP:BOOLEAN=TRUE \
	-DWITH_MPI:BOOL=TRUE \
	-DWITH_Mumps:BOOL=TRUE \
	-DWITH_LUA:BOOL=TRUE \
	-DMetis_INCLUDE_DIR=/usr/include/metis-int64 \
	-DMetis_LIBRARIES=/usr/lib/x86_64-linux-gnu/metis-int64/libmetis.a \
	-DParMetis_INCLUDE_DIR=${parmetis_include_dir} \
	-DParMetis_LIBRARIES=${parmetis_lib} \
	-DCMAKE_CUDA_FLAGS="-cudart shared" \
	-DCUDA_USE_STATIC_CUDA_RUNTIME=OFF \
	-DCMAKE_C_FLAGS="-m64 -DARCH-D_GNU_SOURCE -pthread -fopenmp -I/opt/nvidia/hpc_sdk/Linux_x86_64/2024/cuda/include -I/opt/nvidia/hpc_sdk/Linux_x86_64/2024/math_libs/include" \
	-DCMAKE_CXX_FLAGS="-m64 -Wno-deprecated-declarations" \
	..

# Install ElmerFEM
make -j install 
mkdir -p /usr/local/bin/ElmerFEM
ln -sf /usr/local/elmerfem/build/install/bin/* /usr/local/bin/ElmerFEM/.

5. make sure there is no folder call "/usr/local/elmerfem" or delete it first.
6. run the compilation script: sudo bash make_elmerfem.sh
7. if all goes well there should be binaries in /usr/local/bin/ElmerFEM/
8. run the ElmerGUI binary depending on how your environmental variable PATH is setup: ElmerFEM/ElmerGUI

[ghost]

this seems to work for me

# Download CUDA pin file
#wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin
#sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600

# Download CUDA repository package
#wget https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda-repo-wsl-ubuntu-12-4-local_12.4.0-1_amd64.deb

'''

# Update package lists
sudo apt update

# Upgrade packages
sudo apt upgrade -y
sudo apt dist-upgrade -y
sudo apt full-upgrade -y

sudo apt install software-properties-common
sudo add-apt-repository ppa:ubuntu-toolchain-r/test

sudo dpkg --configure -

sudo apt update

sudo apt install gcc-12 g++-12 gcc-13 g++-13 -y

sudo dpkg --configure -

sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 12 --slave /usr/bin/g++ g++ /usr/bin/g++-12
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-13 13 --slave /usr/bin/g++ g++ /usr/bin/g++-13

sudo dpkg --configure -

sudo update-alternatives --config gcc

sudo dpkg --configure -

gcc --version

sudo apt install build-essential
sudo apt install libmpfr-dev libgmp3-dev libmpc-dev -y
wget http://ftp.gnu.org/gnu/gcc/gcc-13.2.0/gcc-13.2.0.tar.gz
#tar -xf gcc-13.2.0.tar.gz

sudo dpkg --configure -

cd gcc-13.2.0

sudo dpkg --configure -

./configure -v --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu --prefix=/usr/local/gcc-13.2.0 --enable-checking=release --enable-languages=c,c++ --disable-multilib --program-suffix=-13.2.0

sudo dpkg --configure -

make -j3
sudo make install

sudo dpkg --configure -

/usr/local/gcc-13.2.0/bin/gcc-13.2.0 --version

sudo dpkg --configure -

# Install required packages
sudo apt install -y \
    libxkbcommon0=1.6.0-1 \
    fakeroot \
    libalgorithm-merge-perl \
    g++=4:13.2.0-7 \
    cpp-x86-64-linux-gnu=4:13.2.0-7 \
    g++-13>=13.2.0-11 \
    g++-x86-64-linux-gnu=4:13.2.0-7 \
    gcc-13>=13.2.0-11 \
    gcc=4:13.2.0-7 \
    gcc-x86-64-linux-gnu=4:13.2.0-7 \
    libglvnd0=1.7.0-1 \
    lto-disabled-list \
    openjdk-17-jre-headless=17.0.10+7-1~22.04.1 \
    libatk-wrapper-java-jni>=0.30.4-0ubuntu2 \
    cpp=4:13.2.0-7 \
    cpp-x86-64-linux-gnu=4:13.2.0-7 \
    g++-13>=13.2.0-11~ \
    g++-x86-64-linux-gnu=4:13.2.0-7 \ 
    gcc-13>=13.2.0-11~ \
    gcc=4:13.2.0-7 \
    cpp-x86-64-linux-gnu=4:13.2.0-7 \ 
    gcc-13>=13.2.0-11~ \
    gcc-x86-64-linux-gnu=4:13.2.0-7 \ 
    openjdk-17-jre-headless=17.0.10+7-1~22.04.1 \
    libatk-wrapper-java-jni>=0.30.4-0ubuntu2

'''

# Install CUDA repository
sudo dpkg -i cuda-repo-wsl-ubuntu-12-4-local_12.4.0-1_amd64

# Copy CUDA keyring
sudo cp /var/cuda-repo-wsl-ubuntu-12-4-local/cuda-*-keyring.gpg /usr/share/keyrings/

# Update package lists
sudo apt-get update

# Install CUDA toolkit
sudo apt-get -y install cuda-toolkit-12-4

# Install pycuda (optional)
#sudo pip3 install pycuda