These installation instruction are aimed at developers that aren't very familiar with installing C/C++ software and using CMake on Linux.

Obtaining CMake

You'll need a compiler and CMake. We'll assume that a reasonably modern C++ compiler is available. Often a sufficiently new version CMake is also present on the system.

If not, there's two options: use the system package manager or use pip. CMake is improving in leaps and bounds. Which means you want a recent version. We suggest reconsidering fighting an older version of CMake if you can simply install the newest version via pip.

Obtaining HDF5

First, you need to decide if you need MPI-support. Rule of thumb is: if you're unsure, then you don't need it. If you need MPI you must install an MPI-enabled version of HDF5. Otherwise pick either one, if something is already installed, e.g. because h5py was installed as a system package, stick with that version.

The options for installing HDF5 are:

Use the system package manager.
On a cluster use modules.
Use Spack.
Use Conan.
Manually install it.

The system package manager will install HDF5 in a default location, were CMake will later be able to find it without further help. All the other approaches install into a non-default location and CMake might need help locating HDF5. The way one tells CMake where to find HDF5 is through CMAKE_PREFIX_PATH, e.g.,

cmake -DCMAKE_PREFIX_PATH="${HDF5_ROOT}" ...

Note that ${HDF5_ROOT} points to the folder which contains the two folders include and lib.

System Package Manager

The default choice is to use the system package manager to install HDF5. One thing to keep an eye out is that certain Linux distributions don't install the headers automatically. Since you're about to develop an application which (indirectly) uses HDF5, you need those headers. If the packages are split, the development package is often suffixed with -dev or -devel.

Ubuntu

The package manager is apt. To install the HDF5 C library without MPI support:

sudo apt-get install libhdf5-dev

for MPI support you'd install libhdf5-openmpi-dev.

ArchLinux

On ArchLinux you install

sudo pacman -S hdf5

or hdf5-openmpi for HDF5 with OpenMPI support.

Using Modules

If you're on a cluster, HDF5 has almost certainly been installed for you. Figure out how to use it. This is the preferred solution on clusters. As always, the precise instructions depend on the cluster, but something like

module load hdf5

will probably be part of the solution. Try if module avail helps. Otherwise, you'd need to check the documentation for your cluster. Cluster admins like to hide the good stuff, i.e. modern versions, behind another package "new" or some other mechanism.

You might need to know where HDF5 has been installed. You can find out what a module does by typing

module show hdf5

If it contains something about prepending to CMAKE_PREFIX_PATH, then CMake should find the correct version automatically after loading the module.

Using Spack

If neither of the above work, the next best choice might be Spack. It's a package manager for scientific computing. The general idea behind it is to avoid dependency issues by compiling a compatible set of everything.

Obtain Spack by cloning their repo:

git clone https://github.com/spack/spack.git

Activate Spack by sourcing a magic file:

source spack/share/spack/setup-env.sh

which will put the command spack into your PATH. Okay, now we're set. First step is to create an environment for your project, which we'll call useful:

spack env create useful
spack env activate -p useful
spack add hdf5
spack install --jobs NPROC

If you need MPI support use hdf5+mpi instead. The location of the HDF5 installation is spack location --install-dir hdf5.

Conan

If Spack doesn't work, you can try Conan.

Manually Install HDF5

If all else fails, you can try to manually install HDF5. First you need to obtain the source code. For example by using git or by downloading an archive from their webpage.

git clone https://github.com/HDFGroup/hdf5
cd hdf5
git checkout hdf5-1_14_0

Now, fingers crossed it'll compile and install:

cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=../hdf5-v1.14.0 -B build .
cmake --build build --parallel [NPROC]
cmake --install build

Note that here we picked the installation path (or more precisely prefix) to be ../hdf5-v1.14.0. You might want to install HDF5 somewhere else. This installation prefix is the also the path you need to give CMake so it's able to find HDF5 later on.

Confirming HDF5 Has Been Installed

For this purpose we need a dummy file dummy.cpp to compile:

#include <hdf5.h>

int main() {
  auto file = H5Fcreate("foo.h5", H5F_ACC_EXCL, H5P_DEFAULT, H5P_DEFAULT);
  H5Fclose(file);
  return 0;
}

and a CMakeLists.txt with the following contents

cmake_minimum_required(VERSION 3.19)
project(Dummy)

find_package(HDF5 REQUIRED)
add_executable(dummy dummy.cpp)
target_link_libraries(dummy HDF5::HDF5)

Now run CMake to configure the build system and keep an eye out for some a line related to HDF5, e.g.

$ cmake -B build .
...
-- Found HDF5: hdf5-shared (found version "1.14.0")
...

Compile and check that it's doing something with sensible

$ cmake -build build --verbose
[ 50%] Building CXX object CMakeFiles/dummy.dir/dummy.cpp.o
/usr/bin/c++ ... -isystem ${HDF5_ROOT}/include ... -c ${PWD}/dummy.cpp
[100%] Linking CXX executable dummy
/usr/bin/c++ ... -o dummy -Wl,-rpath,${HDF5_ROOT}/lib ${HDF5_ROOT}/lib/libhdf5.so.310.0.0 ...

mostly you're checking that the paths are what you'd expect them to be. If this command was successful, chances are high that HDF5 is properly installed and you've figured out the correct CMake invocations. If you want you can run the executable:

build/dummy

which would create an empty file foo.h5.

Obtaining HighFive

In principle the same instruction as for HDF5 can be used. However, HighFive is much less popular compared to HDF5 and therefore the system package manager likely doesn't know about it, nor does Conan. You're left with Spack and the manual process. It seems someone has done the wonderful work of adding HighFive to conda-forge, so maybe that's also an option.

Git Submodules

This is the well-tested method for "vendoring" HighFive, i.e. including the HighFive sources with those of you project.

Spack

Similarly as for HDF5, you can use Spack to install HighFive:

spack env activate -p useful
spack add highfive
spack install --jobs NPROC

Again spack location --install-dir highfive will return the path where HighFive was installed. Since the Spack recipe of HighFive declares HDF5 as a dependency, technically, it's not necessary to add hdf5, just highfive is enough.

Manually Install HighFive

Just like before the steps are, clone, configure, compile (kinda a no-op), install. The detailed instructions would be

git clone --recursive https://github.com/BlueBrain/HighFive.git
cd HighFive
git checkout v2.8.0

If it complains that Catch is missing, you forgot the --recursive. To fix this you type

git submodule update --init --recursive

Okay, on to configure, compile and install. The CMake commands are

cmake -DCMAKE_INSTALL_PREFIX=build/install -B build .
cmake --build build --parallel
cmake --install build

Later you'd pass the installation directory, i.e. ${PWD}/build/install, to CMAKE_PREFIX_PATH.

Confirming It Works

We again need a dummy file called dummy.cpp with the following contents

#include <highfive/highfive.hpp>

int main() {
  auto file = HighFive::File("foo.h5", HighFive::File::Create);
  return 0;
}

and the following CMakeLists.txt:

cmake_minimum_required(VERSION 3.19)
project(UseHighFive)

find_package(HighFive REQUIRED)
add_executable(dummy dummy.cpp)
target_link_libraries(dummy HighFive)

The required CMake commands are:

$ cmake -DCMAKE_PREFIX_PATH="${HDF5_ROOT};${HIGHFIVE_ROOT}" -B build .
...
-- HIGHFIVE 2.7.1: (Re)Detecting Highfive dependencies (HIGHFIVE_USE_INSTALL_DEPS=NO)
-- Found HDF5: hdf5-shared (found version "1.14.0")
...

$ cmake --build build --verbose
[ 50%] Building CXX object CMakeFiles/dummy.dir/dummy.cpp.o
/usr/bin/c++ ... -isystem ${HIGHFIVE_ROOT}/include -isystem ${HDF5_ROOT}/include ... -c dummy.cpp
[100%] Linking CXX executable dummy
/usr/bin/c++ ... -o dummy -Wl,-rpath,${HDF5_ROOT}/lib ${HDF5_ROOT}/lib/libhdf5.so.310.0.0 ...

Pay attention to the semi-colon (not colon like the rest of Linux) used to separate directories in CMAKE_PREFIX_PATH. If this worked you should be set to either copy the instruction to your "real" project, or start developing the rest of your project.