- Goals and Motivation
- Scope
- Getting started
- Using stdlib in your project
- Documentation
- Contributing
- Links
The Fortran Standard, as published by the ISO (https://wg5-fortran.org/), does
not have a Standard Library. The goal of this project is to provide a community
driven and agreed upon de facto "standard" library for Fortran, called a
Fortran Standard Library (stdlib
). We have a rigorous process how stdlib
is
developed as documented in our Workflow. stdlib
is both a
specification and a reference implementation. We are cooperating with the
Fortran Standards Committee (e.g., the effort
started at the J3
committee repository) and the plan is to continue working with the Committee in
the future (such as in the step 5. in the Workflow document), so
that if the Committee wants to standardize some feature already available in stdlib
, it would
base it on stdlib
's implementation.
The goal of the Fortran Standard Library is to achieve the following general scope:
- Utilities (containers, strings, files, OS/environment integration, unit testing & assertions, logging, ...)
- Algorithms (searching and sorting, merging, ...)
- Mathematics (linear algebra, sparse matrices, special functions, fast Fourier transform, random numbers, statistics, ordinary differential equations, numerical integration, optimization, ...)
git clone https://github.com/fortran-lang/stdlib
cd stdlib
To build the Fortran standard library you need
- a Fortran 2008 compliant compiler, or better, a Fortran 2018 compliant compiler (GCC Fortran and Intel Fortran compilers are known to work for stdlib)
- CMake version 3.14 or newer (alternatively Make can be used)
- a build backend for CMake, like Make or Ninja (the latter is recommended on Windows)
- the fypp preprocessor (used as meta-programming tool)
If your system package manager does not provide the required build tools, all build dependencies can be installed with the Python command line installer pip
:
pip install --user fypp cmake ninja
Alternatively, you can install the build tools from the conda-forge channel with the conda package manager:
conda config --add channels conda-forge
conda create -n stdlib-tools fypp cmake ninja
conda activate stdlib-tools
You can install conda using the miniforge installer.
Also, you can install a Fortran compiler from conda-forge by installing the fortran-compiler
package, which installs GFortran.
The following combinations are tested on the default branch of stdlib:
Name | Version | Platform | Architecture |
---|---|---|---|
GCC Fortran | 9, 10, 11 | Ubuntu 20.04 | x86_64 |
GCC Fortran | 9, 10, 11 | MacOS Catalina 10.15 | x86_64 |
GCC Fortran (MSYS) | 10 | Windows Server 2019 | x86_64 |
GCC Fortran (MinGW) | 10 | Windows Server 2019 | x86_64, i686 |
Intel oneAPI classic | 2021.1 | Ubuntu 20.04 | x86_64 |
Intel oneAPI classic | 2021.1 | MacOS Catalina 10.15 | x86_64 |
The following combinations are known to work, but they are not tested in the CI:
Name | Version | Platform | Architecture |
---|---|---|---|
GCC Fortran (MinGW) | 9.3.0, 10.2.0, 11.2.0 | Windows 10 | x86_64, i686 |
We try to test as many available compilers and platforms as possible. A list of tested compilers which are currently not working and the respective issue are listed below.
Name | Version | Platform | Architecture | Status |
---|---|---|---|---|
GCC Fortran | <9 | any | any | #296, #430 |
NVIDIA HPC SDK | 20.7, 20.9, 20.11 | Manjaro Linux 20 | x86_64 | #107 |
NAG | 7.0 | RHEL | x86_64 | #108 |
Intel Parallel Studio XE | 16, 17, 18 | OpenSUSE | x86_64 | failed to compile |
Please share your experience with successful and failing builds for compiler/platform/architecture combinations not covered above.
Configure the build with
cmake -B build
You can pass additional options to CMake to customize the build. Important options are
-G Ninja
to use the Ninja backend instead of the default Make backend. Other build backends are available with a similar syntax.-DCMAKE_INSTALL_PREFIX
is used to provide the install location for the library. If not provided the defaults will depend on your operating system, see here.-DCMAKE_MAXIMUM_RANK
the maximum array rank procedures should be generated for. The default value is chosen as 4. The maximum is 15 for Fortran 2003 compliant compilers, otherwise 7 for compilers not supporting Fortran 2003 completely yet. The minimum required rank to compile this project is 4. Compiling with maximum rank 15 can be resource intensive and requires at least 16 GB of memory to allow parallel compilation or 4 GB memory for sequential compilation.-DBUILD_SHARED_LIBS
set toon
in case you want link your application dynamically against the standard library (default:off
).-DBUILD_TESTING
set tooff
in case you want to disable the stdlib tests (default:on
).-DCMAKE_VERBOSE_MAKEFILE
is by default set toOff
, but if set toOn
will show commands used to compile the code.-DCMAKE_BUILD_TYPE
is by default set toRelWithDebInfo
, which uses compiler flags suitable for code development (but with only-O2
optimization). Beware the compiler flags set this way will override any compiler flags specified viaFFLAGS
. To prevent this, use-DCMAKE_BUILD_TYPE=NoConfig
in conjunction withFFLAGS
.
For example, to configure a build using the Ninja backend while specifying compiler optimization via FFLAGS
, generating procedures up to rank 7, installing to your home directory, using the NoConfig
compiler flags, and printing the compiler commands, use
export FFLAGS="-O3"
cmake -B build -G Ninja -DCMAKE_MAXIMUM_RANK:String=7 -DCMAKE_INSTALL_PREFIX=$HOME/.local -DCMAKE_VERBOSE_MAKEFILE=On -DCMAKE_BUILD_TYPE=NoConfig
To build the standard library run
cmake --build build
To test your build, run the test suite after the build has finished with
cmake --build build --target test
Please report failing tests on our issue tracker including details of the compiler used, the operating system and platform architecture.
To install the project to the declared prefix run
cmake --install build
Now you have a working version of stdlib you can use for your project.
If at some point you wish to recompile stdlib
with different options, you might
want to delete the build
folder. This will ensure that cached variables from
earlier builds do not affect the new build.
Build with fortran-lang/fpm
Fortran Package Manager (fpm) is a package manager and build system for Fortran.
You can build stdlib
using provided fpm.toml
:
git checkout stdlib-fpm
fpm build --profile release
To use stdlib
within your fpm
project, add the following lines to your fpm.toml
file:
[dependencies]
stdlib = { git="https://github.com/fortran-lang/stdlib", branch="stdlib-fpm" }
The stdlib project exports CMake package files and pkg-config files to make stdlib usable for other projects. The package files are located in the library directory in the installation prefix.
For CMake builds of stdlib you can find a local installation with
find_package(fortran_stdlib REQUIRED)
...
target_link_libraries(
${PROJECT_NAME}
PRIVATE
fortran_stdlib::fortran_stdlib
)
To make the installed stdlib project discoverable add the stdlib directory to the CMAKE_PREFIX_PATH
.
The usual install location of the package files is $PREFIX/lib/cmake/fortran_stdlib
.
Documentation is a work in progress (see issue #4) but already available at stdlib.fortran-lang.org. This includes API documentation automatically generated from static analysis and markup comments in the source files using the FORD tool, as well as a specification document or "spec" for each proposed feature.
Some discussions and prototypes of proposed APIs along with a list of popular open source Fortran projects are available on the wiki.