Warning
This C++ project is still under construction. Please use other repositories:
This C++ library provides routines for constructing and working with the intermediate representation of correlation functions. It provides:
- on-the-fly computation of basis functions for arbitrary cutoff Λ
- basis functions and singular values are accurate to full precision
- routines for sparse sampling
We use tuwien-cms/libxprec as a double-double precision arithmetic library.
- CMake (>= 3.10)
- C++ compiler with C++11 support
- Fortran compiler (optional, for Fortran bindings)
All other dependencies (including libxprec) are automatically downloaded and built during the build process using CMake's FetchContent feature. You do not need to install these manually.
Three build scripts are provided for easy building and installation:
-
build_capi.sh: Builds and installs only the C API
./build_capi.sh
-
build_fortran.sh: Builds and installs the C API and Fortran bindings
./build_fortran.sh
-
build_with_tests.sh: Builds everything including tests
./build_with_tests.sh # After testing, you can install with: cd build && cmake --install .
By default, all scripts will install to $HOME/opt/libsparseir
. You can override this by setting the CMAKE_INSTALL_PREFIX
environment variable:
CMAKE_INSTALL_PREFIX=/usr/local ./build_capi.sh
If you prefer to build manually, you can use the following commands:
mkdir -p build
cd build
# For C API only
cmake .. -DSPARSEIR_BUILD_FORTRAN=OFF -DSPARSEIR_BUILD_TESTING=OFF
# For C API and Fortran bindings
cmake .. -DSPARSEIR_BUILD_FORTRAN=ON -DSPARSEIR_BUILD_TESTING=OFF
# For everything including tests
cmake .. -DSPARSEIR_BUILD_FORTRAN=ON -DSPARSEIR_BUILD_TESTING=ON
# Build
cmake --build .
# Install
cmake --install .
For a quick test build with all options enabled:
rm -rf ./build && cmake -S . -B ./build -DSPARSEIR_BUILD_TESTING=ON && cmake --build ./build -j && ./build/test/libsparseirtests
After building with Fortran bindings enabled, you can run the Fortran test:
cd build
./test_kernel
By default, the library uses Eigen's internal implementations for matrix-matrix multiplication for fitting and sampling. This does not require any additional system libraries. However, the performance is not as good as the BLAS implementation.
For performance critical applications, we recommend using BLAS.
For this, you need to set the SPARSEIR_USE_BLAS
CMake option to ON
.
cmake .. -DSPARSEIR_USE_BLAS=OFF
cmake .. -DSPARSEIR_USE_BLAS=ON
Alternatively, you can set the SPARSEIR_USE_BLAS
CMake option to ON
in the CMakeLists.txt
file of your project:
cmake_minimum_required(VERSION 3.10)
project(MyProject)
set(SPARSEIR_USE_BLAS ON)
Note: When enabling BLAS, ensure that the appropriate libraries (such as OpenBLAS, Intel MKL, or Apple Accelerate) can be found by CMake.
You can also control debug output at runtime using the SPARSEIR_DEBUG
environment variable:
export SPARSEIR_DEBUG=1
./your_program
Install doxygen
and graphviz
. Then, run the following command:
bash generate_docs.sh
This will create the docs/html
directory. Open docs/html/index.html
with your browser to see it.
Please refer ./sample_c/README.md
to learn more.
This project uses GitHub Actions for continuous integration and automated releases:
- CI_cmake.yml: Runs automated tests on every push and pull request to ensure code quality
- CreateTag.yml: Automatically creates tags and releases when version numbers are updated in
include/sparseir/version.h
The release process is fully automated:
-
Update version numbers in
include/sparseir/version.h
by modifying:SPARSEIR_VERSION_MAJOR
SPARSEIR_VERSION_MINOR
SPARSEIR_VERSION_PATCH
-
Push changes to the main branch
-
The GitHub Action will automatically:
- Extract the version from the header file
- Check if a tag with that version already exists
- Create a new tag and release if the version is new
- Generate release notes automatically