CMake scripts for painless usage of Tim Davis' SuiteSparse (CHOLMOD,UMFPACK,AMD,LDL,SPQR,...) and METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake. The project includes precompiled BLAS/LAPACK DLLs for easy use with Visual C++. Licensed under BSD 3-Clause License.
The goal is using one single CMake code to build against SuiteSparse in standard Linux package systems (e.g. libsuitesparse-dev
) and in manual compilations under Windows.
Credits: Jose Luis Blanco (Universidad de Almeria); Jerome Esnault (INRIA); @NeroBurner
-
(1) Install CMake.
-
(2) Only for Linux/Mac: Install LAPACK & BLAS. In Debian/Ubuntu:
sudo apt-get install liblapack-dev libblas-dev
-
(3) Clone or download this project (latest release) and extract it somewhere in your disk, say
SP_ROOT
.- (OPTIONAL) CMake will download SuiteSparse sources automatically for you (skip to step 4), but you may do it manually if preferred:
- Populate the directories within
SP_ROOT
with the original sources from each project:SuiteSparse
:- Download SuiteSparse-X.Y.Z.tar.gz from Tim Davis' webpage.
- Extract it.
- Merge (e.g. copy and paste from Windows Explorer) the tree
SuiteSparse/*
intoSP_ROOT/SuiteSparse/*
. - Make sure of looking for patches in the original webpage and apply them to prevent build errors.
METIS
: (Optional, only if need METIS for partitioning)- Download metis-X.Y.Z.tar.gz.
- Extract it.
- Merge the tree
metis-X.Y.Z/*
intoSP_ROOT/metis/*
. - Add the command
cmake_policy(SET CMP0022 NEW)
right after the lineproject(METIS)
inmetis/CMakeLists.txt
.
- Populate the directories within
- (OPTIONAL) CMake will download SuiteSparse sources automatically for you (skip to step 4), but you may do it manually if preferred:
-
(4) Run CMake (cmake-gui), then:
- Set the "Source code" directory to
SP_ROOT
- Set the "Build" directory to any empty directory, typically
SP_ROOT/build
- Press "Configure", change anything (if needed)
- Important: I recommend setting the
CMAKE_INSTALL_PREFIX
to some other directory different than "Program Files" or "/usr/local" so the INSTALL command does not require Admin privileges. By default it will point toSP_ROOT/build/install
. - If you have an error like: "Cannot find source file: GKlib/conf/check_thread_storage.c", then manually adjust
GKLIB_PATH
to the correct pathSP_ROOT/metis/GKlib
. HAVE_COMPLEX
is OFF by default to avoid errors related to complex numbers in some compilers.- Press "Generate".
- Set the "Source code" directory to
-
(5) Compile and install:
- In Visual Studio, open
SuiteSparseProject.sln
and build theINSTALL
project in Debug and Release. You may get hundreds of warnings, but it's ok. - In Unix: Just execute
make install
orsudo make install
if you did set the install prefix to/usr/*
- In Visual Studio, open
-
(6) Notice that a file
SuiteSparseConfig.cmake
should be located in your install directory. It will be required for your programs to correctly build and link againstSuiteSparse
. -
(7) Only for Windows: You will have to append
CMAKE_INSTALL_PREFIX\lib*\lapack_blas_windows\
andCMAKE_INSTALL_PREFIX\lib*
to the environment variablePATH
before executing any program, for Windows to localize the required BLAS/Fortran libraries (.DLL
s).
Starting with v0.3.21
OpenBLAS ships with an f2c-converted copy of LAPACK v3.9.0
which is used if no fortran compiler is available.
This means we can compile OpenBLAS to provide BLAS and LAPACK functionality with a regular C++ compiler like MSVC or GCC.
This includes compiling everything as a static library.
If that library is later used to compile an executable the executable can run without any external dependencies (like fortran runtimes or lapack dlls in the generic fortran based BLAS and LAPACK implementation).
When building OpenBLAS yourself be sure to use BUILD_WITHOUT_LAPACK=NO
and NOFORTAN=1
when configuring OpenBLAS with CMake to get a pure C++ OpenBLAS library (with the benefits described above).
To tell SuiteSparse to build against this OpenBLAS implementation set the option WITH_OPENBLAS=ON
.
Example CMake programs are provided for testing, based on Tim Davis' code in his manual:
An example to test CUDA support can be found here.
-
Add a block like this to your CMake code (see complete example), and set the CMake variable
SuiteSparse_DIR
toSP_INSTALL_DIR/lib/cmake/suitesparse-5.4.0/
or the equivalent place whereSuiteSparse-config.cmake
was installed.# ------------------------------------------------------------------ # Detect SuiteSparse libraries: # If not found automatically, set SuiteSparse_DIR in CMake to the # directory where SuiteSparse-config.cmake was installed. # ------------------------------------------------------------------ find_package(SuiteSparse CONFIG REQUIRED) target_link_libraries(MY_PROGRAM PRIVATE ${SuiteSparse_LIBRARIES}) # or directly add only the libs you need: target_link_libraries(MY_PROGRAM PRIVATE SuiteSparse::suitesparseconfig SuiteSparse::amd SuiteSparse::btf SuiteSparse::camd SuiteSparse::ccolamd SuiteSparse::colamd SuiteSparse::cholmod SuiteSparse::cxsparse SuiteSparse::klu SuiteSparse::ldl SuiteSparse::umfpack SuiteSparse::spqr SuiteSparse::metis )
-
In Windows, if you have a CMake error like:
Could not find a package configuration file provided by "LAPACK" with any of the following names: LAPACKConfig.cmake lapack-config.cmake
set the CMake variable
LAPACK_DIR
toSP_ROOT/lapack_windows/x64/
(orx32
for 32bit builds).
Porting SuiteSparse
to CMake wasn't trivial because this package makes extensive usage of a one-source-multiple-objects philosophy by compiling the same sources with different compiler flags, and this ain't directly possible to CMake's design.
My workaround to this limitation includes auxiliary Python scripts and dummy source files, so the whole thing became large enough to be worth publishing online so many others may benefit.