According to how it was built (a single static lib or a full dynamic one), you should look for its dependencies. Reported as latest, though the site had a version that is a couple months newer. The Cmake version that I was running was the stock ‘apt-get’ version. ScaLAPACK is a widely used FORTRAN 77 library for performing distributed-memory linear algebra. # * CHOLMOD : this lib needs all previous ones. Not sure why the device library entry appeared, since Cmake was only a couple months old, and I’m trying to build the latest version of OpenCV 4. This sample, written and documented by Sudarshan Raghunathan, provides simple, self-contained example programs in C++ that illustrate the use of representative routines in ScaLAPACK on Windows HPC Server 2008 R2 with Microsoft MPI (MS MPI). Add to linker SDL.lib and SDLmain.lib (i made sure they got linked, no problem here) Change system to WINDOWS (optional if you dont want two windows. Make new VS project, open VC++ directories and add lib/incl folder on e.g C:\SDL. Copy the libs and includes from the downloaded SDL. # Possible components to find are (maybe some others can be available): Make a folder on e.g C:\SDL with two folders, include and lib. # Note: If a component is not found, a SuiteSparse_DIR cache variable is set to allow user set the search directory. BLAVENDOR Use CMakes FindBLAS, instead of BLAS++ search. One of: yes no (default) If BLAVENDOR is set, it automatically uses CMakes FindBLAS. # * SuiteSparse_LIBRARY The file path to the component library One of: yes (default) no usecmakefindblas Whether to use CMakes FindBLAS, instead of BLAS++ search. # * SuiteSparse_INCLUDE_DIR The path directory where we can find all component header files # * SuiteSparse_FOUND True if the given component to look for is found (INCLUDE DIR and LIBRARY) # * SuiteSparse_LAPACK_BLAS_DLL Which contain all required binaries for use libblas and liblapack # * SuiteSparse_LAPACK_BLAS_LIBRARIES Which contain the libblas and liblapack libraries # If SuiteSparse_USE_LAPACK_BLAS is set to ON : uncached list of required linker flags (excluding -l and -L). # * SuiteSparse_LIBRARIES Absolute paths of SuiteSparse libs found (depend on which COMPONENTS you gave) library implementing the BLAS interface is found. # * SuiteSparse_INCLUDE_DIRS Paths containing SuiteSparse needed headers (depend on which COMPONENTS you gave) # * SuiteSparse_FOUND True if SuiteSparse given COMPONENTS include and libraries were found # * SuiteSparse_SEARCH_LIB_POSTFIX Is set in cache (as advanced) to look into the right lib/lib64 dir for libraries (user can change) # Help variables this file handles internally : # Note: SuiteSparse lib usually requires linking to a blas and lapack library. If ON append to SuiteSparse_LIBRARIES the blas and lapack library # * SuiteSparse_USE_LAPACK_BLASĝefault to OFF. # Input variables this file can process (variable must be given before find_package(SUITESPARES. # Anyway, it should also work on linux (tested on fedora 17 when you installed suitesparse from yum) # The first development of this file was made by Windows users who Windows x86/x8664 (hosted on if required the mingw runtime dependencies can be found in the 0.2. Binary Packages We strive to provide binary packages for the following platform. Please read the documents on OpenBLAS wiki. #include // NOTE ORDER #include // added #include // added #include "f2c.h" #include "clapack.# CMake file to locate SuiteSparse and its useful composite projects OpenBLAS OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
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