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The second reason is that I’m still failing when trying to compile 64bit. Disabling the call you mentioned unfortunately still did not resolve the problem (there are still a lot of linker errors). The first reason going for 32 bit was that for I need to generate a 32bit dll at the end.
#SIMPLY FORTRAN CUDA HOW TO#
So I’m now trying to generate a 64bit build but I’m failing how to properly configure the build …Īre there pre-built binaries available for download? Or, at least a more detailed guideline how to configure the build in a similar environment? The bad news is, that when trying to generate a sparse linear algebra application I get linker errors like magma_sparse.lib(magma_smconverter.obj) : error LNK2019: Verweis auf nicht aufgelöstes externes Symbol in Funktion "_magma_smconvert". CUDA 6.5) and was somehow successful to generate a 32-bit build of the libraries! Then I’ve created an application with dense linear algebra and it runs perfectly fine, gives the right results and it is really fast!! So I’ve tried to use CMAKE to configure the build with older CUDA versions (e.g. are no longer supported by the CUDA toolkit for CUDA >= 7.0. The first problem is that on 64-bit Windows systems, 32-bit versions of the CUDA Toolkit scientific libraries, including cuBLAS, cuSPARSE, cuFFT, cuRAND, etc. I’ve downloaded LAPACK and BLAS from and the Intel Redistributable package from. My environment is Windows 10, CUDA 7.5, Microsoft Visual Studio 11.0. Especially it seems not easy to configure the build in the right way. My impression is that magma seems to be a great library but it takes very long to get it running on Windows. I'm currently trying to build magma-2.1.0 on Windows.