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- Pardiso libary is in deps folder:
- Working on Windows 10
Pkg.build("Pardiso") yields:
julia> Pkg.build("Pardiso")
INFO: Building Pardiso
found library but it failed to load due to:
could …
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I have been updating the VML.jl package for 1.x, which makes the vectorized function in the VML library available in Julia.
Conveniently, when one adds MKL.jl all necessary shared libraries are also…
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Currently it is not possible to build a cvxpy conda package for Python 3 on Windows. The issue is that conda cannot find any version of SCS built for Python 3 on Windows. I find this odd, since I made…
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The currently selected MKL library is not working for my system:
`global const libmkl_core = Libdl.dlopen(string(MKLROOT, "/lib/libmkl_rt"), Libdl.RTLD_GLOBAL)`
If using this library, I get an `…
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I'm trying to configure Ipopt with PARDISO (non-MKL) and WSMP on Linux using GCC 7.4.0. Prior to version 3.13.0, this could be accomplished via something similar to
```bash
ADD_CFLAGS="-fopenmp -fPI…
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Is it possible to fully utilize all cores while using PardisoSolver()?
My machine uses only 15~18% of CPU load (probably 1 core).
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I actually just discovered the bending_operator stuff last week. But when I tried using it and set NO_BENDING in a 1D extension example problem, I get an error indicating "property not found for : kap…
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When solving a large matrix (~9e7 unknowns) on my cluster I am getting a segmentation fault. However, smaller matrices generated by the same code base can be solved (~2e7 unknowns). I guess it's possi…
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Is it possible to avoid the wrapper compiler and libgomp linking steps by using MKL and other dependencies from BinaryBuilder?
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David,
I'm having some trouble when compiling the hpl-gpu code, following [your tutorial](https://github.com/davidrohr/hpl-gpu/wiki/Howto). I believe I correctly installed Intel MKL and CALDGEMM, a…