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Beta build for FlavorJulia to help resolve OpenBLAS issues #77
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If you are speaking of the OpenBlas as implemented by Julia, it's a Julia's team question.
I don't know how you can introduce a beta OpenBlas in Julia for windows otherwise |
Besides that:
==> Wouldn't it be simpler:
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(and the download count of FlavorJulia is disappointing, so I think I won't do another one before Julia 0.4beta3) |
In the Julia console, execute Do you build Julia using the Windows Self-Extracting Archive (.exe) from here? My performance issues are indeed in a "pure" Julia environment, but my code calls Python modules too. So WinPython is a great environment to provide a happy marriage of Julia and Python. |
Well, you're right. Eating my own dog food, I don't see Julia fetching refreshed DLLs. |
and maybe:
but I'm not sure what it downloads.... https://groups.google.com/forum/#!forum/julia-users may be the best way to go for advice. |
I see Julia team picked up your request: JuliaLang/julia#10780 |
@stonebig , Soon, I will be able to get the OpenBLAS fixes in the Julia v0.4-pre nightly build. When you build WinPython FlavorJulia, do you build Julia using the latest released version of the Windows Self-Extracting Archive (.exe) from here? |
Yes, I do roughly the below procedure in an existing winpython (without julia, or with existing then, replace .settings\ipython\kernels\julia\kernel.json by this (to have a movable winpython+julia):
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Thanks for the details! |
Please create a beta build for FlavorJulia to help resolve OpenBLAS issues. Build Julia like WinPython-64bit-3.4.3.2FlavorJulia, except:
a) add MAX_STACK_ALLOC=2048 to the make options for OpenBLAS, and
b) use the develop branch of OpenBLAS
This build will have these benefits:
By the way, please keep MKL BLAS for NumPy and SciPy in the near future, as OpenBLAS currently has a number of performance problems compared to MKL BLAS.
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