Hello everyone, I want to make a quick announcement about the JuliaPro distribution that we at Julia Computing have put together and made available for download. The developer edition is free, and we also have an enterprise edition with paid support. It has taken us a long time to put together a d…

That looks good to me. You can also look at the output from Base.BLAS.vendor().

Is anybody also reproducing that ARPACK and MKL are not built/linked in a compatible way? eigs(randn(5,5)*im) results in signal (11): Segmentation fault: 11 while loading no file, in expression starting on line 0 mkl_blas_zdotc at /usr/local/intel//compilers_and_libraries_2016.2.146/mac/mkl/lib/l…

Hello, I’m now trying to install JuliaPro 0.6.2 on my Mac (El Capitan) and wondering which of the OpenBLAS and MKL versions to install. My Mac already has Julia v0.6 installed, which is placed in /Applications/Julia-0.6.app/. First of all, is it possible to install JuliaPro on top of the exist…

Go with MKL. With all the respect to OpenBLAS, Intel MKL is faster. I wish it wasn’t so. As if it did and OpenBLAS was as efficient people could use AMD CPU for Scientific Programming without hurting performance.

With all respect to MKL, do you have a source for this statement? I’ve heard that OpenBLAS is poorly tuned for small matrices, but don’t have any numbers myself. It might help push their developers to fix any problem areas if there’s an analysis of areas to target, where they are not at least matchi…

Wasn’t there just yesterday or the day before yesterday a post about the comparison of MKL with OpenBLAS? [image] OpenBLAS is faster than Intel MKL on AMD Hardware (Ryzen) Performance Questions about MKL vs OpenBLAS come up a lot, for example in comparisons with Matlab (li…

You may have a look here: https://github.com/RoyiAvital/MatlabJuliaMatrixOperationsBenchmark Once Julia 1.0 is out I will re run this (With both Flavors of Julia vs. MATLAB [Probably R2018a or R2018b]). But really, OpenBLAS is amazing, yet still behind Intel MKL. P. S. There is no point running…

I would bet on Ryzen + OpenBLAS giving more glfops/$ than Intel + MKL on large matrices with multi-threading. EDIT: eigen3 is opensource (copy-left), and their benchmarks show them getting optimized BLAS levels of performance. Without the mountains of architecture-specific assembly . Maybe I’ll tr…

[image] septc: First of all, is it possible to install JuliaPro on top of the existing “plain” Julia already installed in the above directory (which was downloaded from the official webpage)? Is there no interference problem because different installation directories will be used? JuliaPro …

Thanks very much for various info and suggestions :slightly_smiling_face: Now having understood that the plain Julia package does not interfere with JuliaPro, I have just installed the MKL version of JuliaPro (because the CPU is Core-i7 on my Mac-mini). I will play with it for my calculations (an…

ANN: The JuliaPro distribution by Julia Computing

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PetrKryslUCSD February 12, 2018, 12:08am 60

Wasn’t there just yesterday or the day before yesterday a post about the comparison of MKL with OpenBLAS?

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ANN: The JuliaPro distribution by Julia Computing

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