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From Sean Owen <>
Subject Re: Using CUDA within Spark / boosting linear algebra
Date Thu, 26 Mar 2015 16:54:57 GMT
The license issue is with libgfortran, rather than OpenBLAS.

(FWIW I am going through the motions to get OpenBLAS set up by default
on CDH in the near future, and the hard part is just handling

On Thu, Mar 26, 2015 at 4:07 PM, Evan R. Sparks <> wrote:
> Alright Sam - you are the expert here. If the GPL issues are unavoidable,
> that's fine - what is the exact bit of code that is GPL?
> The suggestion to use OpenBLAS is not to say it's the best option, but that
> it's a *free, reasonable default* for many users - keep in mind the most
> common deployment for Spark/MLlib is on 64-bit linux on EC2[1].
> Additionally, for many of the problems we're targeting, this reasonable
> default can provide a 1-2 orders of magnitude improvement in performance
> over the f2jblas implementation that netlib-java falls back on.

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