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From Sean Owen <so...@cloudera.com>
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
libgfortran.)

On Thu, Mar 26, 2015 at 4:07 PM, Evan R. Sparks <evan.sparks@gmail.com> 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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