This is great! Thanks! -Xiangrui On Wed, Apr 1, 2015 at 12:11 PM, Ulanov, Alexander <alexander.ula...@hp.com> wrote: > FYI, I've added instructions to Netlib-java wiki, Sam added the link to them > from the project's readme.md > https://github.com/fommil/netlib-java/wiki/NVBLAS > > Best regards, Alexander > -----Original Message----- > From: Xiangrui Meng [mailto:men...@gmail.com] > Sent: Monday, March 30, 2015 2:43 PM > To: Sean Owen > Cc: Evan R. Sparks; Sam Halliday; dev@spark.apache.org; Ulanov, Alexander; > jfcanny > Subject: Re: Using CUDA within Spark / boosting linear algebra > > Hi Alex, > > Since it is non-trivial to make nvblas work with netlib-java, it would be > great if you can send the instructions to netlib-java as part of the README. > Hopefully we don't need to modify netlib-java code to use nvblas. > > Best, > Xiangrui > > On Thu, Mar 26, 2015 at 9:54 AM, Sean Owen <so...@cloudera.com> wrote: >> 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.spa...@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. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For >> additional commands, e-mail: dev-h...@spark.apache.org >>
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