[R] R enterprise for linux
David Winsemius
dwinsemius at comcast.net
Mon Feb 6 16:31:04 CET 2012
On Feb 6, 2012, at 10:17 AM, Alaios wrote:
> My bad..
>
> these are the real matrices
>
>> G<-DiagonalGaussian( NumberOfImagePixels,sd=Gsd)
>> str(G)
> num [1:16384, 1:16384] 1400 0 0 0 0 ...
>> S<-PointSamplingMatrix(EffectiveSensors,NumberOfImagePixels)
>> str(S)
> num [1:10650, 1:16384] 0 0 0 0 0 0 0 0 0 0 ...
>> A<-S %*% G
>
You seems confused about the size of your objects. You earlier said
they were [128,128] which we took to mean 128 x 128 matrices, they
are far larger than that. I'm guessing that you are consuming all of
your RAM and paging out to disk. But that is just a guess since you
provided none of the system information that the Posting Guide suggests.
--
David.
> _______________________________
> From: R. Michael Weylandt <michael.weylandt at gmail.com>
>
> Cc: Paul Hiemstra <paul.hiemstra at knmi.nl>; "R-help at r-project.org" <R-help at r-project.org
> >
> Sent: Monday, February 6, 2012 3:39 PM
> Subject: Re: [R] R enterprise for linux
>
> Are you sure?
>
> I just ran
>
> N <- 128
> system.time(matrix(rnorm(N^2),N) %*% matrix(rnorm(N^2),N))
>
> and it took less than 0.044s on my (old-ish) laptop while doing other
> things (and that includes the expensive rng calls). There might be
> some other issues in play here. Even N <- 1280 takes < 5 seconds with
> the rng call.
>
> Michael
>
>
>> Actually, I would like to speed up matrix multiplication
>>
>> which is really too slow.
>> MatrixA %*% MatrixB (each one is a [128,128] table) is running four
>> hours now... and just imagine that I want to calculate many of those.
>>
>> Which other alternative do I have?
>>
>> Regards
>> Alex
>>
>>
>> ________________________________
>> From: Paul Hiemstra <paul.hiemstra at knmi.nl>
>>
>> Cc: "R-help at r-project.org" <R-help at r-project.org>
>> Sent: Monday, February 6, 2012 2:30 PM
>> Subject: Re: [R] R enterprise for linux
>>
>>
>> Dear Alex,
>>
>> By Enterprise R, do you mean Revolution R? I can also only find red
>> hat packages. You could send them an e-mail to ask for sources.
>> They
>> probably want to help you, especially when you pay. But why do you
>> need RevoR and not standard R.
>>
>> Paul
>>
>> On 02/06/2012 12:55 PM, Alaios wrote:
>> Dear all,
>> I would like to ask you if it would be possible to install R
>> enterprise in opensuse.
>> Actually it seems that there are only Red Hat packages and I was
>> wondering if their source code is available so one to try and
>> compile it. I would like to thank you in advance for your reply
>> Regards
>> Alex [[alternative HTML version deleted]]
>>>
>> ______________________________________________ R-help at r-project.org
>> mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do
>> read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>> --
>> Paul Hiemstra, Ph.D.
>> Global Climate Division
>> Royal Netherlands Meteorological Institute (KNMI)
>> Wilhelminalaan 10 | 3732 GK | De Bilt | Kamer B 3.39
>> P.O. Box 201 | 3730 AE | De Bilt
>> tel: +31 30 2206 494 http://intamap.geo.uu.nl/~paul
>> http://nl.linkedin.com/pub/paul-hiemstra/20/30b/770
>> [[alternative HTML version deleted]]
>>
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
West Hartford, CT
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