[R] R enterprise for linux

[R. Michael Weylandt]

I think there is some support for multi-processor matrix
multiplication (google around for it) but in your case, it might
suffice to use an optimized BLAS and R's builtin parallel facilities.

As I said in your other thread -- if you are working with
diagonal/sparse matrices, it's also possible to use special cases for
efficient manipulations.

Michael

On Mon, Feb 6, 2012 at 10:47 AM, Alaios <alaios at yahoo.com> wrote:
> That was my bad. (doing two things at same time)
> I am not out of memory by no means.... it is just that it only runs at one
> core. IF somehow R was able to see the many cores in my system.
>
> Regards
> Alex
>
> ________________________________
> From: David Winsemius <dwinsemius at comcast.net>
> To: Alaios <alaios at yahoo.com>
> Cc: R. Michael Weylandt <michael.weylandt at gmail.com>; "R-help at r-project.org"
> <R-help at r-project.org>
> Sent: Monday, February 6, 2012 4:31 PM
>
> Subject: Re: [R] R enterprise for linux
>
>
> 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
>
>
>