f



Re: parallel processing a proc mixed job #3

toby989@HOTPOP.COM wrote back:
>
>David L Cassell wrote:
>>toby989@HOTPOP.COM wrote:
>>
>>>Hi All
>>>
>>>Had anyone of you seen if it is possible to split a large proc mixed job
>>>to
>>>be
>>>processed by multiple cpus/computers?
>>>
>>>Would one need "multiprocessor-SAS" for such a thing or can I do that
>>>with
>>>my
>>>simple SAS 9.1.3? On my dual core PC, or on the quad-core unix machines
>>>we
>>>have
>>>here, or employing multiple quad core machines in the unix cluster?
>>>
>>>In the case if, I would very much appreicate your hint or point to a
>>>source
>>>where I can read about.
>>>
>>>Thanks Toby
>>
>>
>>SAS 9.1.3 *is* multi-processor.  But you have to pay for it.  SAS has a
>>per-processor cost scale, and it's expensive.
>>
>>If you have SAS on a multi-processor system, just see what the value of
>>the
>>THREADS= option is, and whether you can increase it.  The SAS procs
>>that are already threaded will just use the extra processors
>>automatically,
>>if you can increase it.
>>
>
>There is only a THREADS | NOTHREADS system option, which for my setup is
>set to
>THREADS, while the CPUCOUNT is 4. However, I guess, only a few procs like
>glm
>can use this but mixed seems not designed for it.
>
>Then, actually, right now it seems its more a memory problem than a CPU
>prblem
>that I have.
>I was running it like "sas -memsize 100g analysis.sas" while there is 8GB
>of RAM
>10GB of swap and 40GB of virtual memeory available. After 45 minutes it
>gave me
>'out of memory'. On the other hand, I did not see sas taking up a lot of
>mem in
>the unix utility "top".
>
>Toby

Then - in addition to the excellent advice from Dale which I suggest you
address first - I would recommend that you drop the MEMSIZE option.
You are asking for a lot more RAM than you have, and you may actually
be causing a lot of page faults or thrashing.  You may do better letting
SAS and your OS work out what memsize to use.

Also, it would really help if you would explain in mathematical detail what
model you want.  And for me, would you explain the data sources and the
data size and the overall process goal?

HTH,
David
--
David L. Cassell
mathematical statistician
Design Pathways
3115 NW Norwood Pl.
Corvallis OR 97330

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--- On Thu, 1/21/10, Ryan <ryan.andrew.black@GMAIL.COM> wrote: > From: Ryan <ryan.andrew.black@GMAIL.COM> > Subject: Re: proc mixed: multicolinearity > To: SAS-L@LISTSERV.UGA.EDU > Date: Thursday, January 21, 2010, 6:17 PM > On Jan 19, 2:32 pm, stringplaye...@YAHOO.COM > (Dale McLerran) wrote: > > --- On Sun, 1/17/10, Peter Flom <peterflomconsult...@MINDSPRING.COM> > wrote: > > > > > > I suppose that one could construct an example where collinearity > > statistics should be examined at the subject level. In general, > &g...

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