[daip] problems running multiple tv displays on different desktops

[Wes Young]

There are no dumb questions.

Yes allocating additional shared memory will decrease the amount of total memory your machine has available for running AIPS tasks. In practice it's a pretty small amount of memory compared to what many machine have installed, i.e. maybe 16 or 32 MB out of 2-16GB  so the impact is likely to be pretty small.

I doubt "set ufs" parameters would have any effect on the Mac. I found that if I striped my non-system disks I got some improvement in disk IO.

wes
wyoung at aoc.nrao.edu


On Feb 7, 2012, at 9:00 AM, Susan Neff wrote:

> Hi again, Wes,
> 
> Does the shared memory allocation impact the memory available for other AIPS tasks to use?  Does it "reserve" that much memory for the TV?   Or are they independent?  (If they impact the performance of other AIPS tasks,
> I might want to not run on too many TV's at once). 
> 
> The FAQ also talks about improving overall AIPS performance on a Solaris machine by changing the settings to the following - will these help any on a Mac (OS X)?:
> 
> set ufs:ufs_HW=6291456
> set ufs:ufs_LW=4194304
> set priority_paging=1 
> 
> Sorry if these are dumb questions.
> 
> Thanks,
> -s-
> 
> 
> On 2/7/12 10:37 AM, Wes Young wrote:
>> Susan,
>> 
>> In short yes, you will need to increase the amount shared memory allocation. I would guess you would need to double everything but kern.sysv.shmmin. It may be that you can get by with doubling kern.sysv.shmmax but I'm not sure.
>> 
>> wes
>> 
>> wyoung at aoc.nrao.edu
>> 
>> 
>> 
>> On Feb 7, 2012, at 8:22 AM, Susan Neff wrote:
>> 
>> 
>>>   However, I don't really 
>>> understand how shared memory works - do I need to 
>>> double/triple/...   the shared memory value for 
>>> kern.sys.shmmax  in /etc/sysctl.conf   if I want to 
>>> use two/three/...  TV displays at the same time?   Is 
>>> there something else I should change?   I'm running 
>>> with a 23 inch display, 1920 x 1200 pixels.
>>> 
>>> 
>>> Thanks very much,
>>> Susan
>>> 
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>>> 
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> 
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