Long GPU units again?

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Profile Helli_retiered
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Message 1080665 - Posted: 23 Feb 2011, 16:13:01 UTC - in response to Message 1079745.  

Nvidias don´t like VLAR´s.

Use Freds rescheduler to move them to CPU.



Another funny thing is - if you cancel these wrong assigned Workunits
you get them back as Resend lost Workunits. But now on the CPU. :-)

Helli
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Message 1080671 - Posted: 23 Feb 2011, 16:25:33 UTC - in response to Message 1080665.  

Nvidias don´t like VLAR´s.

Use Freds rescheduler to move them to CPU.



Another funny thing is - if you cancel these wrong assigned Workunits
you get them back as Resend lost Workunits. But now on the CPU. :-)

Helli


True, noticed that also a couple weeks ago.



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Message 1080755 - Posted: 23 Feb 2011, 22:00:54 UTC - in response to Message 1078162.  

well i been not getting any long wu with a gts250
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Message 1080939 - Posted: 24 Feb 2011, 14:04:16 UTC - in response to Message 1080755.  
Last modified: 24 Feb 2011, 14:41:25 UTC

After a lot of problems with my ATI host,(HD4850, also burned) and HD5000 series ATI, would not work. At least not with MB WU's.

And both (ASUS P5E)Mobo's will not work correct, with 2 nVIDIA cards, I've taken out the HD5870 and replaced it with the GTX470, from my XP64 rig.

Reïnstalled BOINC and LUNATICs V0.37 (FERMI Preview),so I can crunch the MB tasks
on this
host
, before they expire.

First thing I noticed, a VLAR WU, cunched by the FERMI (GTX470), now 1 at a time.
Cause I wanna know, if it's capable of crunching one, in 'normal' way and times,
estimated at 12 hours! (Which is normal, cause BOINC Mngr, doesn't 'know' this
GTX470 card.
When BOINC started up, did his Bench Mark Check and started crunching.

I now see, it is at 30% after 17 minutes and happy crunching along.
If it finishes, within reasonable time, or even less time then the CPU, I'll
let them finish this one and maybe also other vlar WU's.

Have to find an other mobo, for my FERMI's(GTX470 & 480), cause these 2 (P5E-ASUS) mobo's, don't work well with nVIDIA GPUs, also uses PCI-E x 16 ver.1.0
(ATI card(s) are well accepted and even 2 will run in PCI-E x 16 ver.2.0!)

The one vlar, it's crunching now on the 470GPU, is atleast going 4x faster, compaired to a similar, 0.01AR MB task.
I would dare to try this on my GTS250, but FERMIs, are quite different.

This WU, could not be 'matched', but looks OK?!

Device 1: GeForce GTX 480 is okay
SETI@home using CUDA accelerated device GeForce GTX 480
Priority of process raised successfully
Priority of worker thread raised successfully
size 8 fft, is a freaky powerspectrum
size 16 fft, is a cufft plan
size 32 fft, is a cufft plan
size 64 fft, is a cufft plan
size 128 fft, is a cufft plan
size 256 fft, is a freaky powerspectrum
size 512 fft, is a freaky powerspectrum
size 1024 fft, is a freaky powerspectrum
size 2048 fft, is a cufft plan
size 4096 fft, is a cufft plan
size 8192 fft, is a cufft plan
size 16384 fft, is a cufft plan
size 32768 fft, is a cufft plan
size 65536 fft, is a cufft plan
size 131072 fft, is a cufft plan
 )       _   _  _)_ o  _  _ 
(__ (_( ) ) (_( (_  ( (_ (  
 not bad for a human...  _) 

Multibeam x32f Preview, Cuda 3.0

Work Unit Info:
...............
WU true angle range is : 8.092281

Flopcounter: 10028718023014.631000

Spike count: 9
Pulse count: 0
Triplet count: 8
Gaussian count: 0
called boinc_finish

</stderr_txt>
]]>


It appears, the VLAR MB task is crunched, reported and uploaded, so I wasn't able to see the time, it took, about an hour.
It is in my SETI BÊta account, have to track it down and see the result.
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Message 1081005 - Posted: 24 Feb 2011, 20:41:00 UTC

Fred I've been trying the same experiment today and watching the times on vlar's on my GTX480. It crunched 1 vlar in 1 hour 2 minutes and is crunching 2 now and it looks to get two done in 1 hour 13 minutes. However it makes my PC lag a good bit crunching two of those at a time. Normal completion times for a vlar on my cpu is about 2 hours 30 minutes to 2 hours 40 minutes on comparable units. Pretty cool.
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Message boards : Number crunching : Long GPU units again?


 
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