Nvidia seems so far better in GPGPU programming with CUDA and GPGPU hardware support. For a complex code, this is the best solution until OpenCL comes out and ATI adapts their hardware.

ATI is so far better in double precision performance, but this is still much less that single-precision performance anyway.

Hi,
ACEMD uses only single-precision on the gpu for maximum performance.
As you say the double precision performance of ATI is still 5 times less than any ATI or NVIDIA GPUs in single precision.

Fortunately, for molecular dynamics applications is ok to use single-precision.

Theory is beautiful but life is brutal:

In GPUGRID with 3xGTX260SP216 you may have 55000 credits per day,

In MilkyWay with 2xHD4870 you may have 110 000 credits per day...

So where is balance?

In MilkyWay project you may run 2 wu per gpu.
In gpu grid you may run only 1 wu per gpu.

So I really like GPUGRID, and this is only reason why I recently, when I was upgrading my computers I buy 3GTX260 not 3 HD4870.....

After all, I am not happy when I see so big differences in the scoring.
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Another horrifying statistics:

In MilkyWay...

This host

may crunch almost 400 000 Credits per day!!!

2xHD4870x2....

In GPUGRID fastest computer - 3xGTX295 make.... only..... almost 100 000 per day :(

NO COMMENT....
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I have a favour for administrators. Standardize the scoring so that there are no such irrational differences....

Is the MilkyWay@Home project apart from principles to which they are applying Seti@Home and GPUGRID?
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When we can expect such such optimized apps for GPUGRID?

If it is posible for MilkyWay it must be possible for GPUGRID.
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Ok, so is it possible to make for GeForce such optimized apps using CUDA?
(4-2 times faster then current aplication - appropriately so as for MilkyWay users do for Ati cards - or aplication witch will generate 4 times more credit
Is it impossible here for GeForce?)
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And 2 images:

GPUGRID:

MilkyWay:


It is clear that at the beginning of the June when an optimized program was published the project doubled its computing power and the scoring
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In the end, the credits are meaningless. The only way to have any concrete gain from distributed computing is to run folding@home for the Evga team and you can get EVGA Bucks to contribute to the purchase of an EVGA card.
I like the challenge of optimizing the system to run faster but in the end the point totals only exist to encourage people to participate. 10 points a day and 100,000 point per day are really the same thing.
The real bonus is that the computations are going to help medical science or astromomy or mathematics.

At GPU-Grid you can already get more credits per time from your nVidia card than at seti, because GPU-Grid is more optimized (and may have more GPU-friendly code)

Explain me this paradox...

857-GIANNI_BIND001-0-100-RND8741_3
Approximate elapsed time for entire WU: 31806.654 s
Granted credit 5664.88715277777

460-GIANNI_DOPc-0-25-RND4727_1
Approximate elapsed time for entire WU: 29039.251 s
Granted credit 6379.86834490741

In my opinion, for the longer counted WU more points should be granted.

Assuming that the second WU was awarded correctly, scoring first is lowered.
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In the end, the credits are meaningless. The only way to have any concrete gain from distributed computing is to run folding@home for the Evga team and you can get EVGA Bucks to contribute to the purchase of an EVGA card.

You imply that "not being meaningless" equals "concrete gain", something which you seem to define as "getting something of material value" (or something like that).

For me I'd say I get lots of concrete gain due to DC. It's a hobby, I can enjoy spending time on it whenever I want to (and other duties permit it). That's nothing to touch, but it's a very real "gain" for me.

... but in the end the point totals only exist to encourage people to participate. 10 points a day and 100,000 point per day are really the same thing.
The real bonus is that the computations are going to help medical science or astromomy or mathematics.

The credits also reflect the amount of contribution. Therefore they also exist to show people how good their systems are at what they're doing.

You're right that just by itself 10 or 100,000 credits don't mean anything, as it could be any arbitrary number / scaling factor. However, there's not just one of these numbers. The different amounts of credits enable comparisons between systems and projects (how valid these are is another question) and 10 credits do not equal 100,000 any more when your co-cruncher gets 1000.

MrS

Which has what to do with "ATI vs nVidia GPUs"?

MrS

Are there any new developments on the ATI GPU front for GPUGRID?
Are there apps based on OpenCL planned in the near future?
Thanks!

Are there any new developments on the ATI GPU front for GPUGRID?
Are there apps based on OpenCL planned in the near future?
Thanks!

you nailed it gdf. on what i was going to post.

And SETI Bêta is also testing a MultiBeam app. rev177 & rev.234(?) and a
AstroPulse app. rev521, for ATI cards. The speedgain on AstroPulse is about
10 times less runtime.(CPU time strongly depends on % radar-blanking)
~10% CPU time with 0% radar blanking.

And the Longruns here, just finished 2 of them, also takes 10-12 hours, but
more credit is given compaired to SETI CUDA.

I think the GPUGrid app. makes better use of more advanced architecture of the
FERMI, or compute capabillity 2.0 oor 2.1.



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