Found an
ERROR with an GTX480. No NOT this one, when I 'clicked'the link, I got :Unable to handle request?!

Since I have one myself, now crunching GPUgrid and Einstein and SETI waits to
install and run the new servers, soon I hope. I haven't tried a GTX480 & 470 on Milky Way. Curious if it beats an ATI 5870 and 4850, which I use now, with an Q6600, 650Watt PSU, is just enough to feed both cards and CPU, 550Watt, when used @ 100%, use (cold)air from outside to feed the intake fans.
Only useable if it's colder outside, most of the time, like the Netherlands :), can even make/replace a heater, only the fan noise, can be too 'present'.



It seems like the cards Compute Capabillity is wrong, it has to be 2.0, not 1.3.(OK for GTX260 and up)

---

Knight Who says Ni

I tried my 460 on MW, it was coming in at 12:30 a unit, way slower than my 5830 and slower than the 4830 that it replaced.

---

Is Cluster Physik involved in the ATI app development?

No. He disappeared before I got here, and never gave anyone the source. I don't understand why it was ever deployed without the source, but in any case we don't have it, and Cluster Physik has disappeared and stopped replying to messages so it needs to be replaced.

Ouch, not good. His apps were highly optimized. He also provided applications over at Collatz as Gipsel. Did a little detective work, not sure if the information is correct. Here's a reference to him as Dr. Andreas Przystawik (PhD), aka Gipsel/Cluster Physik:

I'm one of the donors and one of the user in the community always asking for some news and updates from scientists behind the projects.
Anyway, this is a great article, but it doesn't stress enough on the merit of the community. If we had not been so active, milkyway wouldn't be second fastest distributed computing project.
Nowhere in the article is cited the great work by Andreas Przystawik (PhD), aka Gipsel/Cluster Physik in the community. Without his work, GPGPU on milkyway would be a dream and 1 petaflop would be far far away, so the researches at Rensselaer institute.

http://www.physorg.com/news185028222.html

Will send his e-mail address to you privately.

I have a new NVIDIA GTS 450 w/1024MB DDR5. BOINC reports it as follows:
'Tue 16 Nov 2010 11:19:53 AM EST NVIDIA GPU 0: GeForce GTS 450 (driver version unknown, CUDA version 3020, compute capability 2.1, 1023MB, 421 GFLOPS peak)'
This card doesn't appear to be recognised although according to NVIDIA, it has double precision capability. Is it an application issue?

Thank you

Hi, will there be support in the future for the new ati hd 6850 and 6870 series?

Hi, will there be support in the future for the new ati hd 6850 and 6870 series?

See here

-Dave

---

Hi, will there be support in the future for the new ati hd 6850 and 6870 series?

ATI GPU supported projects - AKA Milkyway, Collatz, DNETC, and others - will run their crunching clients for ATI/AMD GPUs as is normal up to now. For GPUs that do not support double precision (HD57xx cards and the new HD68xx) these should work OK with the standard GPU client on Collatz, DNETC, etc, but not Milkyway (as we already know).

The cards that support double precision - HD38xx, HD48xx, HD58xx and the new HD69xx should also work on Milkyway, as well as the other mentioned projects.

As I understand it - the new HD68xx cards are up to 40% faster than the HD57xx equivalents (HD5750 and HD5770) they supersede.

ATM the fastest double precision ATI/AMD cards currently in the market are the HD5850, HD5870 and the HD5970 range. This will remain true until early December when the HD69xx cards will come in to the market.

---

Go away, I was asleep

Hi, IU was just wondering if the FireGL V7700 would work with Milyway?

Thanks!

This pages says it does support double precision which means that it will work on MW.
http://www.beyond3d.com/content/news/613

---

I see, thanks a lot.

Why are there not GPU WU's being dragged down right now?

Just wanted to know why my FirePro v5800 isn't use by Milkyway. It seem to be recognize as ATI Radeon HD5700.

(Windows 7 64 bits, Last driver version 8.773)

Is it normal ?

Thanks

---

The FirePro V5800 is based on a Radeon HD 5770 (Juniper XT RV840) clocked at 700MHz so as to remain under the 75 watt PCI Express bus limit and thus not require a power connector.

As far as I know Juniper class cards do not have the double precision capability necessary for MilkyWay.

I just had the wrong drivers installed.

Needed the FireGL CCC and not..."other" CCC.

So the V5800 would run faster than the V7700?

Glad you got it working Black_Jac.

I don't think Philippe85 will have the same success as I believe his FirePro V5800 does not support double precision. With suitable drivers, FirePro V5800 should work for single precision projects such as Collatz Conjecture and DNETC@HOME.

I'm getting a new Nvidia GTX460 card tomorrow for my @home computer and was wondering if Milky Way will detect it and it's double-precision capability when it starts up or will I have to do something like detach/re-attach to the project.

The old cards although Cuda-capable did not support double-precision.

Thanks for any help that you can provide.
Steve

I'm getting a new Nvidia GTX460 card tomorrow for my @home computer and was wondering if Milky Way will detect it and it's double-precision capability when it starts up or will I have to do something like detach/re-attach to the project.

The old cards although Cuda-capable did not support double-precision.

Thanks for any help that you can provide.
Steve

You will need to install a modified app for the 460 to actually run on Milkyway.
http://www.arkayn.us/milkyway/MW_0.24_CUDA.zip

That allows the Fermi cards to run the work units.

---

Thanks for the information.

I should have mentioned that I'm running 64-bit Ubuntu 10.10 (the current version). Is there a Linux version?

Thanks,
Steve

I think you should be fine then as it was only on Windows that we had the issue.

---

Ok. Great.

Thanks for the information.

Regards,
Steve

Ok, now I have a new problem.

When I first installed the @home apps a few weeks ago with my old Nvidia cards, all of the apps could see the GPUs.

Then, because I was having trouble getting Einstein to run, I did a complete detach, re-install, and re-attach. After that, none of the apps see the GPUs. The two apps that should use the GPUs are Cosmology and MW.

I'm running 64-bit Ubuntu (10.10) with the latest Nvidia driver. I've got a monitor attached to each graphics card and am using Xinerama to span the desktop.

Also, I've modified the config.xml file to "use all gpu's" option as suggested in the FAQ and I've run out of ideas.

At the moment, I'm thinking about setting the machine to not accept any new work,finishing the existing WU's and then detaching and re-attaching to each project.

Does anyone have any other suggestions for getting the GPUs recognized and engaged?

Thanks for any help that you can provide.

Steve