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Profile [AF>HFR>RR] ThierryH
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Message 6401 - Posted: 1 Jul 2008, 15:28:32 UTC
Last modified: 1 Jul 2008, 15:29:46 UTC

Your university is the first CUDA Excellence Center in the world since a few days and receive $500.000 from nVidia. Do you plan to put Cosmology@Home on CUDA ?
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Profile Scott
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Message 6402 - Posted: 1 Jul 2008, 21:26:19 UTC - in response to Message 6401.

Your university is the first CUDA Excellence Center in the world since a few days and receive $500.000 from nVidia. Do you plan to put Cosmology@Home on CUDA ?

Are there currently plans to do this? No.

Have we been discussing this for the future? Definitely.
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Profile [AF>HFR>RR] ThierryH
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Message 6406 - Posted: 2 Jul 2008, 10:08:53 UTC - in response to Message 6402.

Good.
Thank you for your quick answer.

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jziembinski
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Message 7783 - Posted: 9 Jan 2009, 21:41:42 UTC - in response to Message 6402.


Are there currently plans to do this? No.

Have we been discussing this for the future? Definitely.

thats mean one thing - advancement...

Profile [af>FRANCE>44>Nantes] Einstein-Rosen-Podolsky
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Message 8064 - Posted: 10 Apr 2009, 5:06:12 UTC

some news of computing on CUDA ?
Or on OpenCL ?

With the third version of CUDA wich come Q4 2009, we can use CUDA and OpenCL

CUDA is Nvidia
and
OpenCL is ATI.

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Message 8066 - Posted: 10 Apr 2009, 6:56:29 UTC - in response to Message 8064.

CUDA is Nvidia
and
OpenCL is ATI.

Correction, OpenCL is a standard on its own. CUDA will eventually do OpenCL as well, possibly already at CUDA 2.2 (still in beta).

CAL is AMD/ATI at this moment, but that's not supported. ATI support will be added to BOINC 6.8, but under what form exactly is still unknown.
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Profile [af>FRANCE>44>Nantes] Einstein-Rosen-Podolsky
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Message 8241 - Posted: 27 Apr 2009, 17:05:02 UTC

i think for cosmology it's like milkyway, for a best precsion we should use RADEON 4770 or 48xx, etc, graphics cards works in double precision.

is'nt it ?

Will
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Message 8469 - Posted: 8 Jul 2009, 19:01:37 UTC - in response to Message 8066.

The ATI GPU programming system is now called Stream.

Would like to see Cosmologyathome pursue both CUDA and Stream algorythms.

They have a Stream system for Milkyway@home and it processes what have been 2-3 hour work units in ~2 minutes. That is some huge improvement in productivity.

Cheers.
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Message 8472 - Posted: 10 Jul 2009, 15:14:20 UTC - in response to Message 8469.

Nevermind! Nothing worse than a know-it-all that knows nothing. I see that CAL is the language for the "Stream" system. Sorry for the "correction".

Will is now going to go kick himself :)

A little knowledge is a dangerous thing...and I have so little knowledge.
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JLConawayII
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Message 8969 - Posted: 30 May 2010, 19:15:10 UTC - in response to Message 8472.

I would also love to see CUDA support for this project. There are certain less worthy CUDA projects running on my systems that I would gladly replace with this one.

Profile microchip
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Message 9624 - Posted: 31 Oct 2011, 15:11:43 UTC

+1 for GPU processing :)

.clair.
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Message 9628 - Posted: 1 Nov 2011, 2:04:26 UTC

It would take a very big rewrite of the software,
and it depends if the calculations being carried out by it would gain benifit from masivly multithreded processing that a GPU can do.

kararom
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Message 9629 - Posted: 1 Nov 2011, 15:39:47 UTC

--1 for GPU processing...

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Message 9632 - Posted: 2 Nov 2011, 12:50:29 UTC

I think I've seen some Fortran compilers that can compile to CUDA. Not very cheap, though, so it might take significant donations first.

The main feature needed for programs that can run well on GPUs is many sections of the program that can run in any order because none of them depend on the results of the sections that will run at the same time.

If you need double precision, expect the suitable Nvidia-based boards to be restricted to be GTX 2xx series, just one laptop-compatible board, and the desktop-compatible boards based on Fermi chips.

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Message 9633 - Posted: 2 Nov 2011, 14:04:14 UTC

I just finished a web search for such compilers. Apparantly, there is only one available, and their pricing is complicated enough that negotiating with them about BOINC use is probably needed.

http://www.pgroup.com/resources/cudafortran.htm

http://developer.nvidia.com/cuda-fortran

http://forums.nvidia.com/index.php?showtopic=156856


Howerver, a Fortran to CUDA translation program is apparantly available:

http://www.esrl.noaa.gov/gsd/ab/ac/F2C-ACC.html

Profile Benjamin Wandelt
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Message 9634 - Posted: 3 Nov 2011, 1:23:43 UTC - in response to Message 9633.

Hi -

Thanks for these pointers! I did not know about the Fortran to CUDA translator - will have to look into that.

Thanks,

Ben
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Message 10075 - Posted: 12 Feb 2012, 1:05:25 UTC

For any users who want to run OpenCL GPU workunits:

The 7.0.* series of BOINC versions appear to be the first ones that support doing this very well. All still in beta test, though. I've been using 7.0.3 lately while waiting for some sign that a later version is better - such as release from beta testing or some BOINC project I'm participating in saying that they need some feature from a later version.

Message boards : Wish list : CUDA