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Re: Rice results updates

The applications so far, including the GPU version of protein prediction engine, were implemented using the ATI SDK 1.4 which uses Brook+ and have been tested on a 4770. Right now they *should* work on any card that supports gather and scatter streams which I believe are 3xxx and above. I say *should* because I found that ATI's implementation of Brook+ was not completely robust on Linux and I had to write around some "undocumented" features. Because ATI has moved to OpenCL, I intend to convert the routines to OpenCL which should be straightforward and should allow cross-compatibility with the NVIDIA cards.

For the most part, accuracy is not a problem with single precision (with the exception of one or two key variables that keep large sums and even there it coiuld be done in SP ). Actually, much of the work involved was converting the code to use 4-vector single precision math to exploit built-in optimizations.

For our own applications, the newer 40 nm cards (ATI 4770 and above and the next-gen NVIDIA cards) are where we are aiming at because of the low power consumption relative to TFLOPs. When running a cluster of machines 24/7, and not a single gaming rig, power consumption and heat dissipation are the limiting factors to the number of TFLOPs available.

Hong
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cristipurdel
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Re: Rice results updates

That's the most encouraging news I heard in years related to boinc. Going for the low-end cards, which are more efficient, and also using OpenCL it's very promising. Removed the link, forgot that it had restricted access.
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[Edit 1 times, last edit by cristipurdel at Jun 11, 2010 9:31:58 PM]
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Re: Rice results updates

Fix your link please cristipurdel , or which is the meaning of it, preview always before posting

Edit and link removed, tks
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[Edit 2 times, last edit by Former Member at Jun 11, 2010 10:12:18 PM]
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Re: Rice results updates

Thanks Hong for the update
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Randzo
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Re: Rice results updates

Thanks for the update.
Good news indeed.
And GPU version will be calculated on WGC platform or in house?
Wish you good luck wit project.h
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[Edit 1 times, last edit by Randzo at Jun 13, 2010 8:31:11 PM]
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Re: Rice results updates

cristipurdel:

Actually, by specs, the most efficient cards are the monster 5970s but the newer budget cards are almost as efficient.

Rando:

The applications that I have mentioned are useful to protein structure prediction as a whole and not just this project. The GPU work really opens up a lot of possibilities for structure prediction, if properly exploited.

As for the analyses of the results, that is being done on our own cluster.
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Randzo
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Re: Rice results updates

Thanks for responce.
Wish you all the best with projest.
Please don`t forget on WCG since you will be not using our platform
and write few word about your progress.
We really look forward to it.

And is there any possible cooperation with HPF2 folloving Human Microbiome Project ?
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cristipurdel
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Re: Rice results updates

Any updates on the gpu version? Maybe an e.t.a. for the beta?
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Falconet
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Re: Rice results updates

@cristipurdel

The won't be a GPU calculations at WCG.They are doing it on their own computers
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Re: Rice results updates

Just a brief update on progress.

We have submitted the first technical paper regarding the application of GPUs to NRFW to the journal, Bioinformatics. We should be hearing from them soon.

We are planning to use the ProtinfoAB engine, in collaboration with Gane Ka-Shu Wong from the University of Alberta, for a new project which is in its early stages to predict the structures of 1000 plant genomes. That's right, 1000 different species. If WCG starts supporting GPUs before the project is launched, and it is early days, it is possible that a GPU enabled ProtinfoAB engine will be used

We are in the midst of writing a grant application for funding to analyze results for both the NRFW project and the 1k plant project. The science, technology and sheer scale of the project is exciting...

Hong
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