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World Community Grid Forums
Category: Support
Forum: Suggestions / Feedback
Thread: gpu accelaration? |
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Thread Status: Active Total posts in this thread: 8
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Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
CUDA (nvidia) and Stream (AMD/ATI) provide the possibility to handle computational projects 40 (even more) times faster than cpu processing. Every card from 8xxx and newer (Nvidia) or from 3xxx and newer (ATI) can support this new technology. I think it is waste of energy to run a WU for 6 hours (cpu processing) when everything can be done in 30 minutes (gpu processing).
Even mainstream applications like photoshop are getting gpu acceleration as we speak. video encoding is getting gpu acceleration as well. Folding at home can take advantage of both nvidia and ati hardware. I think that boinc client developers should create a gpu accelerated client. I am quitting the project until the scientists (who ask help from us) develop a proper client which will take advantage of the Gflops our computers can provide. I think that everyone should quit the project until the client developers create a proper client that takes advantage of the hardware we can put to work. |
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JmBoullier
Former Community Advisor Normandy - France Joined: Jan 26, 2007 Post Count: 3715 Status: Offline Project Badges: 
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I think that everyone should quit the project until the client developers create a proper client that takes advantage of the hardware we can put to work. Do as you like regarding your own choices and decisions: it is your machine(s), your preferences, and we have no problem with that. But please do not encourage others to leave. That would have the adverse effect of delaying research instead of accelerating it as you believe. Still, before leaving you might do a forum search on "GPU" and review the many threads (these last days there is a new one every other day) where all serious reasons have been given why scientists are not doing what you think they should. There you will find an important reason which is the time it would take to develop a GPU application for research which would fulfill WCG's quality and reliability criteria. Since projects run in WCG have usually a short life when compared to endless projects it would take longer for scientists to develop these GPU versions than to run their project with conventional and already tested software. And since they are impatient and more interested by bio-research than by computer research their decision is easy to take. Not forgetting those projects which are not suitable at all for the GPU architecture. There are many. Cheers. Jean. |
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Sekerob
Ace Cruncher Joined: Jul 24, 2005 Post Count: 20043 Status: Offline |
Even mainstream applications like photoshop are getting gpu acceleration as we speak. video encoding is getting gpu acceleration as well. Folding at home can take advantage of both nvidia and ati hardware. Summing it up, the grid science using GPU is in infant stages. F@H, so is the word, had to basically throw away the results from their GPU1 client and have just launched GPU2 to have another go. Disposing of results is not what we do here. We're looking e.g. for compounds that can help cure awful diseases. The current BOINC client is able to recognise the card accelerators and the coming versions will further facilitate the actual use. When, I don't know. Meantime, I continue to travel with the vehicles that are around now and hope to be able in my lifetime to take a daytrip to Auckland, just for lunch.
WCG
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Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
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Jord
Advanced Cruncher Joined: Dec 30, 2005 Post Count: 148 Status: Offline Project Badges: 
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No please don't... then my Banish Author finger will be itching.  As Rob said, the new client can already use GPU and CELL applications, IF projects provide them. Thus far I haven't seen any of them provide one, not even for testing. 06-Jul-08 02:14:15||Starting BOINC client version 6.2.11 for windows_intelx86 06-Jul-08 02:14:30||No coprocessors See http://boinc.berkeley.edu/trac/wiki/AppCoprocessor
Tears in my eyes
----------------------------------------How they fall like rain to the floor [Edit 2 times, last edit by Ageless at Jul 7, 2008 4:53:25 PM] |
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Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
if you know some food which growth at other planets is far better for your body than ordinary food, you'd better stop to eat rice, breed,meet etc from now on. and wait for that special food.
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Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
We now have an alternative to Folding@Home for GPU processing. Look at http://www.gpugrid.net/ run by the Computational Biochemistry and Biophysics Laboratory , Research Unit on Biomedical Informatics (GRIB) at University of Pompeu Fabra, within the Barcelona Biomedical Research Park (PRBB) at Barcelona, Spain. They are running scientific work units for the Sony Playstation PS3 and for Linux 64 using the Nvidia GPU.
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Sekerob
Ace Cruncher Joined: Jul 24, 2005 Post Count: 20043 Status: Offline |
Wonder how participants are going to persevere in booting in and out of Linux on a jumpdrive. It's not like it's using idle cycle use. It's either game set-up or crunch set-up.
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WCG
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