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Thread Status: Active Total posts in this thread: 43
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Falconet
Master Cruncher Portugal Joined: Mar 9, 2009 Post Count: 3315 Status: Offline Project Badges:
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Zinc, have you ever seen any results from them (F@h)? Have they ever published anything worth seeing? TIA, b. I'm not trying to start a debate between WCG and F@H, but yes they've published several interesting peer reviewed articles, a full list is on their page. https://folding.stanford.edu/home/papers/ I'm curious, what are results from WCG? I can't find a list on the website of published papers or results, just completed projects. I've dedicated a lot of CPU time to WCG so I'm wondering myself, not trying to start an argument. I've recently started with F@H because my GPU is not being used at all by WCG. I can't run GPUGRID because they don't support Pascal GPUs (I have GTX 1060), but F@H supports my card just fine. I've never folded with a GPU before, but wow... GPUs are much more powerful than CPUs at folding. My GTX 1060 gets 350k ppd while my overclocked i5 3570k gets about 20k. I really don't understand why WCG doesn't take advantage of GPUs more given how much more powerful they are. It's such a waste to not use the GPU, and I'd much rather use my GPU towards WCG because F@H has like 100x the computing power of WCG and clearly needs the help (no doubt this is partly due to GPU support...) Off topic but I suggest you browse the news section. Plenty of science updates, paper announcements, etc http://www.worldcommunitygrid.org/about_us/displayNews.do ![]() - AMD Ryzen 5 1600AF 6C/12T 3.2 GHz - 85W - AMD Ryzen 5 2500U 4C/8T 2.0 GHz - 28W - AMD Ryzen 7 7730U 8C/16T 3.0 GHz |
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deltavee
Ace Cruncher Texas Hill Country Joined: Nov 17, 2004 Post Count: 4894 Status: Offline Project Badges:
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I really don't understand why WCG doesn't take advantage of GPUs more given how much more powerful they are. This is not WCG's decision. They provide crunching for work provided by the project scientists. You need to start at the source and ask the scientists, not WCG. |
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mmonnin
Advanced Cruncher Joined: Jul 20, 2016 Post Count: 148 Status: Offline Project Badges:
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Some projects/calculation aren't suitable for GPU work. GPUs need a lot of parallel data, think of all those small cores on GPUs. If the data is serial ( calculate one piece then use it for the next and so on) then its probably going to be hard for GPUs to really be fully utilized. Some BOINC projects keep GPU load at 99/100% while others struggle for 60% on a single task. Those probably are not parallel enough to load up the GPU. FAH works as there are thousands of atoms that are having their positions calculated. Some WUs have 100-200k atoms. The data is structured different and allows for GPU to be used. FAH went a long time before they introduced a GPU WUs. A project also needs to be around long enough to be worth the effort setting up and testing GPUs.
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