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Thread Status: Active Total posts in this thread: 9
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Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
I have currently two machines running for WCG with only integrated/very low-tech GPUs that cannot be used for GPU projects in any meaningful way. I'm thinking about what to buy next. Another CPU cruncher (probably a Ryzen 2700 when it comes out) or add a GPU (like GTX 1070 or GTX 1080) to my current crunchers to also crunch a GPU project?
My focus is the science and the potential benefit for mankind that a project could bring. Points are only of interest to me to measure the contribution I make. I am aware that GPUs perform much pore computations and deliver more points, but as I do not think that this necessarily leads to better scientific results, that is of no big significance to me. My current thoughts are: 1. If there is no GPU project that is equally worth to be supported, I will stick with pure CPU crunchers for WCG 2. If there is, running mixed CPU/GPU crunchers for WCG and a GPU project should be more efficient than separate crunchers running either CPU projects only or GPU only. I think WCG is really good from a scientific/potential impact standpoint. From what I have read, Folding@home and GPUGRID might be good choices running on GPUs. Are they equally good scientifically as WCG? Why? Any other GPU projects you would suggest? (BOINC or non-BOINC doesn't matter) What do you think? Should I just add more CPU cores to WCG or some less cores + GPUs for other projects? |
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Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
I have heard of folding @ home, but never looked into it. I recently built a ryzen 1700 system, and since it has no integrated graphics, I added a gtx 1050 to drive the monitor. I tend to prefer working on WCG only, but wish they would add gpu work.
Me personally, I would build the ryzen system, throw a low end gtx card in there, and then you could do both cpu and gpu work (you'll need dedicated graphics with the ryzen anyway, unless you get an apu) I will keep an eye on the thread to see what others views are on Folding and GPU Grid. I recently beefed up my oldest sons computer with a 650w G3 80+Gold PSU and a gtx 1060, so with the 1050 and 1060 it might be worth while for me. (Still keeping fingers crossed for a gpu project here though) |
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Jim1348
Veteran Cruncher USA Joined: Jul 13, 2009 Post Count: 1066 Status: Offline Project Badges:
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I have currently two machines running for WCG with only integrated/very low-tech GPUs that cannot be used for GPU projects in any meaningful way. I'm thinking about what to buy next. Another CPU cruncher (probably a Ryzen 2700 when it comes out) or add a GPU (like GTX 1070 or GTX 1080) to my current crunchers to also crunch a GPU project? I am doing the same thought process, but am a little further along on what I have. In short, the GPU projects are getting rather thin. Folding is nice (I have two Maxwell and four Pascal cards on it), but they haven't upgraded their software for awhile and I am going to wait until they come out with Core 22 before pushing on to the next generation cards, probably late this year or sometime next year. I think you can afford to wait in other words for the Volta, and get the benefits of it on the new core. I currently think that CPU projects are more interesting for a variety of sciences, both biomedical research, physics and astronomy if you are interested. I just finished a Ryzen 1700 build myself (Ubuntu 17.10), and will be building a Ryzen 2700 next year. I always give them six months after introduction to get the bugs out, or at least identify them, which saved me the "segfault" errors on the 1700, not to mention the memory compatibility problems. But the 2700 is just a die shrink, so such caution may not be quite so necessary. Good luck. PS - If you need another biomedical CPU project, the great Rosetta is the one to get. Dr. Baker will undoubtedly be receiving a Nobel Prize before long; it is just a matter of when, not if. https://www.nytimes.com/2017/12/26/science/protein-design-david-baker.html?_r=0 However, as I have posted on their forum, my Ryzen does not do so well on it in terms of output or errors. I use my Ivy Bridge chips instead, with Ubuntu 16.04, and save the Ryzen for here, where it does great. [Edit 3 times, last edit by Jim1348 at Jan 15, 2018 2:20:21 AM] |
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KLiK
Master Cruncher Croatia Joined: Nov 13, 2006 Post Count: 3108 Status: Offline Project Badges:
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You have to know that GPUgrid will run under BOINC, but I think folding@home is running on some other software. Check it out!
----------------------------------------Also, GPUgrid is a heavy project to get into. It might run for you some 1-2 years with that GPU, but soon it will run over. AvgRAC for Gridcoin member is something about 270k RAC. Which is A LOT! But it all depend what your preferences are. All are worth donating for. ;) |
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Jim1348
Veteran Cruncher USA Joined: Jul 13, 2009 Post Count: 1066 Status: Offline Project Badges:
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The problem with GPUGrid (I have done it a lot) is that they don't always have work. They can keep your GPU busy for several months, and then very little for months more. Folding always has work, but you do need to install its own software. I use both Folding on the GPU and BOINC for CPU work on all my machines (five Ubuntu and one Windows).
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hchc
Veteran Cruncher USA Joined: Aug 15, 2006 Post Count: 865 Status: Offline Project Badges:
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Was gonna second Rosetta@home for a GPU project.
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[Edit 1 times, last edit by hchc at Jan 16, 2018 7:15:17 AM] |
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Speedy51
Veteran Cruncher New Zealand Joined: Nov 4, 2005 Post Count: 1326 Status: Offline Project Badges:
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Was gonna second Rosetta@home for a GPU project. I think you mean CPU to my knowledge they do not a GPU client I believe there software does not one on GPU's ![]() |
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marathon
Cruncher United States Joined: Mar 31, 2013 Post Count: 5 Status: Offline Project Badges:
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If you are going to run tasks on a graphics card, you might want one with liquid cooling.
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Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
If you are going to run tasks on a graphics card, you might want one with liquid cooling. Why is that? Liquid cooling would likely prolong the life of the card, and keep it cooler so you could probably overclock. But the expense of modifying an existing card (assuming it isn't liquid cooled stock) with an expensive water block, and adding a radiator seems like a lot of expense. I am not particularly a fan of OEM design cards that just blow hot air back around in the case, but they seem to work fine for gamers. Granted, that is not the same as 24/7 computing. I much prefer the blower style of Founders Edition cards for compute. This design pulls air from inside the case, across the heatsink, and out the back of the computer. The cards can be stacked next to each other, and won't overheat like OEM design will. We have machines with up to 4 and 8 reference design cards at work for compute purposes, and with proper case flow, the cards don't even get close to thermal throttling. |
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