Message boards : Graphics cards (GPUs) : Do not get a GeForce GT 430
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NVIDIA GPU 0: GeForce GT 430 (driver version unknown, CUDA version 4000, compute capability 2.1, 1024MB, 179 GFLOPS peak) | |
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Snow Crash Send message Joined: 4 Apr 09 Posts: 450 Credit: 539,316,349 RAC: 0 Level  Scientific publications      | |
NVIDIA GPU 0: GeForce GT 430 (driver version unknown, CUDA version 4000, compute capability 2.1, 1024MB, 179 GFLOPS peak) Have you changed your preferences to no longer ask for the long WUs? http://www.gpugrid.net/prefs.php?subset=project ____________ Thanks - Steve | |
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Yes, I have ... but, I was awarded with the following message several times ... Út 26. duben 2011, 07:31:01 CEST GPUGRID Message from server: No work sent Út 26. duben 2011, 07:31:01 CEST GPUGRID Message from server: No work is available for ACEMD2: GPU molecular dynamics Út 26. duben 2011, 07:31:01 CEST GPUGRID Message from server: No work is available for ACEMD beta version It seems that I just bought a totally useless card :| | |
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 robertmiles  Send message Joined: 16 Apr 09 Posts: 503 Credit: 753,870,933 RAC: 229,503 Level  Scientific publications  | |
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Were those from when BOINC was asking for CPU workunits or from when it was asking for GPU workunits? For GPUGRID, expect all requests for CPU workunits to fail with error messages similar to those; requests for GPU workunits should work most of the time. | |
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skgiven Volunteer moderator Volunteer tester  Send message Joined: 23 Apr 09 Posts: 3968 Credit: 1,995,359,260 RAC: 0 Level  Scientific publications  | |
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Don't get a GeForce GT 430, it's not powerful enough to crunch for GPUGrid. | |
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Actually, it can finish Long run tasks in time, when running nonstop ... but if You compare the performance with the most powerful cards, then Your contribution is less then 10%. The question is, if that's enough for this project. | |
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skgiven Volunteer moderator Volunteer tester Send message Joined: 23 Apr 09 Posts: 3968 Credit: 1,995,359,260 RAC: 0 Level Scientific publications | |
Actually, it can finish Long run tasks in time, when running nonstop ... but if You compare the performance with the most powerful cards, then Your contribution is less then 10%. The question is, if that's enough for this project. OK, the GT430 works but it's not recommended because its so slow. The time limit does have to be so strict, in fact it could probably do with being more strict. If you dont return a task within 2 days it gets resent to another cruncher, usually a faster card so it gets returned asap. Sometimes it can take about half a day to send it, but basically if you cant finish a task within 3days the task will be run in duplicate, making your efforts worthless and possibly slowing down the project. The time limit is 5days, not 6. The Scientists decide. By 10days your task will have been run by another card, returned and the results used to build new tasks, which in turn would have already been crunched and returned and used to produce more tasks. Time is key. Stick to the normal length tasks only. If these can finish within 2 or 3days then the card under your setup is doing something positive. If not there is no point crunching with it at GPUGrid. | |
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Ok ... that's the important thing I had no idea about. If the unfinished tasks block creation of new ones, then slow cards can affect the whole project negatively. Unfortunately the default settings for this forum lead to old messages being displayed first and that's why I decided to buy GT430. According to the Message 7753, the GT430 is recommended. That's why the list/table of recommended and not recommended cards should have a separate page and shouldn't be a part of the forum. It forces people to read the whole thread and that can sometimes lead to mistakes. | |
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skgiven Volunteer moderator Volunteer tester Send message Joined: 23 Apr 09 Posts: 3968 Credit: 1,995,359,260 RAC: 0 Level Scientific publications | |
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I cannot change the web site (front page links, or default thread ordering), and I did say in that thread that the GT430 is not recommended. I'm a bit surprised why you went by a 2year old post from a cruncher that has not crunched for some time rather than by what I suggested, but New members do struggle with many aspects of crunching and using the forums. | |
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CJ in Seattle [BlackOps] Send message Joined: 3 Mar 09 Posts: 35 Credit: 434,840,087 RAC: 0 Level  Scientific publications | |
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Just budget for a $200 or so card brand new and you can have confidence it'll do the project some good. ;) | |
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Because that 2 years old thread was linked from the main page / System requirements section and I was simply not wary enough and too rash. That was the only thread I had read before buying the card. That's it. Now the thread is hidden for administrative purposes and that's good! Fortunately I found different projects, where GT430 is still considered a very powerful card. In fact it seems to be 16 times faster than my 2.33GHz Core2Duo CPU for the offered tasks! | |
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skgiven Volunteer moderator Volunteer tester Send message Joined: 23 Apr 09 Posts: 3968 Credit: 1,995,359,260 RAC: 0 Level Scientific publications | |
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The GT430 was never a powerful card, more of an entry level card. Glad it's of use elsewhere. | |
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Well ... now I know it isn't powerful if we compare it to other graphics cards, but it seems to be faster than available CPUs for some kind of tasks. It's a pity, that so many projects offer CPU tasks only, whilst low performance GPUs could do the job better :] | |
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skgiven Volunteer moderator Volunteer tester Send message Joined: 23 Apr 09 Posts: 3968 Credit: 1,995,359,260 RAC: 0 Level Scientific publications | |
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It's true that the GT430 is probably twice as fast as a top CPU (i7) for some things, and much less expensive, so I share your concerns. As yet, the great unrealized potential of GPU based research remains far from being achieved. | |
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ExtraTerrestrial Apes Volunteer moderator Volunteer tester  Send message Joined: 17 Aug 08 Posts: 2705 Credit: 1,311,122,549 RAC: 0 Level  Scientific publications | |
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The problem with GPUs is that while they pack an impressive amount of raw horse power, it's much more difficult to actually use it. That's why most current GPU projects are the ones using relatively simple algorithms, with the exceptions being GPU-Grid, Einstein, SETI and Folding@home (non-BOINC). None of these manage to extract as much work from the cards as the "simple" maths projects (Collatz, DNETC, PrimeGrid). Other projects would fare even worse.. without substantial effort. | |
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Message boards : Graphics cards (GPUs) : Do not get a GeForce GT 430
