Video Card Folding
This is a discussion on Video Card Folding within the Forgotten Hope on Folding@Home forums, part of the Battlefield Mod: Forgotten Hope category; Well I havn't been keeping up with F@H happenings so I totally missed that they now support Nvidia as well ...
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#1
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| Well I havn't been keeping up with F@H happenings so I totally missed that they now support Nvidia as well as the new generation ATi cards. Don't ask me for any pointers on how this works since I havn't tried it yet. I think I'll give it a go come cooler weather. I just browsed across it on the F@H web page Folding@home Anyone want to try this and give a report that would be really cool! |
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#2
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| apparently they dropped support for older cards (x1950xt here)? I have 8.7 drivers... tells me its not supported. |
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#3
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| I did not pay much attention to the new developments with F@H either. Until yesterday when I read on another forum that an 8800 can produce from 3k to 5k PPD with the new GPU client. I installed the console GPU client last night and while it uses 100% of one CPU core in addition to the GPU, it is good for about 4800 PPD on my system (they give big bonus points for this client). The configuration for the console GPU client is very straightforward and similar to the one for the console SMP client. A dedicated Intel quad core machine + Nvidia G92 GPU can produce around 7k PPD between an SMP client and a GPU client, using three of the CPU cores and the GPU. Put those GPUs to work. We need to make it into the top 400. We have spent several months within striking distance of top 400. |
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#4
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So you are saying you can run one G92 and 3 cores of a quad? Do you know if you can run 2 G92 clients and a 2 cores of a quad? I have SLI 8800GTS G92's in one machine. |
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#5
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| In my case, I run an SMP on 2 of the cores, and the GPU2 client on a 3rd core + the GPU. One CPU core is idle. One could run an SMP on 3 cores and I guess they would do somewhat better. However, my SMP is in a Linux VM and I can assign at most 2 cores to a VMWare machine. Yes, you can run more than one GPU client on one machine. As with the SMP clients, each one must have its own directory and machine id. Additionally, you need to specify which GPU to use for each client using the -gpu N argument. Follow this link: Folding@home - FAQ-ATI2 So in theory, on a quad core machine you could run an SMP client on 2 of the CPU cores, and 2 GPU clients on the other 2 cores + 2 GPUs. Or you could just run the the two GPU clients. They produce a lot more points right now. Finally, I have a custom affinity changing program that I wrote when I got my quad to deal with my setup (Linux VM machine + a Windows SMP client at that time, and now VM machine + Windows GPU client). Its advantage over the one that you found (which I never used since it was detecting only Windows SMP clients) is that it also detects which 2 cores of an Intel quad are on the same die. It places one client onto the two cores of one die, and the second client on the second die. Processes can communicate faster through the shared L2 cache if they are on the same die. I was planning to make it a bit more general where you can modify a configuration file to create profiles for different programs (not just for folding) and release it if anyone is interested. Right now it is hardwired for my setup. |
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#6
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I also fired up a 3rd quad for this. Stangly it's only getting half of the PPD as the other 2 rigs. The other 2 rigs have a factory overclocked 8800GTS G92 and are running at 4997 PPD while my quad with the 8800GT is only getting 2693PPD. It's also factory overclocked. I thought the GTS's were only a hair off of the GT's performance wise... guess not. I'm not bothing firing up my 4th quad yet. I looked at the ATi points and they are only half of the Nvidias points so not worth the extra heat right now. Maybe this winter. I have an ATi HD 3870 in that machine. I'm not running any affinity on these. I just installed the GPU clients to use CPU2 and the single SMP client to use CPU1 on each machine. Would setting the affinity benefit any? |
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#7
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First, did you try disabling SLI and running your cards in multi-display mode? I think if SLI is enabled the driver might see both cards as device 0. Not really sure about this since I never used SLI. From what I read here: Guide to running the client on multiple NV GPUs - Xtreme CPU you also need a monitor connected to each card to get it recognized under Vista. That seems quite a lot of trouble. Second, did you check the affinity of processes FahCore_11.exe in Windows Task Manager? I know when I first ran the GPU client, before I modified my affinity changing program, the FahCore_11.exe process had affinity set to CPU 3 by default. So I wonder if you run two GPU clients from two different directories, if maybe they both get assigned to core 3 or some other different core. You can check the affinity of any process in the task manager (press Ctrl+Shift+Esc to open it up, go to the "Processes" tab, right click on any process and select "SetAffinity..." to check or change its affinity). You should have one FahCore_11.exe process for each GPU client. The SMP client processes are named diferently (FahCore_a*.exe). If both GPU clients use the same CPU core, that can easily cut your PPD in half. The performance of the GPU client is very dependent on the performance of the CPU. Quote:
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Setting the affinity helps with cache locality. The impact on an application's performance vary from application to application. You've noticed it for yourself with the SMP client. The problem of assigning N processes to M CPUs in an automatic way to maximize performance, is very complex for the general case. There are many trade-offs, especially if the processes or the CPUs are heterogeneous. This is an active area of research. Sometimes there are also usability considerations. My machine is not dedicated for folding. My Linux VM client is running 24/7, even while I play games. So I assign the VM to half of the chip, while the other programs use the other half. The two halves have separate cache hierarchies and share only the bus to memory. This way I keep disturbances to a minimum. When I do not use my desktop for heavy stuff (most of the time), I let the GPU client run as well. You could test the impact of different affinity settings by changing the affinity manually in the Task Manager (following the instructions above). But it takes some time to do this experiment well. After each change you need to let it run for a few percentage poinst to see how it affects the PPD production. As I said, I want to do my program a bit more general which would make it easier for such experiments, but this will take a bit more time. |
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