![]() This offers me 98% of the PPD (points), at 73% of the GPU's power consumption. There's still only 1 GPU project active per GPU in Boinc.Īre these config files (both cc and app) really working, like on the manual?įor Folding, I can load 1 project (or WU they call it) into the GPU, and change stock power levels (170W) to power capped (125W) and overclocked. Seems like the above line was just phantom (probably a better task was loaded right after I edited the config.xml file. I also have forced up to 3 projects per GPU from Einstein, by creating the following app_config.xml file inside the I regularly see full GPU load in nvidia-smi now. If he has a specific computer program which is used only for viewing TV, he can useīOINC will suspend use of GPUs whenever the executable is running.to keep crunching and viewing separate: but if he uses a generic tool like a web browser, that may switch off BOINC's GPU computation too readily.So, I finally managed to run Boinc on my Nvidia RTX 2060 and Intel IGP, as well as on the CPU. Solving this problem partly depends on how empl watches television. I'm a user of NVidia cards: in general I find that applications programmed using the CUDA programming system are less intrusive than those coded using the rival OpenCL system. Some project applications may interfere less than others with use of the GPU for its primary purpose of rendering images on screen: testing that to find an acceptable compromise will have to be done on the particular machine in question. Your app_config fragment will operate as you describe to limit the number of tasks running on the CPU, but the single running task - once launched - will be free to grab every available resource and we're back to square one. So far as I know from talking with GPU developers, the GPU runtime support tools (installed as part of the GPU driver bundle) don't provide any API hooks to support throttling (though admittedly the developers I talk to are all motivated to provide maximum possible performance, and probably haven't even looked for any other way of programming).Īnd beyond that, perhaps because there are no known tools, BOINC doesn't supply any way of passing such a 'slow down' instruction to GPUs. The tag is not used in any way to control the behaviour of the application running on the GPU. Read config files to apply new settings or restart Boinc.Unfortunately, not true. Then your GPU should be running only 1 GPU task and it should try to use only half of the card. how long do the GPU tasks on Asteroids run on your cards? For app_config.xml could look something like this: It can be different than the name of the CPU app. You need to know the name of the GPU app. Here is basic info about structure of that file: ![]() You can adjust GPU and CPU usage per task by saving app_config.xml in the project directory. That could keep suspending GPU computing if you use your computer while Boinc is running. "Suspend GPU computing when computer is in use". You also need to see how this option is set: Boinc Manager Options. GPU computing for that project should become alive. Then click an Update for the project via Boinc Manager (or use command prompt. Make sure that your computer 'location' is same as the preferences set that you are saving the settings for. Not every project has GPU app available for all types of GPU (Nvidia / AMD / Intel). You might also need to check any GPU apps if a project preferences page has list of available apps. If you login there you can find settings to enable GPU computing for that project. Major OS version updates on the Windows 10 for example tend to screw up Nvidia GPU driver and it needs to be reinstalled.Įvery project site has a page for project preferences. If Activity menu in Boinc Manager don't have anything about "GPU" then the cards definitely have not been recognized properly. ![]() Start-up messages on the Boinc Event log show what Boinc finds out about the current GPUs. Otherwise Boinc won't recognize your GPUs and won't be able to use them. You're probably talking about GPU apps and tasks, which are actually not "boosting" any CPU tasks but rather a different thing on their own.įirst there has to be a proper GPU driver installed on your system. ![]()
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