![]() If boinc can use both, can I make separate options for the older v. The OS recognizes and uses both why won't boinc? However projects like Einstein allow you to fine tune the WUs (to run heavier units per GPU). For instance the project MooWrapper (or Milkyway, one of the two, forgot which) uses less than 80 of my GPUs resources, regardless of how many WUs I run per GPU. Memory: 15.93 GB physical, 18.31 GB virtual Running multiple WUs under 1 GPU doesnt always go without problems. OS: Microsoft Windows 10: Professional 圆4 Edition, (3.00) Processor features: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 htt pni ssse3 fma cx16 sse4_1 sse4_2 movebe popcnt aes f16c rdrandsyscall nx lm avx avx2 svm sse4a osvw skinit wdt tce topx page1gb rdtscp fsgsbase bmi1 smep Processor: 12 AuthenticAMD AMD RySix-Core Processor old: find fastest GPU, and pretend that others are the same. client: new approach to handling multiple GPUs. ![]() Main thing, installed latest drivers for both. ![]() Other people have got AMD and NVidia running in same system. My attempt to get it running failed most likely due to older models. OpenCL: NVIDIA GPU 1 (ignored by config): GeForce GT 640 (driver version 432.00, device version OpenCL 1.2 CUDA, 1024MB, 822MB available, 803 GFLOPS peak) Add not-in-use computing prefs: CPUs, CPU time, suspend if non-BOINC usage exceeds X Update cpu/gpu resources when appconfig is re-read Fix Account creation for user names with accented characters. Followers 1 Go to solution Solved by Whaler99, SeptemSo, mileage will vary. OpenCL: NVIDIA GPU 0: GeForce GTX 1660 Ti (driver version 432.00, device version OpenCL 1.2 CUDA, 6144MB, 3558MB available, 5437 GFLOPS peak) If your devices are running hot, and you can't add cooling, you can reduce heat by limiting the amount of CPU BOINC is permitted to use.CUDA: NVIDIA GPU 0: GeForce GTX 1660 Ti (driver version 432.00, CUDA version 10.1, compute capability 7.5, 4096MB, 3558MB available, 5437 GFLOPS peak)ĬUDA: NVIDIA GPU 1 (not used): GeForce GT 640 (driver version 432.00, CUDA version 10.1, compute capability 3.5, 1024MB, 822MB available, 803 GFLOPS peak) high draw applications (multiple 4p or multi GPU machines) For farm DC projects. So far as I can tell, the GPUGrid project is included. Boinc projects that use gpu serial Boinc projects that use gpu Pc. You run the risk of seriously damaging the components, or even starting a fire. Generally speaking, and provided your video cards can handle it, the more GPU tasks you can run, the better. I choose Debian I am familiar with it, and more importantly, I got it to work with BOINC. The BIOS shows our 3 GPUs installed in the proper slots and we like the speeds (Gen 3) of PCIe that are chosen. 58 ks now remain in the Riesel Base 5 Problem. The prime is 2,717,497 digits long and enters Chris Caldwells The Largest Known Primes Database ranked 99 th overall. ![]() I have a few rigs that are multiple GPU setups and sometimes the CPU projects take up all the CPU slots and the GPU are left idling. OK, we have our multiple GPU system wired up and it seems to boot OK into the BIOS. On 19 June 2022, 04:26:15 UTC, PrimeGrids Sierpinski/Riesel Base 5 Prime Search found the Mega Prime. Cuda42 / Cuda50) because its the same Type of Processor (same Instructions, Same nm Type. ✻ Smokey says: avoid excessive personal grooming to fight climate change! Be smart with your electronics, never operate them with inadequate ventilation. 1 Deleted member 88227 Guest I am running a CPU only project that I want to run only on CPUs (obviously) but I am also running a CPU/GPU project that I only want to run the GPU WU's. Actually Ive git two GPUs with the same Processor-Type, but with differenz CUDA-Cores, in my Sys and want to configure the App to use the Dev0 twice and the Dev1 in single Tasking. ![]() Users can decide which projects they participate in, using the free and open-source BOINC client software. A subreddit dedicated to all things BOINC, a platform enabling the public to volunteer their computer's processing capability towards research projects distributed across the globe. 1Check whether your computer has a capable GPU 2Get the latest BOINC software 3Get the latest driver 4Attach to projects with GPU applications 4. BOINC is software that can exploit the unused CPU and GPU cycles on computer hardware to perform scientific computing. ![]()
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