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Number crunching :
Increase performance (watts)?
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ProDigit Send message Joined: 13 Nov 19 Posts: 9 Credit: 32,117,570 RAC: 0 ![]() ![]() |
I've noticed that running 1 WU on an RTX 2060 or above, the WU runs my GPU at ~80W. When I run 2 WUs, they run a little higher, and running 3 WUs, My GPU runs at around 105W. Running more than 3 WUs doesn't speed up crunching and slows down desktop usability drastically. Same results with 2070/2080/2080Ti. I was wondering if there was a way to make better use of my GPUs, seeing that even with 3WUs, they're only using 105W out of the available 150/225W. Is there a hard cap on power consumption built into these WUs? Why isn't simply doubling WUs, doubling the power output, like is with other projects? I mean, 80W for 1 WU, should return 160W for 2, and 240W for 3 WUs per GPU. But it doesn't. Would be great to get some help of knowledgeable minds here! |
![]() ![]() Send message Joined: 24 Jan 11 Posts: 676 Credit: 532,888,386 RAC: 226,568 ![]() ![]() ![]() |
Instead of looking at power consumption, what does card utilization show for 2X or 3X? That would be the limiting factor. Also are you overclocking the card's P2 power state under compute load to get back to what the P0 power state for card would be if not penalized by the drivers? keith@Serenity:~$ nvidia-smi Mon May 11 18:17:24 2020 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 440.64 Driver Version: 440.64 CUDA Version: 10.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce RTX 2080 On | 00000000:08:00.0 Off | N/A | |100% 55C P2 188W / 225W | 315MiB / 7982MiB | 90% Default | +-------------------------------+----------------------+----------------------+ | 1 GeForce RTX 2080 On | 00000000:0A:00.0 On | N/A | |100% 41C P2 158W / 225W | 1107MiB / 7979MiB | 97% Default | +-------------------------------+----------------------+----------------------+ | 2 GeForce RTX 2080 On | 00000000:0B:00.0 Off | N/A | |100% 38C P2 98W / 225W | 446MiB / 7982MiB | 100% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 1502 G /usr/lib/xorg/Xorg 6MiB | | 0 9408 C ./keepP2 111MiB | | 0 20858 C acemd3 185MiB | | 1 1502 G /usr/lib/xorg/Xorg 120MiB | | 1 2229 G /usr/bin/gnome-shell 102MiB | | 1 9409 C ./keepP2 111MiB | | 1 23651 C ...86_64-pc-linux-gnu__FGRPopenclTV-nvidia 769MiB | | 2 1502 G /usr/lib/xorg/Xorg 6MiB | | 2 9410 C ./keepP2 111MiB | | 2 23709 C ..._x86_64-pc-linux-gnu__opencl_nvidia_101 157MiB | | 2 23764 C ..._x86_64-pc-linux-gnu__opencl_nvidia_101 157MiB | +-----------------------------------------------------------------------------+ The gpu#2 is running 2X MW separation tasks. 100% utilization at 98W. ![]() |
ProDigit Send message Joined: 13 Nov 19 Posts: 9 Credit: 32,117,570 RAC: 0 ![]() ![]() |
Instead of looking at power consumption, what does card utilization show for 2X or 3X? That would be the limiting factor. Also are you overclocking the card's P2 power state under compute load to get back to what the P0 power state for card would be if not penalized by the drivers? No, the GPU utilization is at 92-100%. The wattage clearly shows it's only using a fraction of what it needs to do. Is milkyway using a lot of DPP calculations (64bit)? This might be a bottleneck on RTX2000 series GPUs. |
Nick Name Send message Joined: 27 Jul 14 Posts: 23 Credit: 912,363,709 RAC: 318,448 ![]() ![]() |
Yes, MilkyWay requires FP64 (double-precision) compute capability. Nvidia's consumer cards have always been terrible here. Team USA forum | Team USA page Always crunching / Always recruiting |
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