hello folks
I have a modest question, I use the 2080 Super Nividia and here only the 3D Mark is used, is there a possibility to get more out of it? Because according to windows the copy area as well as the video encode and video decode are not used.
Furthermore, I have 126 gb of RAM available, which I would also like to use. Do you have any plans in this direction ? because next year I wanted to organize the 5090 to support you even more efficiently...
Best regards
Lasky
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I Have a questions
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Lasky
- Posts: 19
- Joined: Fri Mar 06, 2020 10:43 am
- Hardware configuration: AMD Threadripper 24 Cores 4100 GHZ
NVIDIA GeForce RTX 2080 Super NVIDIA TU104 3.072 Shader Einheiten 8 GB GDDR6 256 Bit aktive Watercooling DirectX 12.1 OpenGL 4.5 DLSS Upscaling G-Sync PCIe 3.0 x16 4K VR 7680 x 4320
128 GB DDR4 3200 MHZ
Re: I Have a questions
F@h uses what it can as for GPU capabilities, and what it needs with regards to RAM.
To give a couple examples:
- A modern GPU offers logic / tools for gaming (like raytracing) that can't be used by for the calculations F@h is doing. On Nvidia F@h only can use the CUDA cores.
- A GPU may offer more CUDA cores than can be used for a particular job / project, which will cause the GPU to technically be underutilized. The F@h project tries to get the largest jobs on the most capable GPUs, but it's difficult to keep high end GPUs fully utilized all the time. My 4090 isn't either. Specifying a cause preference sometimes helps, but it takes a bit of time to figure out which cause has the projects most suited for a high-end GPU. (Note: if you specify a cause preference, but there are no active projects for that cause, you'll get a job for another project)
- Usually 16 GB is all (or more than) F@h really needs. If you do CPU folding as well, that will differ, but then you'll also have to check if CPU fulding doesn't negatively impact GPU folding (that depends on OS and number of cores used for CPU folding)
To give a couple examples:
- A modern GPU offers logic / tools for gaming (like raytracing) that can't be used by for the calculations F@h is doing. On Nvidia F@h only can use the CUDA cores.
- A GPU may offer more CUDA cores than can be used for a particular job / project, which will cause the GPU to technically be underutilized. The F@h project tries to get the largest jobs on the most capable GPUs, but it's difficult to keep high end GPUs fully utilized all the time. My 4090 isn't either. Specifying a cause preference sometimes helps, but it takes a bit of time to figure out which cause has the projects most suited for a high-end GPU. (Note: if you specify a cause preference, but there are no active projects for that cause, you'll get a job for another project)
- Usually 16 GB is all (or more than) F@h really needs. If you do CPU folding as well, that will differ, but then you'll also have to check if CPU fulding doesn't negatively impact GPU folding (that depends on OS and number of cores used for CPU folding)
Ryzen 9800X3D / RTX 4090 / Windows 11
Ryzen 5600X / RTX 3070 Ti / Ubuntu 22.04
Ryzen 5600 / RTX 3060 Ti / Windows 11