Message boards : Graphics cards (GPUs) : BOINC 6.6.20 underestimating card GFLOPs
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Hi | |
ID: 8968 | Rating: 0 | rate: / Reply Quote | |
You mentioned F@H, have you seen the FLOP-FAQ ? | |
ID: 8973 | Rating: 0 | rate: / Reply Quote | |
I suppose the WUs are optimized for the most common GPUs - from the boards it looks like the GF200 series would be the target. Actually, the design of CUDA makes it sort of sort of irrelevant which card you design for. The drivers hide the differences pretty well, and the application code scales nicely from small cards to big cards. There are a few differences, but for the most part the difference between the most modest CUDA card and the monster CUDA cards is that the big cards have more shaders and can therefore execute more calculations in parallel, as well as being able to do each calculation faster. But other than having more shaders and being faster, all the CUDA cards pretty much have the same architecture. The exception to this is the difference in compute capabilities, but that's not so much an optimization thing as a 'this card can't run this application' thing. Mike | |
ID: 8974 | Rating: 0 | rate: / Reply Quote | |
Hi, | |
ID: 8977 | Rating: 0 | rate: / Reply Quote | |
However, does BOINC's drastic underestimation of my gfx card FLOPS affect anything? Not that I know. And you're not the only one: I can remember my 9800GTX+ scored something around 80, whereas theoretically it would be ~750 GFlops. MrS ____________ Scanning for our furry friends since Jan 2002 | |
ID: 9025 | Rating: 0 | rate: / Reply Quote | |
cheers | |
ID: 9030 | Rating: 0 | rate: / Reply Quote | |
Some results from the tool CUDA-Z (0.5.95):
BOINC: CUDA device: GeForce 9800 GX2 (driver version 18565, CUDA version 1.1, 512MB, est. 69GFLOPS) Multiprocessors: 16 GPU Core Performance
BOINC: CUDA device: GeForce GTX 260 (driver version 18122, CUDA version 1.3, 896MB, est. 104GFLOPS) Multiprocessors: 24 GPU Core Performance
BOINC: CUDA device: GeForce GTX 260 (driver version 18206, CUDA version 1.3, 896MB, est. 117GFLOPS) Multiprocessors: 27 GPU Core Performance
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ID: 9065 | Rating: 0 | rate: / Reply Quote | |
Thanks for that - I noticed you have CUDA 1.3, so i'll update my drivers to see whether that'll help my 8800GT. CUDA-Z reported that it was going at 377Gflops, (20% overclock) I suspect F@H uses the GPU more efficiently with higher Gflops as it makes more heat, but i'm not going to start a new WU to find out! That's what i use the oc for - to speed along GPUGrid - would be too hot for F@H. | |
ID: 9114 | Rating: 0 | rate: / Reply Quote | |
The "1.3" refers to the CUDA hardware capability level of G200 chips. G80 has 1.0 and G9x have 1.1. This is different from the software CUDA version, which is currently 2.1 or 2.2. | |
ID: 9121 | Rating: 0 | rate: / Reply Quote | |
Yes, I should have assigned it better: line with "BOINC: ..." is taken from BOINC Manager, not part of CUDA-Z, when it recognizes the abilities to initiate the card for the projects. Sorry for mixing up two different outputs, I thought it was clear. | |
ID: 9123 | Rating: 0 | rate: / Reply Quote | |
Boinc uses its own Bench Marks, so don’t expect estimates of Boinc’s GPU rating to match Nvidia's or any one else’s. The same is true for Boinc's CPU ratings - they are not the same as Si-Soft Sandra, CPUBench, or Vista's strange points system. Why? Because Boinc measures the devices' capabilities of doing Boinc tasks - which is exactly what you want to know! | |
ID: 10579 | Rating: 0 | rate: / Reply Quote | |
Because Boinc measures the devices' capabilities of doing Boinc tasks - which is exactly what you want to know! Well.. no. It's actually an almost meaningless low-level measurement, similar in nature to Sandra or Everest, just with a different specific implementation. Similarly the GFlops rating for GPUs is not any more useful than the theoretical maximum GFlops. MrS ____________ Scanning for our furry friends since Jan 2002 | |
ID: 10586 | Rating: 0 | rate: / Reply Quote | |
Message boards : Graphics cards (GPUs) : BOINC 6.6.20 underestimating card GFLOPs