It is an error in host_config.h in /usr/local/cuda/incude/host_config.h , you have to delete or command one line in it.
After delete it look like this:
#error – unsupported GNU version! gcc 4.5 and up are not supported!
Hmm… My host_config.h file appears to have already been modified to fit your description. I’ve uploaded what I have to pasteall. The relevant section is lines 80-86.
Reading through the logic, it appears that the variable GNUC = 4 and GUNC_MINOR = 5 (because my most current version of gcc is 4.5). Unfortunately, it doesn’t seem to recognize that I also have gcc 4.4 installed - to get around this exact problem.
OK, I think I’ve reached some conclusions. My setup:
GeForce (9400M+9200M) in Ubuntu 11.04-64.
Using the official Blender 2.61 release, with the standard included libraries
Installing the CUDA toolkit (most recent version), the most recent drivers from NVIDIA, and gcc 4.4
Commented out line 82 in /usr/local/cuda/incude/host_config.h
When switching to the Experimental GPU rendering mode, the CUDA kernel compiles successfully after some complaints (and 250 sec). However, during rendering the CPU usage remains high, and it is clear that utilizing the GPU mode offers no performance benefits. This is the behavior predicted by on the Blender wiki (thanks to mib2berlin for sharing this helpful link!).
I’m using Blender 2.61 on 32bit Windows 7. My graphics card is an 8800gt. I get the “CUDA device suppoted only with shader model 1.3 or up, found 1.1” error when it’s set to “supported”. I tried bat3a’s lib folder (I added the contents to C:\Program Files\Blender Foundation\Blender\2.61\scripts\addons\cycles\lib as I assumed the 2.60 folder mentioned earlier is only if you’re using 2.60) and set Feature to “Experimental”, Device to “GPU”, and GPU type to “CUDA”. Now I get the error “CUDA error: Out of memory in cuLaunchGrid(cuPathTrace, xblocks, yblocks)”. This happens even with an empty scene, so I don’t really believe it is a memory issue.
I searched 8800gt on these forums, and people have shown renders done on the 8800gt, so it’s obviously possible. Any ideas what might be the problem? Thanks
It’s alright. I figured out what the problem was. I had the latest display drivers, but I didn’t realise there are different ones for CUDA support. Once I installed the CUDA ones everything worked fine, and quite a bit faster than my cpu might I add.