Question

I have a Dell Precision Rack running Ubuntu Precise and featuring two Tesla C2075 plus a Quadro 600 which is the display device. I have recently finished some tests on my desktop-computer and now tried to port stuff to the workstation.

Since CUDA was not present I installed it according to this guide and adapted the SDK Makefiles according to this suggestions.

What I am now facing is that not a single sample (I did test like 10 different ones) is running. Those are the errors I am getting:


[deviceQuery] starting...

./deviceQuery Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

cudaGetDeviceCount returned 10
-> invalid device ordinal
[deviceQuery] test results...
FAILED

> exiting in 3 seconds: 3...2...1...done!

[MonteCarloMultiGPU] starting...

CUDA error at MonteCarloMultiGPU.cpp:235 code=23510 (cudaErrorInvalidDevice) "cudaGetDeviceCount(&GPU_N)"MonteCarloMultiGPU
==================
Parallelization method  = threaded
Problem scaling         = weak
Number of GPUs          = 0
Total number of options = 0
Number of paths         = 262144
main(): generating input data...
main(): starting 0 host threads...
Floating point exception (core dumped)

[reduction] starting...

reduction.cpp(124) : cudaSafeCallNoSync() Runtime API error 10 : invalid device ordinal.

[simplePrintf] starting...

simplePrintf.cu(193) : CUDA Runtime API error 10: invalid device ordinal.

As you can see most of the errors are pointing towards a problem with the cudaGetDeviceCount call which return error code 10. According to the manual the problem is:

cudaErrorInvalidDevice: This indicates that the device ordinal supplied by the user does not correspond to a valid CUDA device.

Unfortunately, the only solution I was able to find suggested to check the devices power plugs. I did that and there was nothing wrong with it. Restarting the workstation does not help either.

I'd be happy to supply more details on my configuration. Just leave a comment!

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Solution

Due to the comments to my original question I was able to find a solution. I followed this guide to learn how to set up the rc.local correctly (don't forget to chmod your script).

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