Hi Richard,
This message appears either when no device is found or when the default device is locked out of use. In order to diagnose the problem, can you try the following and post the results:
>> gpuDeviceCount()
>> gpu = parallel.gpu.GPUDevice.getDevice(1)
Note that this latter call asks for information about the device without trying to select it, which should help in working out whether finding the device or selecting the device is the problem. Hopefully you will see the details for your card with "DeviceSupported" set to 1 and "ComputeMode" set to "Default".
Cheers
Ben
"Richard Biehl" wrote in message <jjbpqm$899$
1...@newscl01ah.mathworks.com>...
> I am having a problem getting the Matlab Parallel Computing toolbox to work with my Tesla M2070. When I submit the gpuDevice I get the following error:
>
> Error using gpuDevice (line 22)
> An unexpected error occurred during CUDA execution. The CUDA error was: all
> CUDA-capable devices are busy or unavailable.
[snip]