matlab on amazon g2 linux instance

I have a problem similar to: http://www.mathworks.com/matlabcentral/answers/137378-is-it-possible-to-run-matlab-with-parallel-computing-toolbox-on-amazon-gpu

I cannot get Matlab 2014a to see the K520 GPU on a g2.2xlarge linux instance. I am connected via ssh. I would appreciate any pointers to make matlab see the gpu on the machine...

>> !nvidia-smi
Sun Dec 14 22:12:15 2014
+------------------------------------------------------+
| NVIDIA-SMI 340.32     Driver Version: 340.32         |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GRID K520           On   | 0000:00:03.0     Off |                  N/A |
| N/A   44C    P8    17W / 125W |     10MiB /  4095MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Compute processes:                                               GPU Memory |
|  GPU       PID  Process name                                     Usage      |
|=============================================================================|
|  No running compute processes found                                         |
+-----------------------------------------------------------------------------+

>> gpuDevice
gpuDevice
Error using gpuDevice (line 26)
An unexpected error occurred during CUDA execution. The CUDA error was:
CUDA_ERROR_UNKNOWN

^G>> gpuDeviceCount
gpuDeviceCount

ans =

       0

[Gareth Stevenson]

Hi Deniz

I started a g2.2xlarge Linux instance and got R2014a to use the GPU, output is below. A possible difference is that I used a desktop version of Ubuntu 12.04 LTS.

>> !nvidia-smi Mon Jan 5 17:41:27 2015 +------------------------------------------------------+ | NVIDIA-SMI 340.32 Driver Version: 340.32 | -------------------------------+----------------------+----------------------+ | GPU Name Persistence-M Bus-Id Disp.A | Volatile Uncorr. ECC Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. ===============================+======================+======================| | 0 GRID K520 Off | 0000:00:03.0 Off | N/A | | N/A 34C P0 0W / 125W | 10MiB / 4095MiB | 0% Default | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Compute processes: GPU Memory GPU PID Process name Usage | ============================================================================= | No running compute processes found | +-----------------------------------------------------------------------------+ >> >> >> gpuDevice

ans =

CUDADevice with properties:

                      Name: 'GRID K520'
                     Index: 1
         ComputeCapability: '3.0'
            SupportsDouble: 1
             DriverVersion: 6.5000
            ToolkitVersion: 5.5000
        MaxThreadsPerBlock: 1024
          MaxShmemPerBlock: 49152
        MaxThreadBlockSize: [1024 1024 64]
               MaxGridSize: [2.1475e+09 65535 65535]
                 SIMDWidth: 32
               TotalMemory: 4.2948e+09
                FreeMemory: 4.2118e+09
       MultiprocessorCount: 8
              ClockRateKHz: 797000
               ComputeMode: 'Default'
      GPUOverlapsTransfers: 1
    KernelExecutionTimeout: 0
          CanMapHostMemory: 1
           DeviceSupported: 1
            DeviceSelected: 1