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Peter il 4 Gen 2017
Spostato: Matt J il 30 Mar 2023
I'm running a matlab simulation code using an iterative matrix equation solver. This solver is called on the GPU every few time steps in a time stepping loop. This goes well for some dozens of time steps (although the computations gradually slow down...) until the screen goes black for a short instant of time and the simulation crashes with the following error message:
Error using gpuArray/subsasgn
An unexpected error occurred during CUDA execution. The CUDA error was:
After this, Matlab does not recognize the GPU device anymore: the command
results in:
Error using gpuDevice (line 26)
An unexpected error occurred trying to retrieve CUDA device properties. The CUDA error was:
Restarting matlab is not sufficient to restore the GPU. Restarting the PC is.
I'm running matlab 2016b on windows 10, using an Nvidia TITAN X (Pascal) GPU with the newest driver installed.
Do the above symptoms inspire anyone for a diagnosis of this problem?
  4 Commenti
Xubin Lin
Xubin Lin il 13 Giu 2020
Dear Joss,
I also have the same problem.
An error occurred during PTX compilation of <image>.
The information log was:
The error log was:
My output of gpuDevice is as follows(matlabR2019a and CUDA 10.2):
Name: 'GeForce GTX 1060'
Index: 1
ComputeCapability: '6.1'
SupportsDouble: 1
DriverVersion: 11
ToolkitVersion: 10
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 6.4425e+09
MultiprocessorCount: 10
ClockRateKHz: 1670500
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
Swati Jain
Swati Jain il 30 Mar 2023
Spostato: Matt J il 30 Mar 2023
I'm facing this error while working on Deep Network Designer.
Please help me in solving this error.

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Risposta accettata

Peter il 6 Gen 2017
Monitoring the GPU performance revealed that most probably the temperature is causing the issue: Slowing down of performance goes with rising of temperature and performance is capped by temperature.
Crash of the GPU occurred when GPU reached 95 degrees...
  2 Commenti
Vaclav Bocek
Vaclav Bocek il 19 Apr 2018
Spostato: Matt J il 30 Mar 2023
How did you solved it please?
Peter il 23 Apr 2018
Spostato: Matt J il 30 Mar 2023
I solved it by: 1) a smarter placement of the GPU in the pc casing, allowing for better air-flow 2) change the behavior of the cooling fan: generally it only reacts to CPU activity. can be set in BIOS I believe. just made it blow a little harder. This is all very machine specific so it will take some investigating on your part to try these options.

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Più risposte (1)

Matt J
Matt J il 4 Gen 2017
I've had symptoms like that before. Re-installing/updating the GPU driver fixed it for me, but it was never clear to me what the root cause was.
  1 Commento
Peter il 5 Gen 2017
thanks Matt, I did install the latest drivers (several times now) hoping for it to solve the issue but unfortunately without success.

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