Errors when using gpuArray: "CUSPARSE_​INTERNAL_E​RROR" ,followed by "CUDA-capable devices are busy or unavailable"

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I am creating a 400x400 sparse complex double matrix, and then trying to convert it to a gpuArray. However, the conversion results in the following error upon the first attempt after a restart of Matlab:
Error using gpuArray
An unexpected error occurred on the device. The error code was: CUSPARSE_INTERNAL_ERROR.
Once this error was thrown, if I try again to convert the matrix a second time (without a restart of Matlab), then error is now:
Error using gpuDevice (line 26)
An unexpected error occurred during CUDA execution. The CUDA error was:
all CUDA-capable devices are busy or unavailable
If I restart Matlab, the first error returns, and the cycle repeats. Does anyone know how this can be fixed?
The graphics card is the Nvidia Quadro P4000, with the latest driver ( from here), and I am running Matlab R2017a on Windows 10 64-bit. The ouput from running gpuDevice directly after a Matlab restart is as follows:
CUDADevice with properties:
Name: 'Quadro P4000'
Index: 1
ComputeCapability: '6.1'
SupportsDouble: 1
DriverVersion: 11.2000
ToolkitVersion: 8
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 8.5899e+09
AvailableMemory: 7.5037e+09
MultiprocessorCount: 14
ClockRateKHz: 1480000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
I have also tried increasing the TdrDelay registry key to 8 seconds in the Windows registry, as described here, and the problem persists.
Thomas Barrett
Thomas Barrett on 25 Jan 2021
I did as you suggested and upgraded to R2020b. The problem has disappeared, and everything works correctly.
Thanks for the support.

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Accepted Answer

Thomas Barrett
Thomas Barrett on 25 Jan 2021
This was fixed when upgrading to a more recent version of Matlab (R2020b).

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