GPU Coder used, but got error: Error generated while running CUDA-enabled program: [700,cudaE​rrorIllega​lAddress]

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Tong Zhao
Tong Zhao on 14 Jun 2021
Commented: First on 7 Dec 2021
I'm using GPU coder to accelerate N-D interpolation function interpn().
Everything worked fine when my problem scale was small, i.e. interpolating in 1-D or 2-D dimensions. But when I throw a larger problem, of 5-D interpolation to it, MATLAB threw the following error message:
Error generated while running CUDA-enabled program: [700,cudaErrorIllegalAddress] an
illegal memory access was encountered. To generate additional debugging information,
enable the 'SafeBuild' GPU code generation option.
I followed the error message suggestion above and added the 'SafeBuild' GPU code generation option, and got the following error instead:
Error generated while running CUDA-enabled
program: [46,cudaErrorDevicesUnavailable] all
CUDA-capable devices are busy or unavailable
I know that when I wasn't using GPU Coder, the code still worked but kind of slow. But now when GPU coder is enabled, it is not working. I have NVIDIA RTX 2080ti with 11G memory. When I was using CPU to do the calculation, the problem took 1 hour and peak RAM use was around 40GB out of 64GB RAM. Could this error be because I ran out of GPU memory by establishing my problem too large? How can I tell if this is the case?
OK update: I rebooted my Windows PC, and ran the same program again, the following error showed instead:
Error generated while running CUDA-enabled
program: [2,cudaErrorMemoryAllocation] out of
memory
I think this confirms that indeed my problem is causing GPU to run out of memory just to start the problem. Now I know the problem, is there any suggestions how to split the problem for interpn? Thanks!
  3 Comments
First
First on 7 Dec 2021
hi may i know the solution ? i met same error of cuda out of memory but its quite weird. Same code can run cpu1+gtx980 but error above when i run on cpu2+gtx980 and cpu2 has more much more cores and memory than cpu1.

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