CUDA_ERROR_UNKNOWN When Using a CUDAKernel

My system:

32bit Matlab (student) on win7 64bit machine.

GeForce GT555m, 2gb

Problem:

I'm trying to use a rotation kernel to rotate 3d pts, but once I use feval with that kernel, any further calls to the gpu (gpuArray, gather, etc.) get the following response, CUDA_ERROR_UNKNOWN.

When I load the kernel I get this response,

Warning: Expected pointer type for kernel argument
1 but found '.u64' in the PTX. 
> In C:\Program Files (x86)\MATLAB\R2013a Student\toolbox\distcomp\gpu\+parallel\+internal\+gpu\handleKernelArgs.p>iCheckPTXEntryAgainstCProto at 424
  In C:\Program Files (x86)\MATLAB\R2013a Student\toolbox\distcomp\gpu\+parallel\+internal\+gpu\handleKernelArgs.p>handleKernelArgs at 81 
Warning: Expected pointer type for kernel argument
2 but found '.u64' in the PTX. 
> In C:\Program Files (x86)\MATLAB\R2013a Student\toolbox\distcomp\gpu\+parallel\+internal\+gpu\handleKernelArgs.p>iCheckPTXEntryAgainstCProto at 424
  In C:\Program Files (x86)\MATLAB\R2013a Student\toolbox\distcomp\gpu\+parallel\+internal\+gpu\handleKernelArgs.p>handleKernelArgs at 81

Since gpuArray and gather both work before calling feval with that kernel, I'm wondering if there is something wrong with the kernel or if the problem is else where. I have not tried loading a different kernel and running it. Any thoughts?

[Jeremy Goodsitt]

Well, I tried running a different kernel which produces the same warning, but works fine. I'm thinking it has something to do with memory allocation. Or going outside the bounds of the matrix.

Answer 1

[Edric Ellis]

That warning means you are using 64-bit pointer types on the GPU, whereas the 32-bit host application is using 32-bit pointer types. You need to recompile your PTX code in 32-bit mode. It should work to add "-m 32" to your NVCC command line.

[Jeremy Goodsitt]

Thank you for your response, that indeed was the reason for my error. I assume this is because the student version is 32-bit, yes?