[PyCUDA] single elements of gpuarray

[gerald wrong]

I am trying to write a gpu kernel to expand an array to a much larger sparse
array using PyCUDA (which I will then perform some linear algebra on).
Currently I have a simple cpu based implementation working nicely, and I was
hoping that PyCUDA would have the tools to allow me to perform such
operation in parallel without manually going down to C kernel using
memoryIDs.

I need to read a row in from from A_gpu, and then make some modifications to
specific elements of M_gpu.  Such an uncoupled task screams for GPGPU.

I am stuck because I cannot seem to figure out how to retrieve a single
element from a gpuarray without writing a C kernel using memory addresses.

Is there anything to do:

M_gpu[i,j]

in PyCUDA that I missed reading about in the Docs?

Thanks,
~Garrett
ps. I love PyCUDA!!!
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.tiker.net/pipermail/pycuda/attachments/20100414/3f222285/attachment-0001.htm>