[PyCUDA] single elements of gpuarray
lists at informa.tiker.net
Wed Apr 14 08:59:40 PDT 2010
On Mittwoch 14 April 2010, gerald wrong wrote:
> 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
> 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:
> in PyCUDA that I missed reading about in the Docs?
Nope--that would be awfully slow. (But it's not hard to code if you need
it, using a just a memcpy from the right address.) There is a somehwat
limited facility to do 1D slices, but I doubt that's what you want.
Unless you're doing the same thing to the whole array, you will likely
have to go to CUDA C.
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