PyCUDA March 2018

pycuda@tiker.net

4 participants
4 discussions

Re: [PyCUDA] Covariance calculation with pycuda

by Lev E Givon

On Tue, Mar 13, 2018 at 9:48 AM, <torwartwechsel(a)yahoo.de> wrote: > Hello, > > > I do not have experience in GPU(CUDA) computation. > > I googled a lot, but I did not find how to calculate the covariance on the > GPU using pycuda or skcuda. > > All I found is the following code snippet > > https://github.com/OrangeOwlSolutions/cuBLAS/blob/master/Covariance.cu > > Is there a simpler way? > > > Kind regards, > Till The arrayfire library provides GPU support and a covariance function that is accessible via Python bindings. I did encounter issues when trying to use the bindings recently, however, so YMMV. https://github.com/arrayfire/arrayfire https://github.com/arrayfire/arrayfire-python -- L

2 years, 10 months

Covariance calculation with pycuda

by torwartwechsel＠yahoo.de

Hello, I do not have experience in GPU(CUDA) computation. I googled a lot, but I did not find how to calculate the covariance on the GPU using pycuda or skcuda. All I found is the following code snippet https://github.com/OrangeOwlSolutions/cuBLAS/blob/master/Covariance.cu Is there a simpler way? Kind regards, Till

2 years, 10 months

Re: [PyCUDA] Multithreading with a single context per process

by Andreas Kloeckner

Emanuel Rietveld <e.j.rietveld(a)gmail.com> writes: > If I understand correctly, the current PyCUDA multithreading examples > assume you create a separate context for each thread. > > If I want to use CUDA 4.0+'s one-context-per-process model instead, > how would I do that in PyCUDA? > > I think you'd call cudaSetDevice instead of cuCtxCreate? Does the > equivalent exist in PyCUDA? If it does not, can I add it? Yes, in fact that would be very welcome. PyCUDA has some complicated and brittle logic in place to manage CUDA's context stacks that I've been meaning to rip out. Here's an example: https://github.com/inducer/pycuda/blob/master/src/cpp/cuda.hpp#L525 Patches that get rid of all that code and simplify it would be very welcome. Andreas

2 years, 10 months

Multithreading with a single context per process

by Emanuel Rietveld

If I understand correctly, the current PyCUDA multithreading examples assume you create a separate context for each thread. If I want to use CUDA 4.0+'s one-context-per-process model instead, how would I do that in PyCUDA? I think you'd call cudaSetDevice instead of cuCtxCreate? Does the equivalent exist in PyCUDA? If it does not, can I add it? I need to share memory between threads. Cheers, Emanuel

2 years, 10 months

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PyCUDA March 2018