thank you, So, I will start softly with opencl… I was hoping I could avoid the opencl/c++ step. that’s usually a big python advantage. I don’t have any clear difficulty yet, I was just planning to introduce some concepts and syntaxes and play with some codes (I have several Markov Chains - pymc3 codes for instance) and then debug a more elaborate pipeline. for example I’ve seen there are several ways for opening a context while I don’t even know why having context is required...
Stéphane > On 10 août 2017, at 11:00, Sven Warris <s...@warris.nl> wrote: > > Dear Stephane, > > Starting out with parallel computing can be indeed a big challenge. > > On 10-08-17 10:10, Stephane Paulin-Henriksson wrote: >>> Unfortunately, I find the on-line documentation concerning pyopencl >>> surprinsigly murky. I’m uncomfortable with it and need infos discussing >>> both basics as well as more complex concepts. > > Could you elaborate on the type of issues you have? Are you having > difficulties with OpenCl and developing algorithms for parallel processing? > Or is it the python-opencl interface? > > >>> What would be your advise to get started with pyopencl ? >>> > > I would suggest to start with a small example in OpenCL and then integrate it > in python using pyOpenCL. > > See for example: > https://github.com/pyopencl/pyopencl/blob/master/examples/narray.py > <https://github.com/pyopencl/pyopencl/blob/master/examples/narray.py> > > Good luck, > > Sven
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