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Re:Intel Announces Knights Mill: A Xeon Phi for Deep Learning by joe_the_user on Thursday August 18, 2016 @12:10PM (#12313685)
I'm an independent developer in the process of choosing a GPGPU library.

I can see simple, comprehensible 20-50 sample code for cuda that does most simple tasks. With OpenCL, I get references to version, boiler-plate, mode with nothing that boils down to simple code.

If you have a simple sample, you should post it here or blog about it.

Re:Intel Announces Knights Mill: A Xeon Phi for Deep Learning by marmaduke on Friday August 19, 2016 @08:05AM (#12319448)
Look at Pyopencl; it makes it quite easy to prototype OpenCL apps in tens of lines of code.

Later, it's straightforward to port to c or c++ if that's your thing, though I find having numpy et al handy even in production code

Re:Intel Announces Knights Mill: A Xeon Phi for Deep Learning by duaneb on Thursday August 18, 2016 @01:00PM (#12314233)
Boilerplate is one thing—this is what transpilers are for, among other solutions—but can OpenCL match CUDA on a performance level?
Re:Intel Announces Knights Mill: A Xeon Phi for Deep Learning by marmaduke on Friday August 19, 2016 @08:06AM (#12319456)
Cl is comparable to Cuda where the cuda code doesn't employ nvidia specific primitives.