Davide Bassano <bassano.dav...@gmail.com> writes: > Dear Mr/Mrs > > > > I have just started working with PyCuda and I have a simple question: how > can I parallel a Python code if PyCuda wants a kernel written in C? > > > > Let me clarify: I have a Python code (with classes and other things all > suitable with Python and unsuitable with C). I have 256 independent for > loops that I want to parallelize. These loops contain Python code that > can’t be translated to C. So I tried using PyCuda package but it turned out > that the kernel must be written in C. > > How can I parallelize an actual Python code with PyCuda package without > translating my code to C?
You could try using the gpuarray functionality built into PyCUDA. Some numpy-based codes can be effectively made GPU-aware through it. Andreas
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