Hello,
I am wondering why is there a proposal to provide only a compatible working NumPy CPU implementation for PyPy? Aren't NumPy operations more suited for GPGPU (eg. OpenCL or CUDA) and supporting them would result in a greater performance boost than just CPU? A great project thet seems to have implemented all aspects of parallization, also uses JIT ideas, and has a NumPy-compatible interface (with exchangable backend/context implementation) is Clyther (http://srossross.github.com/Clyther/ [1]). In my opinion it would be great to join the efforts, combine the knowledge and code, and create something really powerful. Maybe the developers, knowledge, or code from Copperhead (http://copperhead.github.com/ [2]) could also help (although it seems they are approaching the problem differently). Greetings, gw Links: ------ [1] http://srossross.github.com/Clyther/ [2] http://copperhead.github.com/
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