[pypy-dev] gpgpu and pypy
jonah at eecs.berkeley.edu
Fri Aug 20 23:05:15 CEST 2010
On 8/20/2010 1:51 PM, Maciej Fijalkowski wrote:
> 2010/8/20 Paolo Giarrusso<p.giarrusso at gmail.com>:
>> 2010/8/20 Jorge Timón<timon.elviejo at gmail.com>:
>>> Hi, I'm just curious about the feasibility of running python code in a gpu
>>> by extending pypy.
>> Disclaimer: I am not a PyPy developer, even if I've been following the
>> project with interest. Nor am I an expert of GPU - I provide links to
>> the literature I've read.
>> Yet, I believe that such an attempt is unlikely to be interesting.
>> Quoting Wikipedia's synthesis:
>> "Unlike CPUs however, GPUs have a parallel throughput architecture
>> that emphasizes executing many concurrent threads slowly, rather than
>> executing a single thread very fast."
>> And significant optimizations are needed anyway to get performance for
>> GPU code (and if you don't need the last bit of performance, why
>> bother with a GPU?), so I think that the need to use a C-like language
>> is the smallest problem.
>>> I don't have the time (and probably the knowledge neither) to develop that
>>> pypy extension, but I just want to know if it's possible.
>>> I'm interested in languages like openCL and nvidia's CUDA because I think
>>> the future of supercomputing is going to be GPGPU.
> Python is a very different language than CUDA or openCL, hence it's
> not completely to map python's semantics to something that will make
> sense for GPU.
Try googling: copperhead cuda
Also look at:
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