'[pypy-dev] =?utf-8?q?Integrate_Clyther_into_PyPy=3F?='

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List:       pypy-dev
Subject:    [pypy-dev] =?utf-8?q?Integrate_Clyther_into_PyPy=3F?=
From:       GW <gw.2013 () tnode ! com>
Date:       2013-03-08 19:08:31
Message-ID: 5f6036301f1a943a6b2ea059433579e5 () tnode ! com
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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/

[Attachment #5 (unknown)]

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN">
<html><body>
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 (<a \
href="http://srossross.github.com/Clyther/">http://srossross.github.com/Clyther/</a>). \
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 (<a href="http://copperhead.github.com/">http://copperhead.github.com/</a>) \
could also help (although it seems they are approaching the problem differently). \
Greetings, &nbsp; &nbsp;gw </body></html>

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