21, 2012 at 2:57 PM, Rahul Garg rahulgar...@gmail.com wrote:
Thanks! I need to add support for eig and inv (will do this week, at
least for CPU) but other than that, I should definitely be able to
handle those kinds of benchmarks.
rahul
On Sun, Oct 21, 2012 at 12:01 PM, Aron Ahmadia
should come close to or beat that.
Hope this helps.
Aron
On Sun, Oct 21, 2012 at 3:27 PM, Rahul Garg rahulgar...@gmail.com wrote:
Hi.
I am a PhD student at McGill University and I am developing a compiler
for Python for CPUs and GPUs. For CPUs, I build upon LLVM. For GPUs, I
generate
The discussion has moved to :
http://wiki.cython.org/enhancements/parallel
Quoting Rahul Garg [EMAIL PROTECTED]:
Thanks for pointing them out. I will look into both of them. I like
the with statement. From an implementation perspective, the with
statement looks simpler since the Python parser
I am very worried about the negative numbers issue. It's the sort of
thing that will readily lead to errors, and that produces a
significant difference between cython and python. I understand the
performance issues that motivate it, but cython really needs to be
easy to use or we might as
Hi.
I have been working on a Python to C compiler called unPython (updates
coming tomorow). One of the features I want to work on is parallel
loop annotations similar to OpenMP for C. Given the multicore
revolution, and given the lack of real concurrency in CPython, such a
feature will
will look into ipython's notation.
More comments welcome :)
thanks,
rahul
Quoting Stéfan van der Walt [EMAIL PROTECTED]:
2008/6/18 Rahul Garg [EMAIL PROTECTED]:
I want to add a similar annotation to Python
example usage :
pragma parallel for
for i in xrange(m): a[i] = b[i]*c[i
Hi.
Does the C api have some convenience functions for creating slices?
For example : if I have a PyArrayObject *A, which represents lets say
a 2d ndarray A in Python, is there a C api function to easily do the
equivalent of A[a:b:c,d:e:f] ?
thanks,
rahul
Quoting [EMAIL PROTECTED]:
What will be the licensing of this project? Do you know yet?
I am thinking GPL for the compiler and LGPL for any runtime components
which should be similar to GCC. Which version : Version 2 or version 3
of the license is undecided. Will also check with uni to see
Thanks everyone for suggestions and enthusiasm.
1. For type declarations moving from string based annotations to
decorators for functions.
(Function annotations in 3k: Well it should be easy to add them once
that feature comes out.)
2. License : Keeping it as GPLv3 for compiler. The runtime
Note this message has been posted to numpy-discussion and python-dev.
Sorry for the multiple posting but I thought both python devs and
numpy users will be interested. If you believe your list should not
receive this email, let me know. Also I just wanted to introduce
myself since I may ask
hi.
thanks for ur responses .. so it looks like python/numpy is used more
for gluing things together or doing things like postprocessing. is
anyone using it for core calculations .. as in long running python
calculations?
i used numpy myself for some nonlinear dynamics and chaos related
Hi.
I have been a numpy user myself for some time now (though its my first
message on this list).
I am trying to do a informal survey for a univ related project .. I am
a grad student btw working in comp sci.
It would be awesome if you guys could respond to some of the following
questions :
a)
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