[Numpy-discussion] feasability study to migrate from numarray to numpy

[Nils Wagner]

mg wrote:
> I forget a last question,
>
> We currently advise a High Performance Platform for our customers 
> (Opteron cluster) where our applications are linked with GOTO blas library.
>
> I found in the Numpy distribution the file site.cfg, used to specify the 
> BLAS to used at the link time. (It could be an interesting feature for 
> us.) I noted some configuration variables have names depending on the 
> name of the chosen BLAS library. So, my question is: is GOTO is 
> supported or is it easy for us to add it? I wonder too if the string 
> "[atlas]" written in site.cfg is used or not ?
>
> thanks,
> Mathieu.
>   
There is a ticket concerning your inquiry.

http://projects.scipy.org/scipy/numpy/ticket/73

Nils

> Travis Oliphant wrote:
>   
>> mg wrote:
>>   
>>     
>>> Hi all,
>>>
>>> I am doing a feseability study to migrate our Python based FEM 
>>> applications from Numarray to Numpy.
>>>
>>> First, I tried to install Numpy from Python-2.4 on linux-x86, 
>>> linux-86-64bit. So, all work fine. Great! Moreover, I change easily the 
>>> BLAS linked libraries. I tried with ATLAS and GOTO. Great again!
>>>
>>> Second, I try to do the same think on windows-x86 without success. So my 
>>> first question is: is Numpy-1.0b5 has been tested and is supported on 
>>> Windows?
>>>   
>>>     
>>>       
>> Yes, it should work.  Builds for windows were provided.   But, perhaps 
>> there are configuration issues for your system that we are not handling 
>> correctly.
>>
>>   
>>     
>>> Third, I tried to install Numpy from Python-2.5, which is our standard 
>>> Python, on linux-x86... and the compilation stopped during the 
>>> compilation of core/src/multiarraymodule.c. So my second question is: is 
>>> there a workaround or is the porting to Python2.5 is yet schedule?
>>>   
>>>     
>>>       
>> There was a problem with Python 2.5 and NumPy 1.0 that is fixed in SVN.  
>> Look for NumPy 1.0rc1 to come out soon.
>>   
>>     
>>> My third question is: is the tool to migrate the numarray based Python 
>>> scripts (numpy.numarray.alter_code1) work fine? (I suppose yes...)
>>>   
>>>     
>>>       
>> It needs more testing.  It would be great if you could help us find and 
>> fix bugs in it.   I don't have a lot of numarray code to test.
>>   
>>     
>>> We have created a lot of bindings in order to pilote our generic-C++ 
>>> framework with Python scripts. So, about the Numpy API, is it widely 
>>> different than the Numarray API? (We will order the Numpy Guide too.)
>>>   
>>>     
>>>       
>> It is more similar to the Numeric C-API.  However, the numarray C-API is 
>> completely supported by including numpy/libnumarray.h so you should be 
>> able to convert your C code very easily.   Any problems encountered 
>> should be noted and we'll get them fixed.
>>   
>>     
>>> To not duplicate large numerical memory arrays, Numarray allows to 
>>> aliasing the memory of some bindings with arrays from Numarray, and we 
>>> have used this feature intensively. So, I wonder if it is currently 
>>> supported (or even scheduled)?
>>>     
>>>       
>> I'm pretty sure the answer is yes (because the Numarray C-API is 
>> supported), though I'm not exactly sure what you mean.  Do you mean that 
>> you have memory created in the C/C++ framework and then you have an 
>> array use that memory for it's data area?  If that is what you mean, 
>> then the answer is definitely yes.
>>
>>
>> -Travis
>>
>>
>>
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>
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