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. 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 > > > > ------------------------------------------------------------------------- > Take Surveys. Earn Cash. Influence the Future of IT > Join SourceForge.net's Techsay panel and you'll get the chance to share your > opinions on IT & business topics through brief surveys -- and earn cash > http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/numpy-discussion > > ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
