Tune Kamae (sent by Nabble.com) wrote: > I am thinking to upgrade my desktop to 64bit cpu with 16GB memory to handle > large astronomical images and data. I wonder if > 1) the latest numarry (besides 2d slicing) has been tested with one or more > 64 bit CPU and Linux distributions
Certainly. > 2) with 64 bit address space, will numarray be able to handle larger arrays > and matrices (many 3d-arrays 100x100x100 and matrices 50k x 50k)? > (with 32 bit CPU I was limited by the memory.) > > I would appreciate knowing about your experience. You'll probably want to ask on the appropriate mailing list[1], but since you ask here, I will say that there are limitations that prevent numarray from fully utilizing 64-bit systems. numarray uses the Python buffer interface which is addressed by 32-bit integers even on 64-bit platforms[2]. There has been some work on numarray's replacement, scipy_core, to address this deficiency, but more work needs to be done and more volunteers with 64-bit systems are needed. 100x100x100 arrays should work with numarray; 50000x50000 perhaps not. You could always try and let us know. [1] http://lists.sourceforge.net/lists/listinfo/numpy-discussion [2] http://permalink.gmane.org/gmane.comp.python.numeric.general/2690 -- Robert Kern [EMAIL PROTECTED] "In the fields of hell where the grass grows high Are the graves of dreams allowed to die." -- Richard Harter -- http://mail.python.org/mailman/listinfo/python-list
