Thanks Robert
thats kinda what I thought. Since Leopard is not far off, then by
summer things will be fine, I hope...
L
On Feb 1, 2007, at 1:48 PM, Robert Kern wrote:
Travis Oliphant wrote:
Louis Wicker wrote:
Dear list:
I cannot seem to figure how to create arrays > 2 GB on a Mac Pro
(using Intel chip and Tiger, 4.8). I have hand compiled both Python
2.5 and numpy 1.0.1, and cannot make arrays bigger than 2 GB. I
also
run out of space if I try and 3-6 several arrays of 1000 mb or so
(the
mem-alloc failure does not seem consistent, depends on whether I am
creating them with a "numpy.ones()" call, or creating them on the
fly
by doing math with the other arrays "e.g., c = 4.3*a + 3.1*b").
Is this a numpy issue, or a Python 2.5 issue for the Mac? I have
tried this on the SGI Altix, and this works fine.
It must be a malloc issue. NumPy uses the system malloc to construct
arrays. It just reports errors back to you if it can't.
I don't think the Mac Pro uses a 64-bit chip, does it?
Intel Core 2 Duo's are 64-bit, but the OS and runtime libraries are
not. None of
the Python distributions for OS X are compiled for 64-bit support,
either.
When Leopard comes out, there will be better 64-bit support in the
OS, and
Python will follow. Until then, Python on OS X is 32-bit.
--
Robert Kern
"I have come to believe that the whole world is an enigma, a
harmless enigma
that is made terrible by our own mad attempt to interpret it as
though it had
an underlying truth."
-- Umberto Eco
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| Optimization is always just a few correctness-preserving
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