[Numpy-discussion] large memory address space on Mac OS X (intel)
Thu Feb 1 13:55:55 CST 2007
Louis Wicker wrote:
> yes it does. Its the Woodcrest server chip
> <http://www.intel.com/business/xeon/?cid=cim:ggl%7Cxeon_us_woodcrest%7Ck6913%7Cs> which
> supports 32 and 64 bit operations. For example the new Intel Fortran
> compiler can grab more than 2 GB of memory (its a beta10 version). I
> think gcc 4.x can as well.
Nice. I didn't know this.
> However, Tiger (OS X 10.4.x) is not completely 64 bit compliant -
> Leopard is supposed to be pretty darn close.
> Is there a numpy flag I could try for compilation....
It's entirely compiler and system dependent. NumPy just uses the system
malloc. If you can compile it so that the system malloc supports 64-bit
then O.K. (but you will probably run into trouble unless Python is also
compiled as a 64-bit application). From Robert's answer, I guess it is
impossible under Tiger to compile with 64-bit support.
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