Louis Wicker wrote: > Travis: > > 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. -Travis _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
