Greg Novak wrote: > 1) Numerical Recipes has an out-of-memory FFT algorithm, but looking > through the numpy and scipy docs and modules, I didn't find a function > that does the same thing. Did I miss it?
I don't think so. > Should I get to work typing > it in? > Maybe :) > 2) I had high hopes for just memory-mapping the large array and > passing it to the standard fft function. However, the memory-mapped > region must fit into the address space, and I don't seem to be able to > use more than 2 GB at a time. So memory mapping doesn't seem to help > me at all. > > This last issue leads to another series of things that puzzle me. I > have an iMac running OS X 10.5 with an Intel Core 2 duo processor and > 4 GB of memory. As far as I've learned, the processor is 64 bit, the > operating system is 64 bit, so I should be able to happily memory-map > my entire disk if I want. However, Python seems to run out of steam > when it's used 2 GB. This is true of both 2.5 and 2.6. What gives? > Is this a Python issue? > Yes - official python binaries are 32 bits only. I don't know how advanced/usable is the 64 bits build, but I am afraid you will have to use an unofficial build or to build it by yourself. I don't know if the following can help you: http://developer.apple.com/documentation/Darwin/Conceptual/64bitPorting/intro/intro.html#//apple_ref/doc/uid/TP40001064-CH205-TPXREF101 cheers, David _______________________________________________ Numpy-discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
