Hi there - quick suggestion on Xmas morning - others are much more
familar.
You do not want to use a loop to do the matrix multiply, you want to
use the intrinsic functions assoicated with matrix.
So you want something like
res = Math.abs( matmul(arrayone, arraytwo) )
note - that is not r
Robert:
thanks - I appreciate the advice, and hopefully a) Leopard will get
here in a few months, and b) that will fix this.
cheers!
Lou Wicker
On Feb 1, 2007, at 3:11 PM, Robert Kern wrote:
Louis Wicker wrote:
Sebastian:
that code helps a lot. A standard gcc (no flags) of that code
Sebastian:
that code helps a lot. A standard gcc (no flags) of that code
breaks, but if you compile it with gcc -m64, you can address large
memory spaces.
So I will try and compile numpy with -m64
Lou
On Feb 1, 2007, at 2:01 PM, Sebastian Haase wrote:
#include
#include
int main()
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
Travis:
quick follow up: Mac Pro's currently have the dual-core 5100 Xeon
(two processors, two cores each), the 5300 Xeon's (quad-core) are
coming in a few weeks, we think.
Lou
On Feb 1, 2007, at 1:41 PM, Travis Oliphant wrote:
Louis Wicker wrote:
Dear list:
I cannot seem
-
Leopard is supposed to be pretty darn close.
Is there a numpy flag I could try for compilation
Lou
On Feb 1, 2007, at 1:41 PM, 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,
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
