Just a quick followup about this issue:
After a bit of investigation, I discovered that the responsible for the
difference in performance between the original numexpr and their PyTables
counterpart (see the message below) was due *only* to the different flags
used for compiling (and not to a ca
Hi,
Now that I'm commanding my old AMD Duron machine, I've made some
benchmarks just to prove that the numexpr computing is not influenced by
the size of the CPU cache, but I failed miserably (and Tim was right:
there is a dependency of the numexpr efficency on CPU cache size).
Provided that the
