In the native code above, the C function `pow(double, double)` is called in both cases. Maybe `llvm_powi` is involved; if so, it is lowered to the same `pow` function. The speed difference must have a different reason.
Sometimes there are random things occurring that invalidate benchmark results. (This could be caused by how the compiled functions are aligned respective to cache lines or page boundaries, etc. -- this is black magic I like to invoke if there's a result that I can't explain. You can just ignore my ramblings here.) You could restart Julia, reboot the machine, try a different machine, define several identical functions `f` and `f_float` and look at their speeds, etc... (I would have hoped that this function is translated to the equivalent of `c=cos(x); c2=c*c; return c*c2`, but this is obviously not happening.) -erik On Thu, Sep 24, 2015 at 4:24 PM, Kristoffer Carlsson <kcarlsso...@gmail.com> wrote: > But the floating ones are the faster ones. Shouldn't it be the opposite? -- Erik Schnetter <schnet...@gmail.com> http://www.perimeterinstitute.ca/personal/eschnetter/
