and the run time dropped down from 17.5 seconds to 11.2 seconds. If I remove -funroll-all-loops, the run time jumps to 14.2 seconds. The original 17.5 seconds were ran with vanilla code using float and -O3. Interestingly enough, if you use the aforementioned flags with floats instead of doubles, the program executes in 15.01 seconds instead. Using floats is bad for performance! Further, if you remove -funroll-all-loops when using floats, the performance increases, but with doubles it decreases.
So, when optimizing, play with compiler flags. Play with types. Play with whatever you have at your disposal and make no assumptions. This stuff is far more complex than believing that certain flags are better than others, it all depends on everything.
(Note that I am comparing apples to oranges here, I used the C++ code used in Rust experiments found here: https://github.com/huonw/card-trace/blob/master/original.cpp )
I changed the C++ version typedef float f to typedef double f, so using floats instead of doubles, compiling with the following flags:
and the run time dropped down from 17.5 seconds to 11.2 seconds. If I remove -funroll-all-loops, the run time jumps to 14.2 seconds. The original 17.5 seconds were ran with vanilla code using float and -O3. Interestingly enough, if you use the aforementioned flags with floats instead of doubles, the program executes in 15.01 seconds instead. Using floats is bad for performance! Further, if you remove -funroll-all-loops when using floats, the performance increases, but with doubles it decreases.So, when optimizing, play with compiler flags. Play with types. Play with whatever you have at your disposal and make no assumptions. This stuff is far more complex than believing that certain flags are better than others, it all depends on everything.