Integer division vs double division - optimization question

Which operation should be faster on a x86 CPU on Linux and what are the averag开发者_JAVA百科e differences (in %):

unsigned int x, y, z;
x = y / z;

or:

double x, y, z;
x = y / z;

The operation on double will be executed by the FPU and the CPU may continue to other commands. Is it correct? Does it depend on compilation flags (I'm using gcc with the -O3 flag)?

If your work is inherently integer-based, the int-float and float-int conversions may ruin any performance benefit. C's default conversion (truncation) can be particularly slow on older Intel chips.

Apart from that, there are correctness issues with your idea and that's probably sufficient reason not to do it.

An individual floating-point division instruction will take longer than an integer one. However, if you're doing lots in a row, they'll reach approximately the same rate, due to pipelining (on a modern x86, at least).

Oh, and yes, the CPU can be getting on with other operations whilst the FPU is busy.

Integral operations are generally faster than their floating point counterpart. The difference mostly depends on hardware: some platforms don't even have an FPU.

Such a simple operation shouldn't depend at all on your operating system or on compiler flags: that should be some straight forward assembly instructions.

The best way to find out how much any operation takes is checking your platform's assembly manual or running a benchmark.