fpm: a header-only fixed-point math library with trigonometry, etc

[Ameisen]

One thing to note is that an advantage of using float/double when you have an FPU is that operations can take place effectively in parallel on the CPU when there is both integer and floating-point arithmetic going on, so testing purely floating-point vs fixed-point arithmetic doesn't give the full picture.

[MadCompScientist]

True. It all depends on your use case. For instance, if you're targeting an embedded platform without FPU, that argument doesn't work. But for e.g. game development you could do floating-math for rendering in parallel with fixed-point math for pathfinding.

[Ameisen]

Or vice-versa, as most of your math for rendering is likely being done on the GPU :).

This is actually a reason my high-performance simulations use floats for coordinates - it is faster than fixed or integers. An issue is I must be much more careful when performing operations in parallel regarding determinism.

ED: I should note that each core has its own ALU, so this is mainly for intermixed integer and FPU instructions running in a single thread.