Automatically inlining functions is not easy
Git revision #9c2913af
Modified at 11. August 2025 16:38
Written by alex_s168
Note that the
PDF Version of this page might look a bit better styling wise.
Introduction
Function calls have some overhead, which can sometimes be a big issue for other optimizations. Because of that, compiler backends (should) inline function calls. There are however many issues with just greedily inlining calls…
Greedy inlining with heuristics
This is the most obvious approach. We can just inline all functions with only one call, and then inline calls where the inlined function does not have many instructions.
Example:
function f32 $square(f32 %x) {
@entry:
// this is stupid, but I couldn't come up with a better example
f32 %e = add %x, 0
f32 %out = add %e, %x
ret %out
}
function f32 $hypot(f32 %a, f32 %b) {
@entry:
f32 %as = call $square(%a)
f32 %bs = call $square(%b)
f32 %sum = add %as, %bs
f32 %o = sqrt %sum
ret %o
}
function f32 $tri_hypot({f32, f32} %x) {
f32 %a = extract %x, 0
f32 %b = extract %x, 1
f32 %o = call $hypot(%a, %b) // this is a "tail call"
ret %o
}
// let's assume that $hypot is used someplace else in the code too
Let’s assume our inlining treshold is 5 operations. Then we would get – Waait there are multiple options…
Issue 1: (sometimes) multiple options
If we inline the $square
calls, then $hypot
will have too many instructions to be inlined into $tri_hypot
:
...
function f32 $hypot(f32 %a, f32 %b) {
@entry:
// more instructions than our inlining treshold:
f32 %ase = add %a, 0
f32 %as = add %ase, %a
f32 %bse = add %b, 0
f32 %bs = add %bse, %b
f32 %sum = add %as, %bs
f32 %o = sqrt %sum
ret %o
}
...
The second option is to inline the $hypot
call into $tri_hypot
. (There are also some other options)
Now in this case, it seems obvious to prefer inlining $square
into $hypot
.
Issue 2: ABI requirements on argument passing
If we assume the target ABI only has one f32 register for passing arguments, then we would have to generate additional instructions for passing the second argument of $hypot
, and then it might actually be more efficient to inline $hypot
instead of $square
.
This example is not realistic, but this issue actually occurs when compiling lots of code.
Another related issue is that having more arguments arranged in a fixed way will require lots of moving data arround at the call site.
A solution to this is to make the heuristics not just output code size, but also make it depend on the number of arguments / outputs passed to the function.
Issue 3: (sometimes) prevents optimizations
function f32 $myfunc(f32 %a, f32 %b) {
@entry:
f32 %sum = add %a, %b
f32 %sq = sqrt %sum
...
}
function $callsite(f32 %a, f32 %b) {
@entry:
f32 %as = add %a, %a
f32 %bs = add %b, %b
f32 %x = call $myfunc(%as, %bs)
...
}
If the target has a efficient hypot
operation, then that operation will only be used if we inline $myfunc
into $callsite
.
This means that inlining is now depended on… instruction selection??
This is not the only optimization prevented by not inlining the call. If $callsite
were to be called in a loop, then not inlining would prevent vectorization.
Function outlining
A related optimization is “outlining”. It’s the opposite to inlining. It moves duplicate code into a function, to reduce code size, and sometimes increase performance (because of instruction caching)
If we do inlining seperately from outlining, we often get unoptimal code.
A better approach
We can instead first inline all inlinable calls, and then perform more agressive outlining.
Step 1: inlining
We inline all function calls, except for:
- self recursion (obviously)
- functions explicitly marked as no-inline by the user
Step 2: detect duplicate code
There are many algorithms for doing this.
The goal of this step is to both:
- maximize size of outlinable section
- minimize size of code
Step 3: slightly reduce size of outlinable section
The goal is to reduce size of outlinable sections, to make the code more optimal.
This should be ABI and instruction depended, and have the goal of:
- reducing argument shuffles required at all call sites
- reducing register preassure
- not preventing good isel choices and optimizations.
this is also dependent on the targetted code size.
Step 4: perform outlining
This is obvious.
Issue 1: high compile-time memory usage
Inlining all function calls first will increase the memory usage during compilation by A LOT
I’m sure that there is a smarter way to implement this method, without actually performing the inlining…
Conclusion
Function inlining is much more complex than one might think.
PS: No idea how to implement this…
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