[llvm-dev] [RFC] Add IR level interprocedural outliner for code size.

River Riddle via llvm-dev llvm-dev at lists.llvm.org
Mon Jul 24 11:55:13 PDT 2017

Hi Jessica,
 The comparison to the inliner is an interesting one but we think it's
important to note the difference in the use of heuristics. The inliner is
juggling many different tasks at the same time, execution speed, code size,
etc. which can cause the parameters to be very sensitive depending on the
benchmark/platform/etc. The outliners heuristics are focused solely on the
potential code size savings from outlining, and is thus only sensitive to
the current platform. This only creates a problem when we are over
estimating the potential cost of a set of instructions for a particular
target. The cost model parameters are only minimums: instruction sequence
length, estimated benefit, occurrence amount. The heuristics themselves are
conservative and based upon all of the target information available at the
IR level, the parameters are just setting a lower bound to weed out any
outliers. You are correct in that being at the machine level, before or
after RA, will give the most accurate heuristics but we feel there's an
advantage to being at the IR level. At the IR level we can do so many more
things that are either too difficult/complex for the machine level(e.g
parameterization/outputs/etc). Not only can we do these things but they are
available on all targets immediately, without the need for target hooks.
The caution on the use of heuristics is understandable, but there comes a
point when trade offs need to be made. We made the trade off for a loss in
exact cost modeling to gain flexibility, coverage, and potential for
further features. This trade off is the same made for quite a few IR level
optimizations, including inlining. As for the worry about code size
regressions, so far the results seem to support our hypothesis.
River Riddle

On Mon, Jul 24, 2017 at 11:12 AM, Jessica Paquette <jpaquette at apple.com>

> Hi River,
> I’m working on the MachineOutliner pass at the MIR level. Working at the
> IR level sounds interesting! It also seems like our algorithms are similar.
> I was thinking of taking the suffix array route with the MachineOutliner in
> the future.
> Anyway, I’d like to ask about this:
> On Jul 20, 2017, at 3:47 PM, River Riddle via llvm-dev <
> llvm-dev at lists.llvm.org> wrote:
> The downside to having this type of transformation be at the IR level is
> it means there will be less accuracy in the cost model -  we can somewhat
> accurately model the cost per instruction but we can’t get information on
> how a window of instructions may lower. This can cause regressions
> depending on the platform/codebase, therefore to help alleviate this there
> are several tunable parameters for the cost model.
> The inliner is threshold-based and it can be rather unpredictable how it
> will impact the code size of a program. Do you have any idea as to how
> heuristics/thresholds/parameters could be tuned to prevent this? In my
> experience, making good code size decisions with these sorts of passes
> requires a lot of knowledge about what instructions you’re dealing with
> exactly. I’ve seen the inliner cause some pretty serious code size
> regressions in projects due to small changes to the cost model/parameters
> which cause improvements in other projects. I’m a little worried that an
> IR-level outliner for code size would be doomed to a similar fate.
> Perhaps it would be interesting to run this sort of pass pre-register
> allocation? This would help pull you away from having to use heuristics,
> but give you some more opportunities for finding repeated instruction
> sequences. I’ve thought of doing something like this in the future with the
> MachineOutliner and seeing how it goes.
> - Jessica
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