[llvm-dev] [RFC] Enhance Partial Inliner by using a general outlining scheme for cold blocks
Graham Yiu via llvm-dev
llvm-dev at lists.llvm.org
Thu Aug 24 10:40:37 PDT 2017
Hi David,
So I've began doing some implementation on the outlining portion of the
code. Currently, I got the partial inliner to outline cold regions (single
entry, single exit) of the code, based solely on the existence of
ProfileSummaryInfo (ie. profiling data). However, I have some concerns on
how this will co-exist with the existing code that peels early returns.
The control flow looks something like this:
// New Code: find cold regions to outline
if (!computeOutliningInfoForColdRegions()) {
// If we can't find any cold regions, then fall-back to early return
peeling
if (!computeOutliningInfo) {
return nullptr;
}
}
// Try to outline the identified regions
// Then try to inline the cloned function
My concern is during inlining, if we fail to inline the cloned function, we
give up and discard all cloned and outlined functions. But with these two
types of outlining we're doing, it's possible to attempt to inline the
cloned function that has outlined cold regions, and if we cannot do so, try
to inline a different clone that has peeled early returns (ie. the way we
have it today). This would require us to clone the original function twice
and modify one based on cold region outlining and the other early return
peeling, with the latter being our fall-back option if we fail to inline
the first clone.
What are your thoughts?
Graham Yiu
LLVM Compiler Development
IBM Toronto Software Lab
Office: (905) 413-4077 C2-707/8200/Markham
Email: gyiu at ca.ibm.com
From: Graham Yiu/Toronto/IBM
To: Xinliang David Li <xinliangli at gmail.com>
Cc: llvm-dev <llvm-dev at lists.llvm.org>
Date: 08/15/2017 08:04 PM
Subject: Re: [llvm-dev] [RFC] Enhance Partial Inliner by using a general
outlining scheme for cold blocks
Hey David,
Yes, we'll need to consider the effect on live ranges for regions we want
to outline. In my experience, outlining live-exit regions seem to cause
the most harm as we ruin chances to keep data in registers as you were
alluding to. It's unclear, however, what the exact effect of outlining
regions with live-entries would be.
I'll probably try to avoid regions that are not single entry & single exit
at least initially, to simplify the transformation and analysis. Are
multi-exit regions common in your experience?
And of course, I agree, we should reuse as much of the current partial
inlining infrastructure as possible. I'll likely run some ideas by you as
I begin to make changes.
Cheers,
Graham Yiu
LLVM Compiler Development
IBM Toronto Software Lab
Office: (905) 413-4077 C2-407/8200/Markham
Email: gyiu at ca.ibm.com
From: Xinliang David Li <xinliangli at gmail.com>
To: Graham Yiu <gyiu at ca.ibm.com>
Cc: llvm-dev <llvm-dev at lists.llvm.org>
Date: 08/15/2017 05:36 PM
Subject: Re: [llvm-dev] [RFC] Enhance Partial Inliner by using a general
outlining scheme for cold blocks
Hi Graham, Making partial inlining more general is something worth doing.
Regarding your implementation plan, I have some suggestions here:
*) Function outlining introduces additional runtime cost: passing of live
in values, returning of live out values (via memory), glue code in the
caller to handle regions without a single exit block etc. The cost
analysis needs to factor in those carefully
*) Remove the limitation that there is only *one* outlined routine.
Instead, the algorithm can compute multiple single-entry/single exit or
single entry/multiple exit regions (cold ones) in the routine, and outline
each region into its own function. The benefit include
1) simplify the design and implementation and most of the existing code
can be reused;
2) provide more flexibility to allow most effective outlining;
3) reduced runtime overhead of making calls to the outline functions.
thanks,
David
On Tue, Aug 15, 2017 at 11:22 AM, Graham Yiu via llvm-dev <
llvm-dev at lists.llvm.org> wrote:
Hello,
My team and I are looking to do some enhancements in the partial inliner
in opt. Would appreciate any feedback that folks might have.
# Partial Inlining in LLVM opt
## Summary
### Background
Currently, the partial inliner searches the first few blocks of the
callee and looks for a branch to the return block (ie. early return). If
found, it attempts to outline the rest of the slow (or heavy) code so the
inliner will be able to inline the fast (or light) code. If no early
returns are found, the partial inliner will give up. As far as I can
tell, BlockFrequency and BranchProbability information is only used when
attempting to inline the early return code, and not used to determine
whether to outline the slow code.
### Proposed changes
In addition to looking for early returns, we should utilize profile
information to outline blocks that are considered cold. If we can
sufficiently reduce the size of the original function via this type of
outlining, inlining should be able to inline the rest of the hot code.
## Details
With the presence of profile information, we have a view of what code is
infrequently executed and make better decisions on what to outline. Early
return blocks that are infrequently executed should still be included as
candidates for outlining, but will be treated just like any other cold
blocks. Without profiling information, however, we should remain
conservative and only partial inline in the presence of an early return
in the first few blocks of a function (ie. peel the early return out of
the function).
To find cold regions to outline, we will traverse the CFG to find edges
deemed 'cold' and look at the blocks dominated by the successor node. If,
for some reason, that block has more than one predecessor, then we will
skip this candidate as there should be a node that dominates this
successor that has a single entry point. The last node in the dominance
vector should also have a single successor. If it does not, then further
investigation of the CFG is necessary to see when/how this situation
occurs.
We will need several heuristics to make sure we only outline in cases
where we are confident it will result in a performance gain. Things such
as threshold on when a branch is considered cold, the minimum number of
times the predecessor node has to be executed in order for an edge to be
considered (confidence factor), and the minimum size of the region to be
outlined (can use inlining cost analysis like we currently do) will
require some level of tuning.
Similar to the current implementation, we will attempt to inline the
leftover (hot) parts of the code, and if for some reason we cannot then
we discard the modified function and its outlined code.
### Code changes
The current Partial Inlining code first clones the function of interest
and looks for a single set of blocks to outline. It then creates a
function with the set the blocks, and saves the outlined function and
outline callsite information as part of the function cloning container.
In order to outline multiple regions of the function, we will need to
change these containers to keep track of a list of regions to outline. We
will also need to update the cost analysis to take into account multiple
outlined functions.
When a ProfileSummary is available, then we should skip the code that
looks for early returns and go into new code that looks for cold regions
to outline. When ProfileSummary is not available, then we can fall back
to the existing code and look for early returns only.
### Tuning
- The outlining heuristics will need to determine if a set of cold blocks
is large enough to warrant the overhead of a function call. We also don't
want the inliner to attempt to inline the outlined code later.
- The threshold for determining whether a block is cold will also need to
be tuned. In the case that profiling information is not accurate, we will
pay the price of the additional call overhead for executing cold code.
- The confidence factor, which can be viewed as the minimum number of
times the predecessor has to be executed in order for an edge to be
considered cold, should also be taken into account to avoid outlining
code paths we have little information on.
Graham Yiu
LLVM Compiler Development
IBM Toronto Software Lab
Office: (905) 413-4077 C2-407/8200/Markham
Email: gyiu at ca.ibm.com
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