[LLVMdev] RFC - Improvements to PGO profile support
Duncan P. N. Exon Smith
dexonsmith at apple.com
Thu Mar 12 14:42:12 PDT 2015
> On 2015-Mar-10, at 10:14, Diego Novillo <dnovillo at google.com> wrote:
>
>
>
> On Thu, Mar 5, 2015 at 11:29 AM, Bob Wilson <bob.wilson at apple.com> wrote:
>
>> On Mar 2, 2015, at 4:19 PM, Diego Novillo <dnovillo at google.com> wrote:
>>
>> On Thu, Feb 26, 2015 at 6:54 PM, Diego Novillo <dnovillo at google.com> wrote:
>>
>> I've created a few bugzilla issues with details of some of the things I'll be looking into. I'm not yet done wordsmithing the overall design document. I'll try to finish it by early next week at the latest.
>>
>> The document is available at
>>
>> https://docs.google.com/document/d/15VNiD-TmHqqao_8P-ArIsWj1KdtU-ElLFaYPmZdrDMI/edit?usp=sharing
>>
>> There are several topics covered. Ideally, I would prefer that we discuss each topic separately. The main ones I will start working on are the ones described in the bugzilla links we have in the doc.
>>
>> This is just a starting point for us. I am not at all concerned with implementing exactly what is proposed in the document. In fact, if we can get the same value using the existing support, all the better.
>>
>> OTOH, any other ideas that folks may have that work better than this are more than welcome. I don't have really strong opinions on the matter. I am fine with whatever works.
>
> Thanks for the detailed write-up on this. Some of the issues definitely need to be addressed. I am concerned, though, that some of the ideas may be leading toward a scenario where we have essentially two completely different ways of representing profile information in LLVM IR. It is great to have two complementary approaches to collecting profile data, but two representations in the IR would not make sense.
>
> Yeah, I don't think I'll continue to push for a new MD_count attribute. If we were to make MD_prof be a "real" execution count, that would be enough. Note that by re-using MD_prof we are not changing its meaning at all. The execution count is still a weight and the ratio is still branch probability. All that we are changing are the absolute values of the number and increasing its data type width to remove the 32bit limitation.
>
>
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> The first issue raised is that profile execution counts are not represented in the IR. This was a very intentional decision. I know it goes against what other compilers have done in the past. It took me a while to get used to the idea when Andy first suggested it, so I know it seems awkward at first. The advantage is that branch probabilities are much easier to keep updated in the face of compiler transformations, compared to execution counts.
>
> Sorry. I don't follow. Updating counts as the CFG is transformed is not difficult at all. What examples do you have in mind? The big advantage of making MD_prof an actual execution count is that it is a meaningful metric wrt scaling and transformation.
>
> Say, for instance, that we have a branch instruction with two targets with counts {100, 300} inside a function 'foo' that has entry count 2. The edge probability for the first edge (count 100) is 100/(100+300) = 25%.
>
> If we inline foo() inside another function bar() at a callsite with profile count == 1, the cloned branch instruction gets its counters scaled with the callsite count. So the new branch has counts {100 * 1 / 2, 300 * 1 / 2} = {50, 150}. But the branch probability did not change. Currently, we are cloning the branch without changing the edge weights.
>
> This scaling is not difficult at all and can be incrementally very quickly. We cannot afford to recompute all frequencies on the fly because it would be detrimental to compile time. If foo() itself has N callees inlined into it, each inlined callee needs to trigger a re-computation. When foo() is inlined into bar(), the frequencies will need to be recomputed for foo() and all N callees inlined into foo().
>
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> We are definitely missing the per-function execution counts that are needed to be able to compare relative “hotness” across functions, and I think that would be a good place to start making improvements. In the long term, we should keep our options open to making major changes, but before we go there, we should try to make incremental improvements to fix the existing infrastructure.
>
> Right, and that's the core of our proposal. We don't really want to make major infrastructure changes at this point. The only thing I'd like to explore is making MD_prof a real count. This will be useful for the inliner changes and it would also make incremental updates easier, because the scaling that needs to be done is very straightforward and quick.
>
> Note that this change should not modify the current behaviour we get from profile analysis. Things that were hot before should continue to be hot now.
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> Many of the other issues you raise seem like they could also be addressed without major changes to the existing infrastructure. Let’s try to fix those first.
>
> That's exactly the point of the proposal. We definitely don't want to make major changes to the infrastructure at first. My thinking is to start working on making MD_prof a real count. One of the things that are happening is that the combination of real profile data plus the frequency propagation that we are currently doing is misleading the analysis.
>
> For example (thanks David for the code and data). In the following code:
>
> int g;
> __attribute__((noinline)) void bar() {
> g++;
> }
>
> extern int printf(const char*, ...);
>
> int main()
> {
> int i, j, k;
>
> g = 0;
>
> // Loop 1.
> for (i = 0; i < 100; i++)
> for (j = 0; j < 100; j++)
> for (k = 0; k < 100; k++)
> bar();
>
> printf ("g = %d\n", g);
> g = 0;
>
> // Loop 2.
> for (i = 0; i < 100; i++)
> for (j = 0; j < 10000; j++)
> bar();
>
> printf ("g = %d\n", g);
> g = 0;
>
>
> // Loop 3.
> for (i = 0; i < 1000000; i++)
> bar();
>
> printf ("g = %d\n", g);
> g = 0;
> }
>
> When compiled with profile instrumentation, frequency propagation is distorting the real profile because it gives different frequency to the calls to bar() in the 3 different loops. All 3 loops execute 1,000,000 times, but after frequency propagation, the first call to bar() gets a weight of 520,202 in loop #1, 210,944 in loop #2 and 4,096 in loop #3. In reality, every call to bar() should have a weight of 1,000,000.
(Sorry for the delay responding; I've been on holiday.)
There are two things going on here.
Firstly, the loop scales are being capped at 4096. I propagated this
approximation from the previous version of BFI. If it's causing a
problem (which it looks like it is), we should drop it and fix what
breaks. You can play around with this by commenting out the `if`
statement at the end of `computeLoopScale()` in
BlockFrequencyInfoImpl.cpp.
For example, without that logic this testcase gives:
Printing analysis 'Block Frequency Analysis' for function 'main':
block-frequency-info: main
- entry: float = 1.0, int = 8
- for.cond: float = 51.5, int = 411
- for.body: float = 50.5, int = 403
- for.cond1: float = 5051.0, int = 40407
- for.body3: float = 5000.5, int = 40003
- for.cond4: float = 505001.0, int = 4040007
- for.body6: float = 500000.5, int = 4000003
- for.inc: float = 500000.5, int = 4000003
- for.end: float = 5000.5, int = 40003
- for.inc7: float = 5000.5, int = 40003
- for.end9: float = 50.5, int = 403
- for.inc10: float = 50.5, int = 403
- for.end12: float = 1.0, int = 8
- for.cond13: float = 51.5, int = 411
- for.body15: float = 50.5, int = 403
- for.cond16: float = 500051.0, int = 4000407
- for.body18: float = 500000.5, int = 4000003
- for.inc19: float = 500000.5, int = 4000003
- for.end21: float = 50.5, int = 403
- for.inc22: float = 50.5, int = 403
- for.end24: float = 1.0, int = 8
- for.cond26: float = 500001.5, int = 4000011
- for.body28: float = 500000.5, int = 4000003
- for.inc29: float = 500000.5, int = 4000003
- for.end31: float = 1.0, int = 8
(Now we get 500000.5 for all the inner loop bodies.)
Secondly, instrumentation-based profiling intentionally fuzzes the
profile data in the frontend using Laplace's Rule of Succession (look at
`scaleBranchWeight()` in CodeGenPGO.cpp).
For example, "loop 1" (which isn't affected by the 4096 cap) should give
a loop scale of 500000.5, not 1000000. (The profile data says
1000000/10000 for the inner loop, 10000/100 for the middle, and 100/1
for the outer loop. Laplace says that we should fuzz these branch
weights to 1000001/10001, 10001/101, and 101/2, which works out to
1000001/2 == 500000.5 total.)
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