[llvm-dev] RFC: Supported Optimizations attribute (original) (raw)

John McCall via llvm-dev llvm-dev at lists.llvm.org
Wed Dec 5 09:45:51 PST 2018

On 5 Dec 2018, at 12:19, Philip Reames wrote:

On 12/4/18 3:21 PM, John McCall wrote:

On 4 Dec 2018, at 17:50, Philip Reames wrote: Skimming along, apologies if I'm repeating something which already got said. If I understand this correctly, the basic problem we're trying to solve is to use a local hint (the invariant.group) to make a global assumption about other code which might exist elsewhere outside the function. The attribute proposed can basically be phrased as describing a universe of functions within which our desired global property holds.  There's an ambiguity about what is allowed to be assumed about code outside that universe. I think it's important to note that we have a precedent of something similar to this in TBAA.  TBAA information coming from different modules has the same base problem. We solve it by using the "root" of the TBAA tree as a scope descriptor, and essentially making two TBAA nodes from distinct roots incomparable. Can someone explain concisely why a similar scheme couldn't be used to solve this problem? TBAA is conservative in /two/ ways: - It allows two accesses to alias if they have TBAA nodes with different roots. - It allows two accesses to alias if only one of them has a TBAA node. The second is what doesn't generalize: there are optimizations where you need to rely on transition points being explicitly identified. Looking at a function with no identified transition points, you don't know whether it actually doesn't transition or whether it was compiled without the transitions being explicitly marked. There's no way to extend the TBAA idea to make that work. On 12/4/18 11:24 AM, John McCall via llvm-dev wrote: Note that IPO is generally permitted to partially inline or outline code, and so good-faith optimizations that e.g. require two instructions to be moved in tandem or not at all must use tokens to establish that unbreakable relationship. I think the way your framing this is dangerous.  We absolutely can not allow any annotation of this form to weaken the semantics of the existing IR. We can and should impose a criteria that any extension of this variety strictly add information to the IR which might not have been previously inferred.  We can then design rules for how to preserve our new information as long as possible, but framing this in terms of disallowed transformations is really a non-starter. That's exactly what I was trying to convey here. Authors of good-faith optimizations need to design their representations so that transformations that know nothing about their optimizations but merely preserve semantics and well-formed IR structure will not break their representations. The only transforms that need to know about the existence of good-faith optimizations are interprocedural optimizations; furthermore, those optimizations don't need to know about any good-faith optimizations specifically, they just need to understand how to correctly update the supportedoptimizations list. That is a very small burden on IPO that enables an interesting class of language-specific optimizations. Two responses: 1) My comment was on framing, not substance.  I'm not debating the semantics you've proposed (here), just the way they're described.  The way they're described here is very likely to lead to problematic misinterpretation.

Yes, and I'm trying to improve the way I'm talking about it, so I would appreciate feedback on whether you feel that my clarifications are still prone to problematic misinterpretations.

2) Reading back through your description again, it really sounds like you've reinvented the rules for metadata with an alternate framing.  The only part which is possibly new is the IPO rules you want to apply.  Worth noting is that we already have existing support for metadata on both instructions and functions.

Optimizations relying wholly on metadata can't have this problem because of the existing rules for metadata: if the optimization is correct even when metadata is randomly dropped, it's correct when metadata is incompletely added in the first place. The problem is specific to intrinsic-centric optimizations, as intrinsics cannot be summarily dropped like metadata (which is necessary for the correctness of the optimization) but may not have been added to all functions in the module because of e.g. LTO.

Would this conversation would be more productive if we worked through an example optimization so that you could see the issues involved?

John.

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