[cfe-dev] [llvm-dev] RFC: Supported Optimizations attribute
John McCall via cfe-dev
cfe-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
>> 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
>> 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
>> 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
>> The second is what doesn't generalize: there are optimizations where
>> you need to
>> rely on transition points being explicitly identified. Looking at a
>> with no identified transition points, you don't know whether it
>> actually doesn't
>> transition or whether it was compiled without the transitions being
>> 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
>> I think the way your framing this is dangerous. We absolutely
>> not allow any annotation of this form to *weaken* the semantics
>> the existing IR. We can and should impose a criteria that any
>> extension of this variety strictly add information to the IR
>> might not have been previously inferred. We can then design
>> for how to preserve our new information as long as possible, but
>> framing this in terms of disallowed transformations is really a
>> That's exactly what I was trying to convey here. Authors of
>> optimizations need to design their representations so that
>> that know nothing about their optimizations but merely preserve
>> and well-formed IR structure will not break their representations.
>> The only
>> transforms that need to know about the existence of good-faith
>> are interprocedural optimizations; furthermore, those optimizations
>> need to know about any good-faith optimizations specifically, they
>> just need
>> to understand how to correctly update the supported_optimizations
>> That is a very small burden on IPO that enables an interesting class
>> 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
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?
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