[LLVMdev] IR Passes and TargetTransformInfo: Straw Man
Shuxin Yang
shuxin.llvm at gmail.com
Wed Jul 31 16:47:21 PDT 2013
On 7/31/13 4:30 PM, Tobias Grosser wrote:
> On 07/30/2013 09:44 PM, Chris Lattner wrote:
>>
>> On Jul 30, 2013, at 10:19 AM, Shuxin Yang <shuxin.llvm at gmail.com> wrote:
>>
>>> The pro for running LICM early is that it may move big redundant
>>> stuff out of loop nest. You never know
>>> how big it is. In case you are lucky , you can move lot of stuff
>>> out of
>>> loop, the loop may become much smaller and hence enable lots of
>>> downstream optimizations. This sound
>>> to be a big win for control-intensive programs where Loop-nest-opt
>>> normally is a big, expensive no-op.
>>>
>>> The con side is that, as you said, the nest is not perfect any
>>> more. However, I would argue LNO optimizations
>>> should be able to tackle the cases when imperfect part is simple
>>> enough (say, no call, no control etc).
>>> (FYI, Open64's LNO is able to tackle imperfect nesting so long as
>>> imperfect part is simple). Or you just reverse
>>> the LICM, that dosen't sound hard.
>>
>> FWIW, I completely agree with this. The canonical form should be
>> that loop invariants are hoisted. Optimizations should not depend on
>> perfect loops. This concept really only makes sense for Source/AST
>> level transformations anyway, which don't apply at the LLVM IR level.
>
> Some comments from an LNO such as Polly. In general, Polly and
> probably many modern loop nest optimizers do not care that much about
> perfectly or imperfectly nested loop nests. Transformations work
> either way.
>
> LICM is problematic due to another reason. LICM introduces new memory
> dependences. Here a simple example
I'm pretty sure Open64's LNO is able to revert LICM-ed loop back to what
to was.
>
> Normal loop:
>
> for i
> for j
> sum[i] += A[i][j]
>
> LICM loop:
>
> for i
> s = sum[i]
> for j
> s += A[i][j]
> sum[i] = s
>
>
> Calculating precise dependences for the second loop yields a lot more
> dependences that prevent possible transformations. A LNO can always
> remove those LICM introduced dependences by expanding memory, but full
> memory expansion is impractical. Deriving the right amount of memory
> expansion (e.g. the one that just reverts the LICM) is a difficult
> problem. From a LNO perspective first deriving possible
> transformations, then transforming the loop and as a last step
> applying LICM seems to be the better option.
>
> Having said that, if there are compelling reasons outside of LNO to
> keep the LICM in the canonicalization pass, I can see us following
> Andrews suggestion to disable LICM in case a LNO is run and having the
> LNO schedule an additional set of cleanup passes later on.
>
> Cheers,
> Tobias
>
>
>
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