[PATCH] The LoopVectorizer and libm sqrt
Hal Finkel
hfinkel at anl.gov
Thu Sep 12 13:16:31 PDT 2013
----- Original Message -----
> ----- Original Message -----
> >
> > On Sep 12, 2013, at 2:52 PM, Hal Finkel <hfinkel at anl.gov> wrote:
> >
> > > ----- Original Message -----
> > >> On 09/12/2013 09:34 PM, Hal Finkel wrote:
> > >>> ----- Original Message -----
> > >>>> ----- Original Message -----
> > >>>>> I did not write this code but I assume this was done on
> > >>>>> purpose
> > >>>>> because our llvm.sqrt intrinsics has a slightly different
> > >>>>> semantics:
> > >>>>>
> > >>>>> The ‘llvm.sqrt‘ intrinsics return the sqrt of the specified
> > >>>>> operand,
> > >>>>> returning the same value as the libm ‘sqrt‘ functions would.
> > >>>>> Unlike
> > >>>>> sqrt in libm, however, llvm.sqrt has undefined behavior for
> > >>>>> negative
> > >>>>> numbers other than -0.0 (which allows for better
> > >>>>> optimization,
> > >>>>> because there is no need to worry about errno being set).
> > >>>>> llvm.sqrt(-0.0) is defined to return -0.0 like IEEE sort.
> > >>>>
> > >>>> Hrmm... okay; I'll send a revised patch where we explicitly
> > >>>> check
> > >>>> for
> > >>>> fast-math mode.
> > >>>
> > >>> Or perhaps not; the TargetOptions are not available at the
> > >>> IR-level
> > >>> right now, and so this seems to leave us with two options:
> > >>>
> > >>> 1. Feed something through TTI
> > >>>
> > >>> 2. Have Clang generate the intrinsic directly in fast-math
> > >>> mode
> > >>>
> > >>> I'm leaning toward (1), because I'd like to give the target the
> > >>> ability to declare the availability of a vectorized sqrt that
> > >>> is
> > >>> suitable as a libm sqrt replacement.
> > >>>
> > >>> What do you think?
> > >>
> > >> It seems only 2) would allow to mix fast-math and non-fast-math
> > >> modes,
> > >> which in fact my be very helpful in case of LTO and/or math
> > >> libraries
> > >> that provide fast as well as precise versions of a function.
> > >
> > > I don't think that's right. For one thing, the 'fast math' flags
> > > are now stored in function-level attributes (specifically for
> > > this
> > > reason).
> >
> > Except that the inliner ignores them afaik :).
> >
> > I believe that floating point function level attributes are in a
> > somewhat broken state, they work because I think LTO will remove
> > them if they mismatch (at least I hope so :)
>
> Okay :) -- Maybe the frontend approach is better then (at least for
> now).
It seems as though there is some history here:
svn blame lib/CodeGen/CGBuiltin.cpp
64689 ddunbar // Library functions with special handling.
64689 ddunbar case Builtin::BIsqrt:
64689 ddunbar case Builtin::BIsqrtf:
64689 ddunbar case Builtin::BIsqrtl: {
100613 rjmccall // TODO: there is currently no set of optimizer flags
100613 rjmccall // sufficient for us to rewrite sqrt to @llvm.sqrt.
100613 rjmccall // -fmath-errno=0 is not good enough; we need finiteness.
100613 rjmccall // We could probably precondition the call with an ult
100613 rjmccall // against 0, but is that worth the complexity?
100613 rjmccall break;
Any reason why we can't use the current fast-math setting here?
-Hal
>
> -Hal
>
>
> --
> Hal Finkel
> Assistant Computational Scientist
> Leadership Computing Facility
> Argonne National Laboratory
>
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--
Hal Finkel
Assistant Computational Scientist
Leadership Computing Facility
Argonne National Laboratory
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