Following up to 933f49248, also update the code reasoning about
backwards dependences to support non-constant distances.
Update the code to use the signed minimum distance instead of a constant
distance
This means e checked the lower bound of the dependence distance and the
distance may be larger at runtime (and safe for vectorization). Whether
to classify it as Unknown or Backwards depends on the vector width and
LAA was updated to take TTI to get the maximum vector register width.
If the minimum dependence distance is larger than the max vector width,
we consider it as backwards-vectorizable. Otherwise we classify them as
Unknown, so we re-try with runtime checks.
PR: https://github.com/llvm/llvm-project/pull/91525
This updates the naming for the LAA printing pass to be in line with
most other analysis printing passes.
The old name has come up as confusing multiple times already, e.g. in
D131924.
Only tests in llvm/test/Analysis.
-analyze is legacy PM-specific.
This only touches files with `-passes`.
I looked through everything and made sure that everything had a new PM equivalent.
Reviewed By: MaskRay
Differential Revision: https://reviews.llvm.org/D109040
proven larger than the loop-count
This fixes PR31098: Try to resolve statically data-dependences whose
compile-time-unknown distance can be proven larger than the loop-count,
instead of resorting to runtime dependence checking (which are not always
possible).
For vectorization it is sufficient to prove that the dependence distance
is >= VF; But in some cases we can prune unknown dependence distances early,
and even before selecting the VF, and without a runtime test, by comparing
the distance against the loop iteration count. Since the vectorized code
will be executed only if LoopCount >= VF, proving distance >= LoopCount
also guarantees that distance >= VF. This check is also equivalent to the
Strong SIV Test.
Reviewers: mkuper, anemet, sanjoy
Differential Revision: https://reviews.llvm.org/D28044
llvm-svn: 294892
