18 Commits

Author SHA1 Message Date
Nikita Popov
580210a0c9 [SLP] Convert some tests to opaque pointers (NFC) 2022-12-23 10:02:57 +01:00
Bjorn Pettersson
3be72f4029 [test][SLPVectorizer] Use -passes syntax in RUN lines. NFC 2022-10-13 10:44:38 +02:00
Alexey Bataev
9dc4ced204 [SLP]Try partial store vectorization if supported by target.
We can try to vectorize number of stores less than MinVecRegSize
/ scalar_value_size, if it is allowed by target. Gives an extra
opportunity for the vectorization.

Fixes PR54985.

Differential Revision: https://reviews.llvm.org/D124284
2022-05-09 09:48:15 -07:00
Philip Reames
7d6e8f2a96 [slp] Delete dead scalar instructions feeding vectorized instructions
If we vectorize a e.g. store, we leave around a bunch of getelementptrs for the individual scalar stores which we removed. We can go ahead and delete them as well.

This is purely for test output quality and readability. It should have no effect in any sane pipeline.

Differential Revision: https://reviews.llvm.org/D122493
2022-03-28 20:10:13 -07:00
Philip Reames
48cc9287f5 Reapply "[SLP] Schedule only sub-graph of vectorizable instructions"" (try 3)
The original commit exposed several missing dependencies (e.g. latent bugs in SLP scheduling).  Most of these were fixed over the weekend and have had several days to bake.  The last was fixed this morning after being noticed in manual review of test changes yesterday.  See the review thread for links to each change.

Original commit message follows:

SLP currently schedules all instructions within a scheduling window which stretches from the first instruction potentially vectorized to the last. This window can include a very large number of unrelated instructions which are not being considered for vectorization. This change switches the code to only schedule the sub-graph consisting of the instructions being vectorized and their transitive users.

This has the effect of greatly reducing the amount of work performed in large basic blocks, and thus greatly improves compile time on degenerate examples. To understand the effects, I added some statistics (not planned for upstream contribution). Here's an illustration from my motivating example:

   Before this patch:

   704357 SLP                          - Number of calcDeps actions
   699021 SLP                          - Number of schedule calls
   5598 SLP                          - Number of ReSchedule actions
   59 SLP                          - Number of ReScheduleOnFail actions
   10084 SLP                          - Number of schedule resets
   8523 SLP                          - Number of vector instructions generated

   After this patch:

   102895 SLP                          - Number of calcDeps actions
   161916 SLP                          - Number of schedule calls
   5637 SLP                          - Number of ReSchedule actions
   55 SLP                          - Number of ReScheduleOnFail actions
   10083 SLP                          - Number of schedule resets
   8403 SLP                          - Number of vector instructions generated

I do want to highlight that there is a small difference in number of generated vector instructions. This example is hitting the bailout due to maximum window size, and the change in scheduling is slightly perturbing when and how we hit it. This can be seen in the RescheduleOnFail counter change. Given that, I think we can safely ignore.

The downside of this change can be seen in the large test diff. We group all vectorizable instructions together at the bottom of the scheduling region. This means that vector instructions can move quite far from their original point in code. While maybe undesirable, I don't see this as being a major problem as this pass is not intended to be a general scheduling pass.

For context, it's worth noting that the pre-scheduling that SLP does while building the vector tree is exactly the sub-graph scheduling implemented by this patch.

Differential Revision: https://reviews.llvm.org/D118538
2022-03-25 10:39:23 -07:00
Philip Reames
deae979a2c Revert "Reapply "[SLP] Schedule only sub-graph of vectorizable instructions"""
This reverts commit 738042711bc08cde9135873200b1d088e6cf11c3. A second, apparently separate, issue has been reported on the original review.
2022-03-03 11:35:34 -08:00
Philip Reames
738042711b Reapply "[SLP] Schedule only sub-graph of vectorizable instructions""
Root issue which triggered the revert was fixed in 689bab.  No changes in the reapplied patch.

Original commit message follows:

SLP currently schedules all instructions within a scheduling window which stretches from the first instr
uction potentially vectorized to the last. This window can include a very large number of unrelated instruct
ions which are not being considered for vectorization. This change switches the code to only schedule the su
b-graph consisting of the instructions being vectorized and their transitive users.

This has the effect of greatly reducing the amount of work performed in large basic blocks, and thus greatly improves compile time on degenerate examples. To understand the effects, I added some statistics (not planned for upstream contribution). Here's an illustration from my motivating example:

    Before this patch:

    704357 SLP                          - Number of calcDeps actions
     699021 SLP                          - Number of schedule calls
       5598 SLP                          - Number of ReSchedule actions
         59 SLP                          - Number of ReScheduleOnFail actions
      10084 SLP                          - Number of schedule resets
       8523 SLP                          - Number of vector instructions generated

    After this patch:

    102895 SLP                          - Number of calcDeps actions
     161916 SLP                          - Number of schedule calls
       5637 SLP                          - Number of ReSchedule actions
         55 SLP                          - Number of ReScheduleOnFail actions
      10083 SLP                          - Number of schedule resets
       8403 SLP                          - Number of vector instructions generated

I do want to highlight that there is a small difference in number of generated vector instructions. This example is hitting the bailout due to maximum window size, and the change in scheduling is slightly perturbing when and how we hit it. This can be seen in the RescheduleOnFail counter change. Given that, I think we can safely ignore.

The downside of this change can be seen in the large test diff. We group all vectorizable instructions together at the bottom of the scheduling region. This means that vector instructions can move quite far from their original point in code. While maybe undesirable, I don't see this as being a major problem as this pass is not intended to be a general scheduling pass.

For context, it's worth noting that the pre-scheduling that SLP does while building the vector tree is exactly the sub-graph scheduling implemented by this patch.

Differential Revision: https://reviews.llvm.org/D118538
2022-03-02 10:47:20 -08:00
Arthur Eubanks
9c6250ee41 Revert "[SLP] Schedule only sub-graph of vectorizable instructions"
This reverts commit 0539a26d91a1b7c74022fa9cf33bd7faca87544d.

Causes a miscompile, see comments on D118538.

Required updating bottom-to-top-reorder.ll.
2022-03-01 17:31:16 -08:00
Philip Reames
0539a26d91 [SLP] Schedule only sub-graph of vectorizable instructions
SLP currently schedules all instructions within a scheduling window which stretches from the first instruction potentially vectorized to the last. This window can include a very large number of unrelated instructions which are not being considered for vectorization. This change switches the code to only schedule the sub-graph consisting of the instructions being vectorized and their transitive users.

This has the effect of greatly reducing the amount of work performed in large basic blocks, and thus greatly improves compile time on degenerate examples. To understand the effects, I added some statistics (not planned for upstream contribution). Here's an illustration from my motivating example:

Before this patch:

704357 SLP                          - Number of calcDeps actions
 699021 SLP                          - Number of schedule calls
   5598 SLP                          - Number of ReSchedule actions
     59 SLP                          - Number of ReScheduleOnFail actions
  10084 SLP                          - Number of schedule resets
   8523 SLP                          - Number of vector instructions generated

After this patch:

102895 SLP                          - Number of calcDeps actions
 161916 SLP                          - Number of schedule calls
   5637 SLP                          - Number of ReSchedule actions
     55 SLP                          - Number of ReScheduleOnFail actions
  10083 SLP                          - Number of schedule resets
   8403 SLP                          - Number of vector instructions generated

I do want to highlight that there is a small difference in number of generated vector instructions. This example is hitting the bailout due to maximum window size, and the change in scheduling is slightly perturbing when and how we hit it. This can be seen in the RescheduleOnFail counter change. Given that, I think we can safely ignore.

The downside of this change can be seen in the large test diff. We group all vectorizable instructions together at the bottom of the scheduling region. This means that vector instructions can move quite far from their original point in code. While maybe undesirable, I don't see this as being a major problem as this pass is not intended to be a general scheduling pass.

For context, it's worth noting that the pre-scheduling that SLP does while building the vector tree is exactly the sub-graph scheduling implemented by this patch.

Differential Revision: https://reviews.llvm.org/D118538
2022-02-22 10:15:55 -08:00
Alexey Bataev
95e5d401ae [SLP]Improve splats vectorization.
Replace insertelement instructions for splats with just single
insertelement + broadcast shuffle. Also, try to merge these instructions
if they come from the same/shuffled gather node.

Differential Revision: https://reviews.llvm.org/D107104
2021-07-30 10:17:45 -07:00
Juneyoung Lee
4a8e6ed2f7 [SLP,LV] Use poison constant vector for shufflevector/initial insertelement
This patch makes SLP and LV emit operations with initial vectors set to poison constant instead of undef.
This is a part of efforts for using poison vector instead of undef to represent "doesn't care" vector.
The goal is to make nice shufflevector optimizations valid that is currently incorrect due to the tricky interaction between undef and poison (see https://bugs.llvm.org/show_bug.cgi?id=44185 ).

Reviewed By: fhahn

Differential Revision: https://reviews.llvm.org/D94061
2021-01-06 11:22:50 +09:00
Anton Afanasyev
e5bf2e8989 [SLP] Use the width of value truncated just before storing
For stores chain vectorization we choose the size of vector
elements to ensure we fit to minimum and maximum vector register
size for the number of elements given. This patch corrects vector
element size choosing the width of value truncated just before
storing instead of the width of value stored.

Fixes PR46983

Differential Revision: https://reviews.llvm.org/D92824
2020-12-09 16:38:45 +03:00
Anton Afanasyev
6c3f56efa6 [SLP][Test] Differentiate SSE/AVX512 test coverage (NFC)
Add test coverage for SSE/AVX512 for insert-after-bundle.ll test.
Prepare this test for accurate showing of PR46983 fix.
2020-12-08 12:00:52 +03:00
Eric Christopher
cee313d288 Revert "Temporarily Revert "Add basic loop fusion pass.""
The reversion apparently deleted the test/Transforms directory.

Will be re-reverting again.

llvm-svn: 358552
2019-04-17 04:52:47 +00:00
Eric Christopher
a863435128 Temporarily Revert "Add basic loop fusion pass."
As it's causing some bot failures (and per request from kbarton).

This reverts commit r358543/ab70da07286e618016e78247e4a24fcb84077fda.

llvm-svn: 358546
2019-04-17 02:12:23 +00:00
Simon Pilgrim
ff3abef395 [SLPVectorizer] reorderInputsAccordingToOpcode - remove non-Instruction canonicalization
Remove attempts to commute non-Instructions to the LHS - the codegen changes appear to rely on chance more than anything else and also have a tendency to fight existing instcombine canonicalization which moves constants to the RHS of commutable binary ops.

This is prep work towards:
(a) reusing reorderInputsAccordingToOpcode for alt-shuffles and removing the similar reorderAltShuffleOperands
(b) improving reordering to optimized cases with commutable and non-commutable instructions to still find splat/consecutive ops.

Differential Revision: https://reviews.llvm.org/D59738

llvm-svn: 356913
2019-03-25 15:53:55 +00:00
Simon Pilgrim
7c53c0f586 [SLPVectorizer][X86] Cleanup test case. NFCI
Remove excess attributes/metadata

llvm-svn: 310227
2017-08-06 20:50:19 +00:00
Dinar Temirbulatov
cc2294a4eb [SLPVectorizer] Add extra parameter to setInsertPointAfterBundle to handle different opcodes, NFCI.
Differential Revision: https://reviews.llvm.org/D35769

llvm-svn: 310183
2017-08-05 18:43:52 +00:00