Commit Graph

19 Commits

Author SHA1 Message Date
Hao Liu 8de4f8b1b5 [LoopVectorize] Induction variables: support arbitrary constant step.
Previously, only -1 and +1 step values are supported for induction variables. This patch extends LV to support
arbitrary constant steps.
Initial patch by Alexey Volkov. Some bug fixes are added in the following version.

Differential Revision: http://reviews.llvm.org/D6051 and http://reviews.llvm.org/D7193

llvm-svn: 227557
2015-01-30 05:02:21 +00:00
Sanjay Patel b653de1ada Rename getMaximumUnrollFactor -> getMaxInterleaveFactor; also rename option names controlling this variable.
"Unroll" is not the appropriate name for this variable. Clang already uses 
the term "interleave" in pragmas and metadata for this.

Differential Revision: http://reviews.llvm.org/D5066

llvm-svn: 217528
2014-09-10 17:58:16 +00:00
Hal Finkel 7ae00a1282 [LoopVectorize] Use AA to partition potential dependency checks
Prior to this change, the loop vectorizer did not make use of the alias
analysis infrastructure. Instead, it performed memory dependence analysis using
ScalarEvolution-based linear dependence checks within equivalence classes
derived from the results of ValueTracking's GetUnderlyingObjects.

Unfortunately, this meant that:
  1. The loop vectorizer had logic that essentially duplicated that in BasicAA
     for aliasing based on identified objects.
  2. The loop vectorizer could not partition the space of dependency checks
     based on information only easily available from within AA (TBAA metadata is
     currently the prime example).

This means, for example, regardless of whether -fno-strict-aliasing was
provided, the vectorizer would only vectorize this loop with a runtime
memory-overlap check:

void foo(int *a, float *b) {
  for (int i = 0; i < 1600; ++i)
    a[i] = b[i];
}

This is suboptimal because the TBAA metadata already provides the information
necessary to show that this check unnecessary. Of course, the vectorizer has a
limit on the number of such checks it will insert, so in practice, ignoring
TBAA means not vectorizing more-complicated loops that we should.

This change causes the vectorizer to use an AliasSetTracker to keep track of
the pointers in the loop. The resulting alias sets are then used to partition
the space of dependency checks, and potential runtime checks; this results in
more-efficient vectorizations.

When pointer locations are added to the AliasSetTracker, two things are done:
  1. The location size is set to UnknownSize (otherwise you'd not catch
     inter-iteration dependencies)
  2. For instructions in blocks that would need to be predicated, TBAA is
     removed (because the metadata might have a control dependency on the condition
     being speculated).

For non-predicated blocks, you can leave the TBAA metadata. This is safe
because you can't have an iteration dependency on the TBAA metadata (if you
did, and you unrolled sufficiently, you'd end up with the same pointer value
used by two accesses that TBAA says should not alias, and that would yield
undefined behavior).

llvm-svn: 213486
2014-07-20 23:07:52 +00:00
Stephen Lin c1c7a1309c Update Transforms tests to use CHECK-LABEL for easier debugging. No functionality change.
This update was done with the following bash script:

  find test/Transforms -name "*.ll" | \
  while read NAME; do
    echo "$NAME"
    if ! grep -q "^; *RUN: *llc" $NAME; then
      TEMP=`mktemp -t temp`
      cp $NAME $TEMP
      sed -n "s/^define [^@]*@\([A-Za-z0-9_]*\)(.*$/\1/p" < $NAME | \
      while read FUNC; do
        sed -i '' "s/;\(.*\)\([A-Za-z0-9_]*\):\( *\)@$FUNC\([( ]*\)\$/;\1\2-LABEL:\3@$FUNC(/g" $TEMP
      done
      mv $TEMP $NAME
    fi
  done

llvm-svn: 186268
2013-07-14 01:42:54 +00:00
Nadav Rotem 30a65bc39e Remove the -licm pass from the loop vectorizer test because the loop vectorizer does it now.
llvm-svn: 171930
2013-01-09 01:20:59 +00:00
Nadav Rotem e9f5bfd5e9 iLoopVectorize: Non commutative operators can be used as reduction variables as long as the reduction chain is used in the LHS.
PR14803.

llvm-svn: 171583
2013-01-05 01:15:47 +00:00
Nadav Rotem 6d9dafe3ff Force a fixed unroll count on the target independent tests.
This should fix clang-native-arm-cortex-a9. Thanks Renato.

llvm-svn: 171582
2013-01-05 00:58:48 +00:00
Paul Redmond 874f01e956 Do not vectorize loops with subtraction reductions
Since subtraction does not commute the loop vectorizer incorrectly vectorizes
reductions such as x = A[i] - x.

Disabling for now.

llvm-svn: 171537
2013-01-04 22:10:16 +00:00
Nadav Rotem e1d5c4b8b9 LoopVectorizer:
1. Add code to estimate register pressure.
2. Add code to select the unroll factor based on register pressure.
3. Add bits to TargetTransformInfo to provide the number of registers.

llvm-svn: 171469
2013-01-04 17:48:25 +00:00
Nadav Rotem 3f7c4f36ba LoopVectorizer: Optimize the vectorization of consecutive memory access when the iteration step is -1
llvm-svn: 171114
2012-12-26 19:08:17 +00:00
Nadav Rotem e266efb70b Loop Vectorize: optimize the vectorization of trunc(induction_var). The truncation is now done on scalars.
llvm-svn: 169904
2012-12-11 18:58:10 +00:00
Nadav Rotem 7b5b55c195 Add support for reverse induction variables. For example:
while (i--)
 sum+=A[i];

llvm-svn: 169752
2012-12-10 19:25:06 +00:00
Nadav Rotem c3c07e62e8 LoopVectorizer: Add initial support for pointer induction variables (for example: *dst++ = *src++).
At the moment we still require to have an integer induction variable (for example: i++).

llvm-svn: 168231
2012-11-17 00:27:03 +00:00
Duncan Sands e6beec6765 Relax the restrictions on vector of pointer types, and vector getelementptr.
Previously in a vector of pointers, the pointer couldn't be any pointer type,
it had to be a pointer to an integer or floating point type.  This is a hassle
for dragonegg because the GCC vectorizer happily produces vectors of pointers
where the pointer is a pointer to a struct or whatever.  Vector getelementptr
was restricted to just one index, but now that vectors of pointers can have
any pointer type it is more natural to allow arbitrary vector getelementptrs.
There is however the issue of struct GEPs, where if each lane chose different
struct fields then from that point on each lane will be working down into
unrelated types.  This seems like too much pain for too little gain, so when
you have a vector struct index all the elements are required to be the same.

llvm-svn: 167828
2012-11-13 12:59:33 +00:00
Nadav Rotem 4cb8cdab5e LoopVectorize: Preserve NSW, NUW and IsExact flags.
llvm-svn: 167174
2012-10-31 21:40:39 +00:00
Nadav Rotem a721b21c64 LoopVectorizer: Add a basic cost model which uses the VTTI interface.
llvm-svn: 166620
2012-10-24 20:36:32 +00:00
Nadav Rotem 4f7f72702b Vectorizer: Add support for loop reductions.
For example:

  for (i=0; i<n; i++)
   sum += A[i] +  B[i] + i;

llvm-svn: 166351
2012-10-19 23:05:40 +00:00
Nadav Rotem b52f717411 Vectorizer: Add support for loops with an unknown count. For example:
for (i=0; i<n; i++){
        a[i] = b[i+1] + c[i+3];
     }

llvm-svn: 166165
2012-10-18 05:29:12 +00:00
Nadav Rotem 6b94c2a09b Add a loop vectorizer.
llvm-svn: 166112
2012-10-17 18:25:06 +00:00