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Author SHA1 Message Date
Arnold Schwaighofer 3610139ac5 LoopVectorizer: Improve reduction variable identification 
The two nested loops were confusing and also conservative in identifying
reduction variables. This patch replaces them by a worklist based approach.

llvm-svn: 181369
 2013-05-07 21:55:37 +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 f19d515316 Fix a typo. Remove the duplicated test. 
llvm-svn: 171584
 2013-01-05 01:17:46 +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
Benjamin Kramer f0e5d2f032 LoopVectorize: Emit reductions as log2(vectorsize) shuffles + vector ops instead of scalar operations. 
For example on x86 with SSE4.2 a <8 x i8> add reduction becomes
	movdqa	%xmm0, %xmm1
	movhlps	%xmm1, %xmm1            ## xmm1 = xmm1[1,1]
	paddw	%xmm0, %xmm1
	pshufd	$1, %xmm1, %xmm0        ## xmm0 = xmm1[1,0,0,0]
	paddw	%xmm1, %xmm0
	phaddw	%xmm0, %xmm0
	pextrb	$0, %xmm0, %edx

instead of
	pextrb	$2, %xmm0, %esi
	pextrb	$0, %xmm0, %edx
	addb	%sil, %dl
	pextrb	$4, %xmm0, %esi
	addb	%dl, %sil
	pextrb	$6, %xmm0, %edx
	addb	%sil, %dl
	pextrb	$8, %xmm0, %esi
	addb	%dl, %sil
	pextrb	$10, %xmm0, %edi
	pextrb	$14, %xmm0, %edx
	addb	%sil, %dil
	pextrb	$12, %xmm0, %esi
	addb	%dil, %sil
	addb	%sil, %dl

llvm-svn: 170439
 2012-12-18 18:40:20 +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 b3e8e688da LoopVectorize: Fix a bug in the initialization of reduction variables. AND needs to start at all-one 
while XOR, and OR need to start at zero.

llvm-svn: 167032
 2012-10-30 18:12:36 +00:00
Nadav Rotem 5ffb049a55 Add support for additional reduction variables: AND, OR, XOR. 
Patch by Paul Redmond <paul.redmond@intel.com>.

llvm-svn: 166649
 2012-10-25 00:08:41 +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 c1679a95b6 Add support for reduction variables that do not start at zero. 
This is important for nested-loop reductions such as :

In the innermost loop, the induction variable does not start with zero:

for (i = 0 .. n)
 for (j = 0 .. m)
  sum += ...

llvm-svn: 166387
 2012-10-21 05:52:51 +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