[ReleaseNotes] tidy up organization and formatting

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@174587 91177308-0d34-0410-b5e6-96231b3b80d8

diff --git a/docs/ReleaseNotes.rst b/docs/ReleaseNotes.rst
index beb20149114499e47e6844328543b79e11845c94..78ea24e53cdc9522d0253921c4a2b7637e9ac4c0 100644 (file)
--- a/docs/ReleaseNotes.rst
+++ b/docs/ReleaseNotes.rst
@@ -52,27 +52,12 @@ Non-comprehensive list of changes in this release
   easy-to-write reStructuredText. See `llvm/docs/README.txt` for more
   information.
 
- Loop Vectorizer
- ---------------
- We've continued the work on the loop vectorizer. The loop vectorizer now has the following features:
-  # Loops with unknown trip count.
-  # Runtime checks of pointers
-  # Reductions, Inductions
-  # If Conversion
-  # Pointer induction variables
-  # Reverse iterators
-  # Vectorization of mixed types
-  # Vectorization of function calls
-  # Partial unrolling during vectorization
-
-  We've also improved the X86 and ARM cost model.
-
-  TargetTransformInfo
-  -------------------
-  TargetTransformInto (TTI) is a new interface that can be used by IR-level passes
-  to obtain target-specific information, such as the costs of instructions. Only "Lowering"
-  passes such as LSR and the vectorizer are allowed to use the TTI infrastructure.
+* TargetTransformInfo (TTI) is a new interface that can be used by IR-level
+  passes to obtain target-specific information, such as the costs of
+  instructions. Only "Lowering" passes such as LSR and the vectorizer are
+  allowed to use the TTI infrastructure.
 
+* We've improved the X86 and ARM cost model.
 
 * ... next change ...
 
@@ -86,6 +71,24 @@ Non-comprehensive list of changes in this release
 
    Makes programs 10x faster by doing Special New Thing.
 
+Loop Vectorizer
+---------------
+
+We've continued the work on the loop vectorizer. The loop vectorizer now
+has the following features:
+
+- Loops with unknown trip count.
+- Runtime checks of pointers
+- Reductions, Inductions
+- If Conversion
+- Pointer induction variables
+- Reverse iterators
+- Vectorization of mixed types
+- Vectorization of function calls
+- Partial unrolling during vectorization
+
+
+
 Additional Information
 ======================