llvm/test/Transforms/LoopVectorize/ARM, branch stablehttp://llvm.orghttps://git.amat.us/llvm/atom/test/Transforms/LoopVectorize/ARM?h=stable2013-01-29T23:31:38ZAdding simple cast cost to ARM2013-01-29T23:31:38ZRenato Golinrenato.golin@linaro.org2013-01-29T23:31:38Zurn:sha1:0261cea689c71a15175faf37fdc6bd1d9f69c46e
Changing ARMBaseTargetMachine to return ARMTargetLowering intead of
the generic one (similar to x86 code).
Tests showing which instructions were added to cast when necessary
or cost zero when not. Downcast to 16 bits are not lowered in NEON,
so costs are not there yet.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@173849 91177308-0d34-0410-b5e6-96231b3b80d8
ARM Cost Model: Modify the target independent cost model to ask2013-01-11T19:54:13ZNadav Rotemnrotem@apple.com2013-01-11T19:54:13Zurn:sha1:3e40d927a775994d8f4c2d30695be69c248fa16c
the target if it supports the different CAST types. We didn't do this
on X86 because of the different register sizes and types, but on ARM
this makes sense.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@172245 91177308-0d34-0410-b5e6-96231b3b80d8
ARM Cost Model: We need to detect the max bitwidth of types in the loop in order to select the max vectorization factor.2013-01-11T07:11:59ZNadav Rotemnrotem@apple.com2013-01-11T07:11:59Zurn:sha1:a675c74208f77351ea7fa3eed4f542ae781ab566
We don't have a detailed analysis on which values are vectorized and which stay scalars in the vectorized loop so we use
another method. We look at reduction variables, loads and stores, which are the only ways to get information in and out
of loop iterations. If the data types are extended and truncated then the cost model will catch the cost of the vector
zext/sext/trunc operations.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@172178 91177308-0d34-0410-b5e6-96231b3b80d8
ARM Cost model: Use the size of vector registers and widest vectorizable instruction to determine the max vectorization factor.2013-01-09T22:29:00ZNadav Rotemnrotem@apple.com2013-01-09T22:29:00Zurn:sha1:14925e6b885f8bd8cf448627386d412831f4bf1b
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@172010 91177308-0d34-0410-b5e6-96231b3b80d8
ARM Cost Model: Add a basic vectorization unrolling test.2013-01-09T01:29:07ZNadav Rotemnrotem@apple.com2013-01-09T01:29:07Zurn:sha1:df8c22a10427f2831a009b806f7050dff29f60e2
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@171931 91177308-0d34-0410-b5e6-96231b3b80d8
Cost Model: Move the 'max unroll factor' variable to the TTI and add initial Cost Model support on ARM.2013-01-09T01:15:42ZNadav Rotemnrotem@apple.com2013-01-09T01:15:42Zurn:sha1:83be7b0dd3ae9a3cb22d36ae4c1775972553b94b
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@171928 91177308-0d34-0410-b5e6-96231b3b80d8