History log of /external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
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cd81d94322a39503e4a3e87b6ee03d4fcb3465fb 21-Jul-2014 Stephen Hines <srhines@google.com> Update LLVM for rebase to r212749.

Includes a cherry-pick of:
r212948 - fixes a small issue with atomic calls

Change-Id: Ib97bd980b59f18142a69506400911a6009d9df18
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
dce4a407a24b04eebc6a376f8e62b41aaa7b071f 29-May-2014 Stephen Hines <srhines@google.com> Update LLVM for 3.5 rebase (r209712).

Change-Id: I149556c940fb7dc92d075273c87ff584f400941f
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
36b56886974eae4f9c5ebc96befd3e7bfe5de338 24-Apr-2014 Stephen Hines <srhines@google.com> Update to LLVM 3.5a.

Change-Id: Ifadecab779f128e62e430c2b4f6ddd84953ed617
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
bb41c75ab51fcfc3ad36d3f8a438652b141e0fc0 23-Oct-2013 Benjamin Kramer <benny.kra@googlemail.com> X86: Custom lower sext v16i8 to v16i16, and the corresponding truncate.

Also update the cost model.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@193270 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
cdfb43f0a68274f40340af73218699265466c074 19-Sep-2013 Yi Jiang <yjiang@apple.com> X86 horizontal vector reduction cost model

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@191021 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
89bf2e163c72ec8668905cc61da5b20856f61070 08-Sep-2013 Craig Topper <craig.topper@gmail.com> Using popcount should check the popcount feature flag not the SSE41 feature flag.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@190258 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
fc6434a73d053c3e1d9c79034a267ae1434483ad 09-Aug-2013 Benjamin Kramer <benny.kra@googlemail.com> Add a overload to CostTable which allows it to infer the size of the table.

Use it to avoid repeating ourselves too often. Also store MVT::SimpleValueType
in the TTI tables so they can be statically initialized, MVT's constructors
create bloated initialization code otherwise.

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/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
7251a75f6ee9ce38263be6580a235187475458ed 12-Jul-2013 Arnold Schwaighofer <aschwaighofer@apple.com> X86 cost model: Add cost for vectorized gather/scather

radar://14351991

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/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
e6dc376eece3e48d7316b788846dac90181d2ffe 27-Jun-2013 Nadav Rotem <nrotem@apple.com> Get rid of the unused class member.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@185086 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
16d36a5cd1a581dfac79a4616b6b9602a43b6cd1 27-Jun-2013 Nadav Rotem <nrotem@apple.com> CostModel: improve the cost model for load/store of non power-of-two types such as <3 x float>, which are popular in graphics.


git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@185085 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
34eb2406b41854fc8df688fca7c0129f77d768f7 25-Jun-2013 Arnold Schwaighofer <aschwaighofer@apple.com> X86 cost model: Vectorizing integer division is a bad idea

radar://14057959

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/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
ef2d9e31940fc3121646e15effdfcc8f7f5e239b 18-Jun-2013 Nadav Rotem <nrotem@apple.com> Fix 80 col violation.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@184228 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
9c63f0d687cf1130ee2e76a6fdc87d71ae9d3961 17-Apr-2013 Arnold Schwaighofer <aschwaighofer@apple.com> X86 cost model: Exit before calling getSimpleVT on non-simple VTs

getSimpleVT can only handle simple value types.

radar://13676022

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/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
813456527e73f0c1468514c523c6258d360bcd91 08-Apr-2013 Arnold Schwaighofer <aschwaighofer@apple.com> X86 cost model: Model cost for uitofp and sitofp on SSE2

The costs are overfitted so that I can still use the legalization factor.

For example the following kernel has about half the throughput vectorized than
unvectorized when compiled with SSE2. Before this patch we would vectorize it.

unsigned short A[1024];
double B[1024];
void f() {
int i;
for (i = 0; i < 1024; ++i) {
B[i] = (double) A[i];
}
}

radar://13599001

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/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
2537f3c6597bc1b8eb14c76c8f8e7046be41c9ba 05-Apr-2013 Arnold Schwaighofer <aschwaighofer@apple.com> X86 cost model: Differentiate cost for vector shifts of constants

SSE2 has efficient support for shifts by a scalar. My previous change of making
shifts expensive did not take this into account marking all shifts as expensive.
This would prevent vectorization from happening where it is actually beneficial.

With this change we differentiate between shifts of constants and other shifts.

radar://13576547

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@178808 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
6bf4f676413b8f7d97aaff289997aab344180957 05-Apr-2013 Arnold Schwaighofer <aschwaighofer@apple.com> CostModel: Add parameter to instruction cost to further classify operand values

On certain architectures we can support efficient vectorized version of
instructions if the operand value is uniform (splat) or a constant scalar.
An example of this is a vector shift on x86.

We can efficiently support

for (i = 0 ; i < ; i += 4)
w[0:3] = v[0:3] << <2, 2, 2, 2>

but not

for (i = 0; i < ; i += 4)
w[0:3] = v[0:3] << x[0:3]

This patch adds a parameter to getArithmeticInstrCost to further qualify operand
values as uniform or uniform constant.

Targets can then choose to return a different cost for instructions with such
operand values.

A follow-up commit will test this feature on x86.

radar://13576547

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@178807 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
6b6050b229976a2f53184f6d6857e6f445a869d0 03-Apr-2013 Arnold Schwaighofer <aschwaighofer@apple.com> X86 cost model: Vector shifts are expensive in most cases

The default logic does not correctly identify costs of casts because they are
marked as custom on x86.

For some cases, where the shift amount is a scalar we would be able to generate
better code. Unfortunately, when this is the case the value (the splat) will get
hoisted out of the loop, thereby making it invisible to ISel.

radar://13130673
radar://13537826

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@178703 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
13497b3aa7589fc4f9e924f850a7e5151e9ddd2f 01-Apr-2013 Benjamin Kramer <benny.kra@googlemail.com> X86TTI: Add accurate costs for itofp operations, based on the actual instruction counts.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@178459 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
f74e9bf650d7c40d595d3bb60e3c901e2bccec4b 20-Mar-2013 Michael Liao <michael.liao@intel.com> Correct cost model for vector shift on AVX2

- After moving logic recognizing vector shift with scalar amount from
DAG combining into DAG lowering, we declare to customize all vector
shifts even vector shift on AVX is legal. As a result, the cost model
needs special tuning to identify these legal cases.



git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@177586 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
b05130e1b20ed17ae9d5ab3351933babd27213e1 19-Mar-2013 Nadav Rotem <nrotem@apple.com> Optimize sext <4 x i8> and <4 x i16> to <4 x i64>.
Patch by Ahmad, Muhammad T <muhammad.t.ahmad@intel.com>



git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@177421 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
5f0d9dbdf48a9efe16bfadf88e5335f7b9a8ec3f 02-Mar-2013 Arnold Schwaighofer <aschwaighofer@apple.com> X86 cost model: Adjust cost for custom lowered vector multiplies

This matters for example in following matrix multiply:

int **mmult(int rows, int cols, int **m1, int **m2, int **m3) {
int i, j, k, val;
for (i=0; i<rows; i++) {
for (j=0; j<cols; j++) {
val = 0;
for (k=0; k<cols; k++) {
val += m1[i][k] * m2[k][j];
}
m3[i][j] = val;
}
}
return(m3);
}

Taken from the test-suite benchmark Shootout.

We estimate the cost of the multiply to be 2 while we generate 9 instructions
for it and end up being quite a bit slower than the scalar version (48% on my
machine).

Also, properly differentiate between avx1 and avx2. On avx-1 we still split the
vector into 2 128bits and handle the subvector muls like above with 9
instructions.
Only on avx-2 will we have a cost of 9 for v4i64.

I changed the test case in test/Transforms/LoopVectorize/X86/avx1.ll to use an
add instead of a mul because with a mul we now no longer vectorize. I did
verify that the mul would be indeed more expensive when vectorized with 3
kernels:

for (i ...)
r += a[i] * 3;
for (i ...)
m1[i] = m1[i] * 3; // This matches the test case in avx1.ll
and a matrix multiply.

In each case the vectorized version was considerably slower.

radar://13304919

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@176403 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
52981c4b6016d9f0e295e0771ec0a50dd073b4b3 20-Feb-2013 Elena Demikhovsky <elena.demikhovsky@intel.com> I optimized the following patterns:
sext <4 x i1> to <4 x i64>
sext <4 x i8> to <4 x i64>
sext <4 x i16> to <4 x i64>

I'm running Combine on SIGN_EXTEND_IN_REG and revert SEXT patterns:
(sext_in_reg (v4i64 anyext (v4i32 x )), ExtraVT) -> (v4i64 sext (v4i32 sext_in_reg (v4i32 x , ExtraVT)))

The sext_in_reg (v4i32 x) may be lowered to shl+sar operations.
The "sar" does not exist on 64-bit operation, so lowering sext_in_reg (v4i64 x) has no vector solution.

I also added a cost of this operations to the AVX costs table.


git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@175619 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
b3755e7fa2e386e9bd348eda6b1876ae09c1bf99 25-Jan-2013 Renato Golin <renato.golin@linaro.org> Moving Cost Tables up to share with other targets

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@173382 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
053a2119835ac6ca3484f1b496cabd43c37e4279 20-Jan-2013 Renato Golin <renato.golin@linaro.org> Revert CostTable algorithm, will re-write

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@172992 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
d3c965d6251e6d939f7797f8704d4e3a82f7e274 16-Jan-2013 Renato Golin <renato.golin@linaro.org> Change CostTable model to be global to all targets

Moving the X86CostTable to a common place, so that other back-ends
can share the code. Also simplifying it a bit and commoning up
tables with one and two types on operations.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@172658 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
14925e6b885f8bd8cf448627386d412831f4bf1b 09-Jan-2013 Nadav Rotem <nrotem@apple.com> ARM Cost model: Use the size of vector registers and widest vectorizable instruction to determine the max vectorization factor.



git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@172010 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
83be7b0dd3ae9a3cb22d36ae4c1775972553b94b 09-Jan-2013 Nadav Rotem <nrotem@apple.com> Cost Model: Move the 'max unroll factor' variable to the TTI and add initial Cost Model support on ARM.



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/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
bb00800ff46e7a2a628d0a6741a7f0422c74c198 07-Jan-2013 Chandler Carruth <chandlerc@gmail.com> Fix the enumerator names for ShuffleKind to match tho coding standards,
and make its comments doxygen comments.

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/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
d1b8ef97c47d347f2a2261a0d6de4872f248321f 07-Jan-2013 Chandler Carruth <chandlerc@gmail.com> Make the popcnt support enums and methods have more clear names and
follow the conding conventions regarding enumerating a set of "kinds" of
things.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@171687 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
be04929f7fd76a921540e9901f24563e51dc1219 07-Jan-2013 Chandler Carruth <chandlerc@gmail.com> Move TargetTransformInfo to live under the Analysis library. This no
longer would violate any dependency layering and it is in fact an
analysis. =]

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@171686 91177308-0d34-0410-b5e6-96231b3b80d8
/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp
aeef83c6afa1e18d1cf9d359cc678ca0ad556175 07-Jan-2013 Chandler Carruth <chandlerc@gmail.com> Switch TargetTransformInfo from an immutable analysis pass that requires
a TargetMachine to construct (and thus isn't always available), to an
analysis group that supports layered implementations much like
AliasAnalysis does. This is a pretty massive change, with a few parts
that I was unable to easily separate (sorry), so I'll walk through it.

The first step of this conversion was to make TargetTransformInfo an
analysis group, and to sink the nonce implementations in
ScalarTargetTransformInfo and VectorTargetTranformInfo into
a NoTargetTransformInfo pass. This allows other passes to add a hard
requirement on TTI, and assume they will always get at least on
implementation.

The TargetTransformInfo analysis group leverages the delegation chaining
trick that AliasAnalysis uses, where the base class for the analysis
group delegates to the previous analysis *pass*, allowing all but tho
NoFoo analysis passes to only implement the parts of the interfaces they
support. It also introduces a new trick where each pass in the group
retains a pointer to the top-most pass that has been initialized. This
allows passes to implement one API in terms of another API and benefit
when some other pass above them in the stack has more precise results
for the second API.

The second step of this conversion is to create a pass that implements
the TargetTransformInfo analysis using the target-independent
abstractions in the code generator. This replaces the
ScalarTargetTransformImpl and VectorTargetTransformImpl classes in
lib/Target with a single pass in lib/CodeGen called
BasicTargetTransformInfo. This class actually provides most of the TTI
functionality, basing it upon the TargetLowering abstraction and other
information in the target independent code generator.

The third step of the conversion adds support to all TargetMachines to
register custom analysis passes. This allows building those passes with
access to TargetLowering or other target-specific classes, and it also
allows each target to customize the set of analysis passes desired in
the pass manager. The baseline LLVMTargetMachine implements this
interface to add the BasicTTI pass to the pass manager, and all of the
tools that want to support target-aware TTI passes call this routine on
whatever target machine they end up with to add the appropriate passes.

The fourth step of the conversion created target-specific TTI analysis
passes for the X86 and ARM backends. These passes contain the custom
logic that was previously in their extensions of the
ScalarTargetTransformInfo and VectorTargetTransformInfo interfaces.
I separated them into their own file, as now all of the interface bits
are private and they just expose a function to create the pass itself.
Then I extended these target machines to set up a custom set of analysis
passes, first adding BasicTTI as a fallback, and then adding their
customized TTI implementations.

The fourth step required logic that was shared between the target
independent layer and the specific targets to move to a different
interface, as they no longer derive from each other. As a consequence,
a helper functions were added to TargetLowering representing the common
logic needed both in the target implementation and the codegen
implementation of the TTI pass. While technically this is the only
change that could have been committed separately, it would have been
a nightmare to extract.

The final step of the conversion was just to delete all the old
boilerplate. This got rid of the ScalarTargetTransformInfo and
VectorTargetTransformInfo classes, all of the support in all of the
targets for producing instances of them, and all of the support in the
tools for manually constructing a pass based around them.

Now that TTI is a relatively normal analysis group, two things become
straightforward. First, we can sink it into lib/Analysis which is a more
natural layer for it to live. Second, clients of this interface can
depend on it *always* being available which will simplify their code and
behavior. These (and other) simplifications will follow in subsequent
commits, this one is clearly big enough.

Finally, I'm very aware that much of the comments and documentation
needs to be updated. As soon as I had this working, and plausibly well
commented, I wanted to get it committed and in front of the build bots.
I'll be doing a few passes over documentation later if it sticks.

Commits to update DragonEgg and Clang will be made presently.

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/external/llvm/lib/Target/X86/X86TargetTransformInfo.cpp