1581 Commits

Author SHA1 Message Date
Hal Finkel
39a95032d2 BBVectorize: Omit unnecessary entries in PairableInstUsers
This map is queried only for instructions in pairs of pairable
instructions; so make sure that only pairs of pairable
instructions are added to the map. This gives a 3.5% speedup
on the csa.ll test case from PR15222.

No functionality change intended.

llvm-svn: 174914
2013-02-11 23:02:09 +00:00
Hal Finkel
0b8ae895b4 BBVectorize: Eliminate one more restricted linear search
This eliminates one more linear search over a range of
std::multimap entries. This gives a 22% speedup on the
csa.ll test case from PR15222.

No functionality change intended.

llvm-svn: 174893
2013-02-11 17:19:34 +00:00
Hal Finkel
cb268f7995 BBVectorize: Remove the linear searches from pair connection searching
This removes the last of the linear searches over ranges of std::multimap
iterators, giving a 7% speedup on the doduc.bc input from PR15222.

No functionality change intended.

llvm-svn: 174859
2013-02-11 05:29:51 +00:00
Hal Finkel
fee38f9754 BBVectorize: Avoid linear searches within the load-move set
This is another cleanup aimed at eliminating linear searches
in ranges of std::multimap.

No functionality change intended.

llvm-svn: 174858
2013-02-11 05:29:49 +00:00
Hal Finkel
dd4bc66593 BBVectorize: isa/cast cleanup in getInstructionTypes
Profiling suggests that getInstructionTypes is performance-sensitive,
this cleans up some double-casting in that function in favor of
using dyn_cast.

No functionality change intended.

llvm-svn: 174857
2013-02-11 05:29:48 +00:00
Hal Finkel
c1cc166948 BBVectorize: Make the bookkeeping to support full cycle checking less expensive
By itself, this does not have much of an effect, but only because in the default
configuration the full cycle checks are used only for small problem sizes.
This is part of a general cleanup of uses of iteration over std::multimap
ranges only for the purpose of checking membership.

No functionality change intended.

llvm-svn: 174856
2013-02-11 05:29:41 +00:00
Hal Finkel
dd2721842d BBVectorize: Use TTI->getAddressComputationCost
This is a follow-up to the cost-model change in r174713 which splits
the cost of a memory operation between the address computation and the
actual memory access. In r174713, this cost is always added to the
memory operation cost, and so BBVectorize will do the same.

Currently, this new cost function is used only by ARM, and I don't
have any ARM test cases for BBVectorize. Assistance in generating some
good ARM test cases for BBVectorize would be greatly appreciated!

llvm-svn: 174743
2013-02-08 21:13:39 +00:00
Jakob Stoklund Olesen
479e5a9313 Typos.
llvm-svn: 174723
2013-02-08 17:43:32 +00:00
Arnold Schwaighofer
594fa2dc2b ARM cost model: Address computation in vector mem ops not free
Adds a function to target transform info to query for the cost of address
computation. The cost model analysis pass now also queries this interface.
The code in LoopVectorize adds the cost of address computation as part of the
memory instruction cost calculation. Only there, we know whether the instruction
will be scalarized or not.
Increase the penality for inserting in to D registers on swift. This becomes
necessary because we now always assume that address computation has a cost and
three is a closer value to the architecture.

radar://13097204

llvm-svn: 174713
2013-02-08 14:50:48 +00:00
Michael Kuperstein
f63b77be7f Test Commit
llvm-svn: 174709
2013-02-08 12:58:29 +00:00
Nadav Rotem
a9100f3609 fix 80-col violation and fix the docs.
llvm-svn: 174671
2013-02-07 22:34:07 +00:00
Arnold Schwaighofer
3476fc8c82 Loop Vectorizer: Refactor Memory Cost Computation
We don't want too many classes in a pass and the classes obscure the details. I
was going a little overboard with object modeling here. Replace classes by
generic code that handles both loads and stores.

No functionality change intended.

llvm-svn: 174646
2013-02-07 19:05:21 +00:00
Arnold Schwaighofer
3be40b56c5 Loop Vectorizer: Refactor code to compute vectorized memory instruction cost
Introduce a helper class that computes the cost of memory access instructions.
No functionality change intended.

llvm-svn: 174422
2013-02-05 18:46:41 +00:00
Arnold Schwaighofer
22174f5d5a Loop Vectorizer: Handle pointer stores/loads in getWidestType()
In the loop vectorizer cost model, we used to ignore stores/loads of a pointer
type when computing the widest type within a loop. This meant that if we had
only stores/loads of pointers in a loop we would return a widest type of 8bits
(instead of 32 or 64 bit) and therefore a vector factor that was too big.

Now, if we see a consecutive store/load of pointers we use the size of a pointer
(from data layout).

This problem occured in SingleSource/Benchmarks/Shootout-C++/hash.cpp (reduced
test case is the first test in vector_ptr_load_store.ll).

radar://13139343

llvm-svn: 174377
2013-02-05 15:08:02 +00:00
Pekka Jaaskelainen
f50ab84bb1 LoopVectorize: convert TinyTripCountVectorThreshold constant
to a command line switch.

llvm-svn: 173837
2013-01-29 21:42:08 +00:00
Benjamin Kramer
cf406756ce LoopVectorize: Clean up ValueMap a bit and avoid double lookups.
No intended functionality change.

llvm-svn: 173809
2013-01-29 17:31:33 +00:00
Renato Golin
1258519674 Vectorization Factor clarification
llvm-svn: 173691
2013-01-28 16:02:45 +00:00
Hal Finkel
293a41d14f BBVectorize: Better use of TTI->getShuffleCost
When flipping the pair of subvectors that form a vector, if the
vector length is 2, we can use the SK_Reverse shuffle kind to get
more-accurate cost information. Also we can use the SK_ExtractSubvector
shuffle kind to get accurate subvector extraction costs.

The current cost model implementations don't yet seem complex enough
for this to make a difference (thus, there are no test cases with this
commit), but it should help in future.

Depending on how the various targets optimize and combine shuffles in
practice, we might be able to get more-accurate costs by combining the
costs of multiple shuffle kinds. For example, the cost of flipping the
subvector pairs could be modeled as two extractions and two subvector
insertions. These changes, however, should probably be motivated
by specific test cases.

llvm-svn: 173621
2013-01-27 20:07:01 +00:00
Hal Finkel
2d443e94b4 BBVectorize: Add a additional comment about the cost computation
llvm-svn: 173580
2013-01-26 16:49:04 +00:00
Hal Finkel
351a75b6d7 BBVectorize: Fix anomalous capital letter in comment
llvm-svn: 173579
2013-01-26 16:49:03 +00:00
Nadav Rotem
69a040d3eb LoopVectorize: Refactor the code that vectorizes loads/stores to remove duplication.
llvm-svn: 173500
2013-01-25 21:47:42 +00:00
Benjamin Kramer
21e8da5990 LoopVectorize: Simplify code. No functionality change.
llvm-svn: 173475
2013-01-25 19:43:15 +00:00
Nadav Rotem
8e9ca2f8cb LoopVectorizer: Refactor more code to use the IRBuilder.
llvm-svn: 173471
2013-01-25 19:26:23 +00:00
Nadav Rotem
c8adf3ff6e Refactor some code to use the IRBuilder.
llvm-svn: 173467
2013-01-25 18:34:09 +00:00
Nadav Rotem
ab3e698ee9 Add support for reverse pointer induction variables. These are loops that contain pointers that count backwards.
For example, this is the hot loop in BZIP:

  do {
    m = *--p;
    *p = ( ... );
  } while (--n);

llvm-svn: 173219
2013-01-23 01:35:00 +00:00
Nadav Rotem
b2e7e7a0b6 Fix a comment. Induction vars dont need to start at zero.
llvm-svn: 173061
2013-01-21 17:59:18 +00:00
Benjamin Kramer
a6e2e2a0a7 LoopVectorize: Fix a C++11 incompatibility.
llvm-svn: 172990
2013-01-20 20:29:52 +00:00
Nadav Rotem
da9f2adffd Fix a build error.
llvm-svn: 172971
2013-01-20 09:39:17 +00:00
Nadav Rotem
c42f90b1f4 LoopVectorizer: Implement a new heuristics for selecting the unroll factor.
We ignore the cpu frontend and focus on pipeline utilization. We do this because we
don't have a good way to estimate the loop body size at the IR level.

llvm-svn: 172964
2013-01-20 05:24:29 +00:00
Benjamin Kramer
d455ed85d1 LoopVectorizer: Emit memory checks into their own basic block.
This separates the check for "too few elements to run the vector loop" from the
"memory overlap" check, giving a lot nicer code and allowing to skip the memory
checks when we're not going to execute the vector code anyways. We still leave
the decision of whether to emit the memory checks as branches or setccs, but it
seems to be doing a good job. If ugly code pops up we may want to emit them as
separate blocks too. Small speedup on MultiSource/Benchmarks/MallocBench/espresso.

Most of this is legwork to allow multiple bypass blocks while updating PHIs,
dominators and loop info.

llvm-svn: 172902
2013-01-19 13:57:58 +00:00
Nadav Rotem
d33ce6f100 LoopVectorizer cost model. Honor the user command line flag that selects the vectorization factor even if the target machine does not have any vector registers.
llvm-svn: 172544
2013-01-15 18:25:16 +00:00
Nadav Rotem
40e45eeae2 Fix PR14547. Handle induction variables of small sizes smaller than i32 (i8 and i16).
llvm-svn: 172348
2013-01-13 07:56:29 +00:00
Nadav Rotem
853fe0acb9 ARM Cost Model: We need to detect the max bitwidth of types in the loop in order to select the max vectorization factor.
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.

llvm-svn: 172178
2013-01-11 07:11:59 +00:00
Nadav Rotem
6eae65cfac LoopVectorizer: Fix a bug in the vectorization of BinaryOperators. The BinaryOperator can be folded to an Undef, and we don't want to set NSW flags to undef vals.
PR14878

llvm-svn: 172079
2013-01-10 17:34:39 +00:00
Nadav Rotem
b1791a75cd ARM Cost model: Use the size of vector registers and widest vectorizable instruction to determine the max vectorization factor.
llvm-svn: 172010
2013-01-09 22:29:00 +00:00
Nadav Rotem
b696c36fcd Cost Model: Move the 'max unroll factor' variable to the TTI and add initial Cost Model support on ARM.
llvm-svn: 171928
2013-01-09 01:15:42 +00:00
Nadav Rotem
3c352c0f4a Code cleanup: refactor the switch statements in the generation of reduction variables into an IR builder call.
llvm-svn: 171871
2013-01-08 17:37:45 +00:00
Nadav Rotem
6f6d21a17b Rename the enum members to match the LLVM coding style.
llvm-svn: 171868
2013-01-08 17:23:17 +00:00
Nadav Rotem
5a197c06f3 LoopVectorizer: Add support for floating point reductions
llvm-svn: 171812
2013-01-07 23:13:00 +00:00
Nadav Rotem
c60d7d96f5 LoopVectorizer: When we vectorizer and widen loops we process many elements at once. This is a good thing, except for
small loops. On small loops post-loop that handles scalars (and runs slower) can take more time to execute than the
rest of the loop. This patch disables widening of loops with a small static trip count.

llvm-svn: 171798
2013-01-07 21:54:51 +00:00
Chandler Carruth
b348328b5d Simplify LoopVectorize to require target transform info and rely on it
being present. Make a member of one of the helper classes a reference as
part of this.

Reformatting goodness brought to you by clang-format.

llvm-svn: 171726
2013-01-07 11:12:29 +00:00
Chandler Carruth
b7e60f6844 Merge the unused header file for LoopVectorizer into the source file.
This makes the loop vectorizer match the pattern followed by roughly all
other passses. =]

Notably, this header file was braken in several regards: it contained
a using namespace directive, global #define's that aren't globaly
appropriate, and global constants defined directly in the header file.

As a side benefit, lots of the types in this file become internal, which
will cause the optimizer to chew on this pass more effectively.

llvm-svn: 171723
2013-01-07 10:44:06 +00:00
Chandler Carruth
7383bfd67e Switch BBVectorize to directly depend on having a TTI analysis.
This could be simplified further, but Hal has a specific feature for
ignoring TTI, and so I preserved that.

Also, I needed to use it because a number of tests fail when switching
from a null TTI to the NoTTI nonce implementation. That seems suspicious
to me and so may be something that you need to look into Hal. I worked
it by preserving the old behavior for these tests with the flag that
ignores all target info.

llvm-svn: 171722
2013-01-07 10:22:36 +00:00
Chandler Carruth
04ece8623e Fix a slew of indentation and parameter naming style issues. This 80% of
this patch brought to you by the tool clang-format.

I wanted to fix up the names of constructor parameters because they
followed a bit of an anti-pattern by naming initialisms with CamelCase:
'Tti', 'Se', etc. This appears to have been in an attempt to not overlap
with the names of member variables 'TTI', 'SE', etc. However,
constructor arguments can very safely alias members, and in fact that's
the conventional way to pass in members. I've fixed all of these I saw,
along with making some strang abbreviations such as 'Lp' be simpler 'L',
or 'Lgl' be the word 'Legal'.

However, the code I was touching had indentation and formatting somewhat
all over the map. So I ran clang-format and fixed them.

I also fixed a few other formatting or doxygen formatting issues such as
using ///< on trailing comments so they are associated with the correct
entry.

There is still a lot of room for improvement of the formating and
cleanliness of this code. ;] At least a few parts of the coding
standards or common practices in LLVM's code aren't followed, the enum
naming rules jumped out at me. I may mix some of these while I'm here,
but not all of them.

llvm-svn: 171719
2013-01-07 09:57:00 +00:00
Chandler Carruth
2109f47d97 Fix the enumerator names for ShuffleKind to match tho coding standards,
and make its comments doxygen comments.

llvm-svn: 171688
2013-01-07 03:20:02 +00:00
Chandler Carruth
d3e73556d6 Move TargetTransformInfo to live under the Analysis library. This no
longer would violate any dependency layering and it is in fact an
analysis. =]

llvm-svn: 171686
2013-01-07 03:08:10 +00:00
Chandler Carruth
21b3c586ab Switch the loop vectorizer from VTTI to just use TTI directly.
llvm-svn: 171620
2013-01-05 10:16:02 +00:00
Chandler Carruth
7c4f91dea5 Switch the BB vectorizer from the VTTI interface to the simple TTI
interface.

llvm-svn: 171618
2013-01-05 10:05:28 +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
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