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runtime. If we cant prove statically that the pointers are disjoint then we add the runtime check.
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reduction variable is not used outside the loop then we ran into an
endless loop. This change checks if we found the original PHI.
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executed due to CF.
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Added the code that actually performs the if-conversion during vectorization.
We can now vectorize this code:
for (int i=0; i<n; ++i) {
unsigned k = 0;
if (a[i] > b[i]) <------ IF inside the loop.
k = k * 5 + 3;
a[i] = k; <---- K is a phi node that becomes vector-select.
}
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"single basic block loop vectorizer" to "innermost loop vectorizer".
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which is the legality of the if-conversion transformation. The next step is to
implement the cost-model for the if-converted code as well as the
vectorization itself.
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Sooooo many of these had incorrect or strange main module includes.
I have manually inspected all of these, and fixed the main module
include to be the nearest plausible thing I could find. If you own or
care about any of these source files, I encourage you to take some time
and check that these edits were sensible. I can't have broken anything
(I strictly added headers, and reordered them, never removed), but they
may not be the headers you'd really like to identify as containing the
API being implemented.
Many forward declarations and missing includes were added to a header
files to allow them to parse cleanly when included first. The main
module rule does in fact have its merits. =]
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run any additional loop passes on the new vector loop.
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in the preheader.
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a reference.
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induction variable.
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example: *dst++ = *src++).
At the moment we still require to have an integer induction variable (for example: i++).
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of the code that deals with divs.
Thanks to Paul Redmond for catching this while reviewing the code.
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If the arrays are found to be disjoint then we run the vectorized version of
the loop. If they are not, we run the scalar code.
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This is important for loops in the LAPACK test-suite.
These loops start at 1 because they are auto-converted from fortran.
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is a single pointer.
Speedup SciMark by 1%
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needs to start at all-one
while XOR, and OR need to start at zero.
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deciding to vectorize. When deciding not to vectorize do not print the called function name because it can be null.
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return the type of the split result.
2. Change the maximum vectorization width from 4 to 8.
3. A test for both.
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@166864 91177308-0d34-0410-b5e6-96231b3b80d8
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Add getCostXXX calls for different families of opcodes, such as casts, arithmetic, cmp, etc.
Port the LoopVectorizer to the new API.
The LoopVectorizer now finds instructions which will remain uniform after vectorization. It uses this information when calculating the cost of these instructions.
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and not vectors of 1.
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Patch by Paul Redmond <paul.redmond@intel.com>.
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command. Bleh, sorry about this!
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and c++ news.
PR14158.
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Fix by Shivarama Rao <Shivarama.Rao@amd.com>
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