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author | David Sherwood <david.sherwood@arm.com> | 2025-07-02 13:05:51 +0100 |
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committer | GitHub <noreply@github.com> | 2025-07-02 13:05:51 +0100 |
commit | f575b18fdc8359bddc8747dbb8b16e5d10705dda (patch) | |
tree | 76ec7a8d04d3a29b6565921e812c09841532ec5e /clang/lib/Basic/SourceManager.cpp | |
parent | dea4f3213d84507ca9741faccab789f48c44e00d (diff) | |
download | llvm-f575b18fdc8359bddc8747dbb8b16e5d10705dda.zip llvm-f575b18fdc8359bddc8747dbb8b16e5d10705dda.tar.gz llvm-f575b18fdc8359bddc8747dbb8b16e5d10705dda.tar.bz2 |
[LV] Add support for partial reductions without a binary op (#133922)
Consider IR such as this:
for.body:
%iv = phi i64 [ 0, %entry ], [ %iv.next, %for.body ]
%accum = phi i32 [ 0, %entry ], [ %add, %for.body ]
%gep.a = getelementptr i8, ptr %a, i64 %iv
%load.a = load i8, ptr %gep.a, align 1
%ext.a = zext i8 %load.a to i32
%add = add i32 %ext.a, %accum
%iv.next = add i64 %iv, 1
%exitcond.not = icmp eq i64 %iv.next, 1025
br i1 %exitcond.not, label %for.exit, label %for.body
Conceptually we can vectorise this using partial reductions too,
although the current loop vectoriser implementation requires the
accumulation of a multiply. For AArch64 this is easily done with
a udot or sdot with an identity operand, i.e. a vector of (i16 1).
In order to do this I had to teach getScaledReductions that the
accumulated value may come from a unary op, hence there is only
one extension to consider. Similarly, I updated the vplan and
AArch64 TTI cost model to understand the possible unary op.
---------
Co-authored-by: Matt Devereau <matthew.devereau@arm.com>
Diffstat (limited to 'clang/lib/Basic/SourceManager.cpp')
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