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7 Commits

Author SHA1 Message Date
Craig Topper ddfe69cc99 [X86] Rewrite the add/mul/or/and reduction intrinsics to make better use of other intrinsics and remove undef shuffle indices. 
Similar to what was done to max/min recently.

These already reduced the vector width to 256 and 128 bit as we go unlike the original max/min code.

Differential Revision: https://reviews.llvm.org/D48346

llvm-svn: 335253
 2018-06-21 16:41:28 +00:00
Michael Zuckerman d343697f1e Fixing "type" issue for (epi32) 
and replaceing hardcoded inf with clang builtin inf "__builtin_inff()" for float ({max|min}_{pd|ps})

llvm-svn: 285519
 2016-10-30 14:54:05 +00:00
Michael Zuckerman 22a03e435a Fixing small problem with avx512-reduceIntrin.c test on some OS. 
llvm-svn: 285419
 2016-10-28 17:25:26 +00:00
Michael Zuckerman edd99eb07a 1. Fixing small types issue (PD|PS) (reduce) . 
2. Cosmetic changes

llvm-svn: 285405
 2016-10-28 15:16:03 +00:00
Michael Zuckerman facb37cabf [X86][AVX512][Clang][Intrinsics][reduce] Adding missing reduce (Operators: +,*,&&,||) intrinsics to Clang 
Committed after LGTM and check-all

 
Vector-reduction arithmetic accepts vectors as inputs and produces scalars as outputs.
This class of vector operation forms the basis of many scientific computations.
In vector-reduction arithmetic, the evaluation off is independent of the order of the input elements of V.
 
Used bisection method. At each step, we partition the vector with previous
step in half, and the operation is performed on its two halves.
This takes log2(n) steps where n is the number of elements in the vector.
 
Reviwer: 1. igorb
         2. craig.topper    
Differential Revision: https://reviews.llvm.org/D25527

llvm-svn: 285054
 2016-10-25 07:56:04 +00:00
Michael Zuckerman 33bd5b235b revert r284963 
because new test file is failing in some OS.
test/CodeGen/avx512-reduceIntrin.c

llvm-svn: 284967
 2016-10-24 11:30:23 +00:00
Michael Zuckerman 98cb041891 [X86][AVX512][Clang][Intrinsics][reduce] Adding missing reduce (Operators: +,*,&&,||) intrinsics to Clang 
Committed after LGTM and check-all

Vector-reduction arithmetic accepts vectors as inputs and produces scalars as outputs.
This class of vector operation forms the basis of many scientific computations.
In vector-reduction arithmetic, the evaluation off is independent of the order of the input elements of V.

Used bisection method. At each step, we partition the vector with previous
step in half, and the operation is performed on its two halves.
This takes log2(n) steps where n is the number of elements in the vector.

Differential Revision: https://reviews.llvm.org/D25527

llvm-svn: 284963
 2016-10-24 10:53:20 +00:00