[llvm-dev] autovectorization of outer loop
Zaks, Ayal via llvm-dev
llvm-dev at lists.llvm.org
Wed May 10 14:17:30 PDT 2017
> help me better understand how autovectorization of outer loops works.
LLVM’s loop vectorizer currently handles innermost loops only.
> I'm hoping for an autovectorization of the outer loop so that the inner loop operates on vectors.
We share that hope and are working to achieve it: http://lists.llvm.org/pipermail/llvm-dev/2016-September/105057.html, but it will take some time. See https://reviews.llvm.org/D28975 and https://reviews.llvm.org/D32871. Thanks for the use-case.
> I was wondering if there are small ways in which I can change my code to help LLVM's autovectorizer to succeed.
If a doubly-nested loop can be interchanged such that the inner loop becomes vectorizable, it may help.
Ayal.
From: llvm-dev [mailto:llvm-dev-bounces at lists.llvm.org] On Behalf Of Jyotirmoy Bhattacharya via llvm-dev
Sent: Wednesday, May 10, 2017 10:16
To: llvm-dev at lists.llvm.org
Subject: [llvm-dev] autovectorization of outer loop
I have the following C++ code that evaluates a Chebyshev polynomial using Clenshaw's algorithm
void cheby_eval(double *coeffs,int n,double *xs,double *ys,int m)
{
#pragma omp simd
for (int i=0;i<m;i++){
double x = xs[i];
double u0=0,u1=0,u2=0;
for (int k=n;k>=0;k--){
u2 = u1;
u1 = u0;
u0 = 2*x*u1-u2+coeffs[k];
}
ys[i] = 0.5*(coeffs[0]+u0-u2);
}
}
I'm hoping for an autovectorization of the outer loop so that the inner loop operates on vectors.
When compiled with
clang++ -O3 -march=haswell -Rpass-analysis=loop-vectorize -S chebyshev.cc
using clang++ 3.8.1-23, no vectorization happens and I get the message
chebyshev.cc:19:18: remark: loop not vectorized: cannot identify array bounds
[-Rpass-analysis=loop-vectorize]
ys[i] = 0.5*(coeffs[0]+u0-u2);
^
chebyshev.cc:21:1: remark: loop not vectorized: value that could not be
identified as reduction is used outside the loop
[-Rpass-analysis=loop-vectorize]
On the same code icc vectorizes the outer loop as expected.
I was wondering if there are small ways in which I can change my code to help LLVM's autovectorizer to succeed. I would also appreciate any pointers to documentation or LLVM source that can help me better understand how autovectorization of outer loops works.
Regards,
Jyotirmoy Bhattacharya
PS. The interesting part of icc's assembler output is
..B1.4: # Preds ..B1.8 ..B1.3
xorl %r15d, %r15d #14.5
xorl %ebx, %ebx #14.21
testq %rsi, %rsi #14.21
vmovupd (%rdx,%r9,8), %ymm3 #12.16
vxorpd %ymm5, %ymm5, %ymm5 #13.14
vmovdqa %ymm1, %ymm4 #13.19
vmovdqa %ymm1, %ymm2 #13.24
jl ..B1.8 # Prob 2% #14.21
..B1.5: # Preds ..B1.4
vaddpd %ymm3, %ymm3, %ymm3 #17.14
..B1.6: # Preds ..B1.6 ..B1.5
vmovapd %ymm4, %ymm2 #20.3
incq %r15 #14.5
vmovapd %ymm5, %ymm4 #20.3
vfmsub213pd %ymm2, %ymm3, %ymm5 #17.19
vbroadcastsd (%r11,%rbx,8), %ymm6 #17.22
decq %rbx
vaddpd %ymm5, %ymm6, %ymm5 #17.22
cmpq %r10, %r15 #14.5
jb ..B1.6 # Prob 82% #14.5
..B1.8: # Preds ..B1.6 ..B1.4
vbroadcastsd (%rdi), %ymm3 #19.18
vaddpd %ymm3, %ymm5, %ymm4 #19.28
vsubpd %ymm2, %ymm4, %ymm2 #19.31
vmulpd %ymm2, %ymm0, %ymm5 #19.31
vmovupd %ymm5, (%rcx,%r9,8) #19.5
addq $4, %r9 #11.3
cmpq %r8, %r9 #11.3
jb ..B1.4 # Prob 82% #11
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