Reputation: 805
I have been struggling with vectorizing a particular application for sometime now and I have tried everything. From autovectorization, to handcoded SSE intrinsics. But somehow I am unable to obtain speedup on my stencil based application.
Following is a snippet of my current code, which I have vectorized using SSE intrinsics. When I compile (Intel icc) it using -vec-report3 I constantly obtain this message:
remark: loop was not vectorized: statement cannot be vectorized.
#pragma ivdep
for ( i = STENCIL; i < z - STENCIL; i+=4 )
{
it = it2 + i;
__m128 tmp2i = _mm_mul_ps(_mm_add_ps(_mm_load_ps(&p2[i+j*it_j-it_j4+k*it_k]),_mm_load_ps(&p2[i+j*it_j+it_j4+k*it_k])),X4_i); //loop was not vectorized: statement cannot be vectorized
__m128 tmp3 = _mm_mul_ps(_mm_add_ps(_mm_load_ps(&p2[i+j*it_j-it_j3+k*it_k]),_mm_load_ps(&p2[i+j*it_j+it_j3+k*it_k])),X3_i);
__m128 tmp4 = _mm_mul_ps(_mm_add_ps(_mm_load_ps(&p2[i+j*it_j-it_j2+k*it_k]),_mm_load_ps(&p2[i+j*it_j+it_j2+k*it_k])),X2_i);
__m128 tmp5 = _mm_mul_ps(_mm_add_ps(_mm_load_ps(&p2[i+j*it_j-it_j +k*it_k]),_mm_load_ps(&p2[i+j*it_j+it_j +k*it_k])),X1_i);
__m128 tmp6 = _mm_add_ps(_mm_add_ps(_mm_add_ps(tmp2i,tmp3),_mm_add_ps(tmp4,tmp5)), _mm_mul_ps(_mm_load_ps(&p2[it]),C00_i));
_mm_store_ps(&tmp2[i],tmp6);
}
Am I missing something crucial? Since the message doesnt elaborate as to why it cannot be vectorized, I am finding it difficult to ascertain the bottleneck.
UPDATE: After careful consideration of the suggestions, I tweaked the code the following way. I thought it best to break it down further, to identify the statements that actually are responsible for the vector dependence.
//#pragma ivdep
for ( i = STENCIL; i < z - STENCIL; i+=4 )
{
it = it2 + i;
__m128 center = _mm_mul_ps(_mm_load_ps(&p2[it]),C00_i);
u_j4 = _mm_load_ps(&p2[i+j*it_j-it_j4+k*it_k]); //Line 180
u_j3 = _mm_load_ps(&p2[i+j*it_j-it_j3+k*it_k]);
u_j2 = _mm_load_ps(&p2[i+j*it_j-it_j2+k*it_k]);
u_j1 = _mm_load_ps(&p2[i+j*it_j-it_j +k*it_k]);
u_j8 = _mm_load_ps(&p2[i+j*it_j+it_j4+k*it_k]);
u_j7 = _mm_load_ps(&p2[i+j*it_j+it_j3+k*it_k]);
u_j6 = _mm_load_ps(&p2[i+j*it_j+it_j2+k*it_k]);
u_j5 = _mm_load_ps(&p2[i+j*it_j+it_j +k*it_k]);
__m128 tmp2i = _mm_mul_ps(_mm_add_ps(u_j4,u_j8),X4_i);
__m128 tmp3 = _mm_mul_ps(_mm_add_ps(u_j3,u_j7),X3_i);
__m128 tmp4 = _mm_mul_ps(_mm_add_ps(u_j2,u_j6),X2_i);
__m128 tmp5 = _mm_mul_ps(_mm_add_ps(u_j1,u_j5),X1_i);
__m128 tmp6 = _mm_add_ps(_mm_add_ps(tmp2i,tmp3),_mm_add_ps(tmp4,tmp5));
__m128 tmp7 = _mm_add_ps(tmp6,center);
_mm_store_ps(&tmp2[i],tmp7); //Line 196
}
When I compile (icc) the above code without #pragma ivdep
I get the following message:
remark: loop was not vectorized: existence of vector dependence.
vector dependence: assumed FLOW dependence between tmp2 line 196 and tmp2 line 196.
vector dependence: assumed ANTI dependence between tmp2 line 196 and tmp2 line 196.
When I compile (icc) it with the #pragma ivdep
, I get the following message:
remark: loop was not vectorized: unsupported data type. //Line 180
Why is there a dependence suggested for Line 196? How can I eliminate the suggested vector dependence?
Upvotes: 11
Views: 1305
Reputation: 8030
The problem is that you're trying to use auto-vectorization together with hand vectorized code. The compiler says that the line can't be vectorize because you can't vectorize a vector function.
Either let the compiler to auto vectorize it, or disable auto vectorization and manually vectorize your code. As already commented too, the auto vectorizer will calculate vectorization profitability: it checks if it's worth or not to vectorize your code.
Upvotes: 2