1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
|
///////////////////////////////////////////////////////////////////////
// File: dotproductavx512.cpp
// Description: Architecture-specific dot-product function.
// Author: Stefan Weil
//
// (C) Copyright 2022
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
///////////////////////////////////////////////////////////////////////
#if !defined(__AVX512F__)
/* willus mod -- don't thrown an error. Instead just skip. */
/*
# if defined(__i686__) || defined(__x86_64__)
# error Implementation only for AVX capable architectures
# endif
*/
#else
# include <immintrin.h>
# include <cstdint>
# include "dotproduct.h"
namespace tesseract {
// Computes and returns the dot product of the n-vectors u and v.
// Uses Intel AVX intrinsics to access the SIMD instruction set.
# if defined(FAST_FLOAT)
float DotProductAVX512F(const float *u, const float *v, int n) {
const unsigned quot = n / 16;
const unsigned rem = n % 16;
__m512 t0 = _mm512_setzero_ps();
for (unsigned k = 0; k < quot; k++) {
__m512 f0 = _mm512_loadu_ps(u);
__m512 f1 = _mm512_loadu_ps(v);
t0 = _mm512_fmadd_ps(f0, f1, t0);
u += 16;
v += 16;
}
float result = _mm512_reduce_add_ps(t0);
for (unsigned k = 0; k < rem; k++) {
result += *u++ * *v++;
}
return result;
}
# else
double DotProductAVX512F(const double *u, const double *v, int n) {
const unsigned quot = n / 8;
const unsigned rem = n % 8;
__m512d t0 = _mm512_setzero_pd();
for (unsigned k = 0; k < quot; k++) {
t0 = _mm512_fmadd_pd(_mm512_loadu_pd(u), _mm512_loadu_pd(v), t0);
u += 8;
v += 8;
}
double result = _mm512_reduce_add_pd(t0);
for (unsigned k = 0; k < rem; k++) {
result += *u++ * *v++;
}
return result;
}
# endif
} // namespace tesseract.
#endif
|
