openGPMP
Open Source Mathematics Package
mtx_sse2_arr_f64.cpp
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33 #include <cassert>
34 #include <cstddef>
35 #include <cstdint>
36 #include <iostream>
37 #include <openGPMP/linalg/mtx.hpp>
38 #include <vector>
39 
40 #if defined(__x86_64__) || defined(__amd64__) || defined(__amd64)
41 
42 /************************************************************************
43  *
44  * Matrix Operations for SSE ISA
45  *
46  ************************************************************************/
47 #elif defined(__SSE2__)
48 // SSE2
49 #include <emmintrin.h>
50 #include <smmintrin.h>
51 /************************************************************************
52  *
53  * Matrix Operations on Arrays
54  *
55  ************************************************************************/
56 
57 // matrix addition using Intel intrinsics, accepts double arrays as matrices
58 void gpmp::linalg::Mtx::mtx_add(const double *A,
59  const double *B,
60  double *C,
61  int rows,
62  int cols) {
63  if (rows > 8) {
64  for (int i = 0; i < rows; ++i) {
65  int j = 0;
66  // requires at least size 4x4 size matrices
67  for (; j < cols - 1; j += 2) {
68  // load 4 elements from A, B, and C matrices using SIMD
69  __m128d a = _mm_loadu_pd(&A[i * cols + j]);
70  __m128d b = _mm_loadu_pd(&B[i * cols + j]);
71  __m128d c = _mm_loadu_pd(&C[i * cols + j]);
72  // perform vectorized addition and accumulate the result
73  c = _mm_add_pd(a, b);
74 
75  // store the result back to the C matrix
76  _mm_storeu_pd(&C[i * cols + j], c);
77  }
78 
79  // handle the remaining elements that are not multiples of 8
80  for (; j < cols; ++j) {
81  C[i * cols + j] = A[i * cols + j] + B[i * cols + j];
82  }
83  }
84  } else {
85  // use standard matrix addition
86  std_mtx_add(A, B, C, rows, cols);
87  }
88 }
89 
90 #endif
91 
92 #endif
void std_mtx_add(const T *A, const T *B, T *C, int rows, int cols)
Perform matrix addition on two matrices as flat arrays.
Definition: mtx.hpp:510
list C
Definition: linalg.py:24
list A
Definition: linalg.py:22
list B
Definition: linalg.py:23