mtx_sse2_arr_f32.cpp

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 * Copyright (C) Akiel Aries, <akiel@akiel.org>, et al.
 *
 * This software is licensed as described in the file LICENSE, which
 * you should have received as part of this distribution. The terms
 * among other details are referenced in the official documentation
 * seen here : https://akielaries.github.io/openGPMP/ along with
 * important files seen in this project.
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 * WARRANTY OF ANY KIND, either express or implied.
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#include <cassert>
#include <cstddef>
#include <cstdint>
#include <iostream>
#include <openGPMP/linalg/mtx.hpp>
#include <vector>
 
#if defined(__x86_64__) || defined(__amd64__) || defined(__amd64)
 
/************************************************************************
 *
 * Matrix Operations for SSE ISA
 *
 ************************************************************************/
#elif defined(__SSE2__)
// SSE2
#include <emmintrin.h>
#include <smmintrin.h>
/************************************************************************
 *
 * Matrix Operations on Arrays
 *
 ************************************************************************/
// matrix addition using Intel intrinsics, accepts float arrays as matrices
void gpmp::linalg::Mtx::mtx_add(const float *A,
                                const float *B,
                                float *C,
                                int rows,
                                int cols) {
    if (rows > 16) {
        for (int i = 0; i < rows; ++i) {
            int j = 0;
            // requires at least size 4x4 size matrices
            for (; j < cols - 3; j += 4) {
                // load 4 elements from A, B, and C matrices using SIMD
                __m128 a = _mm_loadu_ps(&A[i * cols + j]);
                __m128 b = _mm_loadu_ps(&B[i * cols + j]);
                __m128 c = _mm_loadu_ps(&C[i * cols + j]);
                // perform vectorized addition and accumulate the result
                c = _mm_add_ps(a, b);
 
                // store the result back to the C matrix
                _mm_storeu_ps(&C[i * cols + j], c);
            }
 
            // handle the remaining elements that are not multiples of 8
            for (; j < cols; ++j) {
                C[i * cols + j] = A[i * cols + j] + B[i * cols + j];
            }
        }
    } else {
        // use standard matrix addition
        std_mtx_add(A, B, C, rows, cols);
    }
}
 
#endif
 
#endif