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/github/workspace/src/MatrixFunctionsStride/mat_mult_trans_stride/kernels/plp_mat_mult_trans_stride_f32p_xpulpv2.c

Functions

Name
void plp_mat_mult_trans_stride_f32p_xpulpv2(void * args)
Parallel strided matrix multiplication of 32-bit floating-point matrices kernel for XPULPV2 extension.

Defines

Name
BASIC_VERSION

Functions Documentation

function plp_mat_mult_trans_stride_f32p_xpulpv2

void plp_mat_mult_trans_stride_f32p_xpulpv2(
    void * args
)

Parallel strided matrix multiplication of 32-bit floating-point matrices kernel for XPULPV2 extension.

Parameters:

Return: none

Parallel strided matrix transposed matrix multiplication of 32-bit floating-point matrices kernel for XPULPV2 extension.

Macros Documentation

define BASIC_VERSION

#define BASIC_VERSION

Source code

/* =====================================================================
 * Project:      PULP DSP Library
 * Title:        plp_mat_mult_trans_stride_f32p_xpulpv2.c
 * Description:  32-bit parallel floating-point strided matrix multiplication for XPULPV2
 *
 * $Date:        14. July 2020
 * $Revision:    V0
 *
 * Target Processor: PULP cores
 * ===================================================================== */
/*
 * Copyright (C) 2020 ETH Zurich and University of Bologna.
 *
 * Author: Tibor Schneider, ETH Zurich
 *
 * SPDX-License-Identifier: Apache-2.0
 *
 * 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
 *
 * 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.
 */

#include "plp_math.h"

void plp_mat_mult_trans_stride_f32p_xpulpv2(void *args) {

    int core_id = hal_core_id();

    plp_mat_mult_stride_instance_f32 *a = (plp_mat_mult_stride_instance_f32 *)args;

    const float *__restrict__ pSrcA = a->pSrcA;
    const float *__restrict__ pSrcB = a->pSrcB;
    uint32_t M = a->M;
    uint32_t N = a->N;
    uint32_t O = a->O;
    uint32_t strideA = a->strideA;
    uint32_t strideB = a->strideB;
    uint32_t strideC = a->strideC;
    uint32_t nPE = a->nPE;
    float *__restrict__ pDstC = a->pDstC;

#define BASIC_VERSION // if used don't forget to also use the undefine at end of file
#ifdef BASIC_VERSION

    uint32_t m, n, o;

    for (m = core_id; m < M; m += nPE) {
        for (o = 0; o < O; o++) {
            float sum = 0;
            for (n = 0; n < N; n++) {
                sum = sum + pSrcA[m * strideA + n] * pSrcB[o * strideB + n];
            }
            pDstC[m * strideC + o] = sum;
        }
    }

#else

    // TODO: Hackathon

#endif
#undef BASIC_VERSION
}

Updated on 2023-03-01 at 16:16:33 +0000