/github/workspace/src/DistanceFunctions/plp_euclidean_distance/plp_euclidean_distance_f32_parallel.c

Functions

	Name
void	plp_euclidean_distance_f32_parallel(const float32_t restrict pSrcA, const float32_t restrict pSrcB, uint32_t blockSize, uint32_t nPE, float32_t *restrict pRes) Glue code for parallel Euclidean distance between 32-bit float vectors.

Functions Documentation

function plp_euclidean_distance_f32_parallel

void plp_euclidean_distance_f32_parallel(
    const float32_t *__restrict__ pSrcA,
    const float32_t *__restrict__ pSrcB,
    uint32_t blockSize,
    uint32_t nPE,
    float32_t *__restrict__ pRes
)

Glue code for parallel Euclidean distance between 32-bit float vectors.

Parameters:

• pSrcA points to the first input vector
• pSrcB points to the second input vector
• blockSize number of samples in each vector
• nPE number of parallel processing units
• pRes output result returned here

Return: none

Source code

/* =====================================================================
 * Project:      PULP DSP Library
 * Title:        plp_euclidean_distance_f32_parallel.c
 * Description:  32-bit float parallel euclidean distance glue code
 *
 * $Date:        01. Jan 2020
 * $Revision:    V0
 *
 * Target Processor: PULP cores
 * ===================================================================== */
/*
 * Copyright (C) 2022 ETH Zurich and University of Bologna.
 *
 * Author: Marco Bertuletti, 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.
 *
 * Notice: project inspired by ARM CMSIS DSP and parts of source code
 * ported and adopted for RISC-V PULP platform from ARM CMSIS DSP
 * released under Copyright (C) 2010-2019 ARM Limited or its affiliates
 * with Apache-2.0.
 */

#include "plp_math.h"

void plp_euclidean_distance_f32_parallel( const float32_t *__restrict__ pSrcA,
                                          const float32_t *__restrict__ pSrcB,
                                          uint32_t blockSize,
                                          uint32_t nPE,
                                          float32_t *__restrict__ pRes) {

    if (hal_cluster_id() == ARCHI_FC_CID) {
        printf("parallel processing supported only for cluster side\n");
        return;
    } else {

        uint32_t i, tmpblkSizePE = blockSize / nPE;
        float32_t resBuffer[hal_cl_nb_pe_cores()];

        plp_euclidean_distance_instance_f32 S;

        // Initialize the plp_dot_prod_instance
        S.pSrcA = pSrcA;
        S.pSrcB = pSrcB;
        S.blkSizePE = tmpblkSizePE;
        S.nPE = nPE;
        S.resBuffer = resBuffer;

        // Fork the dot product to nPE cores (i.e. processing units)
        hal_cl_team_fork(nPE, plp_euclidean_distance_f32p_xpulpv2, (void *)&S);

        float32_t sum = 0, tmp;
        for (i = 0; i < nPE; i++) { // not necessary hal_cl_nb_pe_cores()
            sum += resBuffer[i];
        }
        for (i = (tmpblkSizePE)*nPE; i < blockSize; i++) {
            tmp = pSrcA[i] - pSrcB[i];
            sum += tmp*tmp;
        }

        plp_sqrt_f32(&sum,pRes);

    }
}

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Updated on 2023-03-01 at 16:16:32 +0000