/github/workspace/src/BasicMathFunctions/dot_prod/plp_dot_prod_f32_parallel.c
Functions
Name | |
---|---|
void | plp_dot_prod_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 dot product of 32-bit float vectors. |
Functions Documentation
function plp_dot_prod_f32_parallel
void plp_dot_prod_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 dot product of 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_dot_prod_f32_parallel.c
* Description: 32-bit float parallel dot product glue code
*
* $Date: 01. Jan 2020
* $Revision: V0
*
* Target Processor: PULP cores
* ===================================================================== */
/*
* Copyright (C) 2019 ETH Zurich and University of Bologna.
*
* Author: Xiaying Wang, 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_dot_prod_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_dot_prod_instance_f32 S;
// Initialize the plp_dot_prod_instance
S.pSrcA = pSrcA;
// printf("pSrcA[0] %d\n", pSrcA[0]);
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_dot_prod_f32p_xpulpv2, (void *)&S);
float32_t sum = 0;
for (i = 0; i < nPE; i++) { // not necessary hal_cl_nb_pe_cores()
sum += resBuffer[i];
}
/* #if defined(PLP_MATH_LOOPUNROLL) */
/* #undef PLP_MATH_LOOPUNROLL */
/* #endif */
/* #if defined(PLP_MATH_LOOPUNROLL) */
/* //uint32_t blkCnt = blockSize/nPE/2 * 2 * nPE; */
/* //printf("blkCnt %d\n", blkCnt); */
/* for (i= ((tmpblkSizePE>>1) <<1) * nPE; i<blockSize; i++){ */
/* sum += pSrcA[i] * pSrcB[i]; */
/* } */
/* #else // PLP_MATH_LOOPUNROLL */
for (i = (tmpblkSizePE)*nPE; i < blockSize; i++) {
sum += pSrcA[i] * pSrcB[i];
}
/* #endif */
*pRes = sum;
/* #define PLP_MATH_LOOPUNROLL */
}
}
Updated on 2023-03-01 at 16:16:32 +0000