/github/workspace/src/MatrixFunctions/mat_mult_trans/kernels/plp_mat_mult_trans_f32p_xpulpv2.c
Functions
Name | |
---|---|
void | plp_mat_mult_trans_f32p_xpulpv2(void * args) Parallel matrix multiplication of 32-bit floating-point matrices kernel for XPULPV2 extension. |
Defines
Name | |
---|---|
BASIC_VERSION |
Functions Documentation
function plp_mat_mult_trans_f32p_xpulpv2
void plp_mat_mult_trans_f32p_xpulpv2(
void * args
)
Parallel matrix multiplication of 32-bit floating-point matrices kernel for XPULPV2 extension.
Parameters:
- args pointer to plp_mat_mult_instance_f32 struct initialized by plp_mat_mult_trans_f32_parallel
Return: none
Parallel 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_f32p_xpulpv2.c
* Description: 32-bit integer matrix multiplication for XPULPV2
*
* $Date: 18. July 2019
* $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_f32p_xpulpv2(void *args) {
int core_id = hal_core_id();
plp_mat_mult_instance_f32 *a = (plp_mat_mult_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 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 * N + n] * pSrcB[o * N + n];
}
pDstC[m * O + o] = sum;
}
}
#else
// TODO: Hackathon
#endif
#undef BASIC_VERSION
}
Updated on 2023-03-01 at 16:16:33 +0000