/github/workspace/src/MatrixFunctionsStride/mat_mult_stride/plp_mat_mult_stride_f32_parallel.c
Functions
Name | |
---|---|
void | plp_mat_mult_stride_f32_parallel(const float restrict pSrcA, const float restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, uint32_t strideA, uint32_t strideB, uint32_t strideC, uint32_t nPE, float *restrict pDstC) Glue code for parallel strided matrix multiplication of 32-bit floating-point matrices. |
Functions Documentation
function plp_mat_mult_stride_f32_parallel
void plp_mat_mult_stride_f32_parallel(
const float *__restrict__ pSrcA,
const float *__restrict__ pSrcB,
uint32_t M,
uint32_t N,
uint32_t O,
uint32_t strideA,
uint32_t strideB,
uint32_t strideC,
uint32_t nPE,
float *__restrict__ pDstC
)
Glue code for parallel strided matrix multiplication of 32-bit floating-point matrices.
Parameters:
- pSrcA points to the first input matrix
- pSrcB points to the second input matrix
- M height of the first input matrix
- N width of the first input matrix and hight of the second
- O width of the second input matrix
- strideA Stride of matrix A (elements between each row)
- strideB Stride of matrix B (elements between each row)
- strideC Stride of output matrix (elements between each row)
- nPE Number of cores to use
- pDstC points to the output matrix
Return: none
Glue code for parallel strided matrix matrix multiplication of a 32-bit floating-point matrices.
Source code
/* =====================================================================
* Project: PULP DSP Library
* Title: plp_mat_mult_stride_i32_parallel.c
* Description: parallel 32-bit integer strided matrix multiplication glue code
*
* $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_stride_f32_parallel(const float *__restrict__ pSrcA,
const float *__restrict__ pSrcB,
uint32_t M,
uint32_t N,
uint32_t O,
uint32_t strideA,
uint32_t strideB,
uint32_t strideC,
uint32_t nPE,
float *__restrict__ pDstC) {
if (hal_cluster_id() == ARCHI_FC_CID) {
printf("parallel and floating-point processing supported only for cluster side\n");
return;
} else {
plp_mat_mult_stride_instance_f32 args = { .pSrcA = pSrcA,
.pSrcB = pSrcB,
.M = M,
.N = N,
.O = O,
.strideA = strideA,
.strideB = strideB,
.strideC = strideC,
.nPE = nPE,
.pDstC = pDstC };
hal_cl_team_fork(nPE, plp_mat_mult_stride_f32p_xpulpv2, (void *)&args);
}
}
Updated on 2023-03-01 at 16:16:33 +0000